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Poly Rating · from the trend of the day

messi mls stats 2026: fame vs production

Messi is the rare case where the cited boards put him first in both US search interest and goal contributions per 90; the exact stats snapshots differ.

  • No. 1: Lionel Messi
  • 10 places

01Final list

The leading AIs each built their own list of ten independently. Here is one result that is easy to check: every place has a reason, a source, and the list of AIs that included it.

A bright badge means this AI put the entry on its list. A dim badge means it did not.

  1. 1

    Lionel Messi

    The cited MLS snapshot lists 23 goals and 13 assists; another source gives 1.43 G+A per 90. The sources differ, but both put him at the top of their boards.

    Included it: Claude, ChatGPT, Meta, Grok, Gemini, DeepSeek, Qwen. Did not include: StepFun, Wenxin.

    In their lists: Claude: 10 · ChatGPT: 1 · Meta: 5 · Grok: 1 · Gemini: 10 · DeepSeek: see list · Qwen: 1

    What each AI noted 7
    • Claudeplace 10

      The anchor case: 34 contributions in 2,271 minutes gives 1.35 per 90, and he is first in both attention and output.

      Source ↗
    • ChatGPTplace 1

      36 goal contributions in 2,270 minutes works out to 1.43 per 90, while the official snapshot showed 23 goals and 13 assists at an earlier crawl.

      Source ↗
    • Metaplace 5

      Attention rank 1 and production rank 1 align - 23 goals 14 assists in 2270' for 1.47 G+A per 90, both top, no gap but proves elite matches fame

      Source ↗
    • Grokplace 1

      Leads with ~35 goal contributions and ~1.39 per 90 — attention rank matches production rank #1

    • Geminiplace 10

      The ultimate anomaly: Messi tops both the U.S. search index (100) and the offensive output board (1.47 G+A/90) with an absolute 0-rank gap.

      Source ↗
    • DeepSeek

      Named differently in its own list: open the full list.

      see list
    • Qwenplace 1

      The only player where the global spotlight perfectly matches his elite output of 23 goals and 16 assists.

    7 AIs put it here
  2. 2

    Petar Musa

    One cited table gives Musa 1.24 G+A per 90, while another says 1.21; both call him a leading producer with much lower search attention than Messi.

    Included it: Claude, ChatGPT, Meta, Grok, Gemini, DeepSeek, Qwen. Did not include: StepFun, Wenxin.

    In their lists: Claude: 4 · ChatGPT: 2 · Meta: 6 · Grok: 2 · Gemini: 1 · DeepSeek: 1 · Qwen: 7

    What each AI noted 7
    • Claudeplace 4

      He has 24 contributions in 1,832 minutes, 1.18 per 90, second only to Messi among regulars, and few people search for him.

      Source ↗
    • ChatGPTplace 2

      Dallas’s Musa had 24 goal contributions in 1,741 minutes in the official snapshot, a strong output profile beyond the celebrity headline.

      Source ↗
    • Metaplace 6

      Production rank 3 with 18 goals but attention rank 20 - 18-goal scorer trails fame by 17, low search despite second in Golden Boot

      Source ↗
    • Grokplace 2

      24 G+A and 1.18 per 90 — production near top but far less search volume than global names

    • Geminiplace 1

      Averaging 1.15 G+A/90 with 19 goals put him 2nd in MLS offensive efficiency, yet his #18 search index makes him the league's most overlooked striker.

      Source ↗
    • DeepSeekplace 1

      23 goal contributions in 1,710 minutes — more per 90 than every shortlisted star except Messi — yet only the 10th-most-searched name in this comparison.

      Source ↗
    • Qwenplace 7

      The Croatian striker is arguably the league's most lethal pure scorer (0.93 G/90), yet he remains virtually unknown to casual US searchers.

      Source ↗
    7 AIs put it here
  3. 3

    Evander

    The cited figures range from 1.00 to 1.11 G+A per 90; supplied answers place his output well above his search attention, but exact Trends ranks are not consistent.

    Included it: Claude, Meta, Grok, Qwen. Did not include: ChatGPT, Gemini, StepFun, DeepSeek, Wenxin.

    In their lists: Claude: 7 · Meta: 7 · Grok: 5 · Qwen: see list

    What each AI noted 4
    • Claudeplace 7

      13 goals and 9 assists in 1,988 minutes is 1.00 per 90, level with Luis Suárez, who has more attention.

      Source ↗
    • Metaplace 7

      Production rank 7 with 15G 13A but attention rank 19 - Brazilian playmaker 1.12 G+A per 90 trails fame despite double-double

      Source ↗
    • Grokplace 5

      23 G+A and 1.04 per 90 — solid production with moderate fame

    • Qwen

      Named differently in its own list: open the full list.

      see list
    4 AIs put it here
  4. 4

    Sam Surridge

    One answer calculates 0.95 G+A per 90 and another 0.94; both describe his output as strong relative to his search attention.

    Included it: Claude, Meta, Grok, Gemini, Qwen. Did not include: ChatGPT, StepFun, DeepSeek, Wenxin.

    In their lists: Claude: 6 · Meta: see list · Grok: see list · Gemini: 8 · Qwen: see list

    What each AI noted 5
    • Claudeplace 6

      17 goals in just 1,804 minutes gives 0.90 per 90 for someone far less searched than the league's famous names.

      Source ↗
    • Meta

      Named differently in its own list: open the full list.

      see list
    • Grok

      Named differently in its own list: open the full list.

      see list
    • Geminiplace 8

      A quiet hitman netting 17 regular-season goals at 0.95 G+A/90 (6th in MLS), Surridge registers barely a ripple at 17th in search popularity.

      Source ↗
    • Qwen

      Named differently in its own list: open the full list.

      see list
    5 AIs put it here
  5. 5

    Anders Dreyer

    Supplied per-90 figures range from 0.84 to 1.03; answers generally put his production ahead of his US search rank, but the ranking basis varies.

    Included it: Claude, Meta, Grok, Qwen. Did not include: ChatGPT, Gemini, StepFun, DeepSeek, Wenxin.

    In their lists: Claude: see list · Meta: 10 · Grok: 3 · Qwen: see list

    What each AI noted 4
    • Claude

      Named differently in its own list: open the full list.

      see list
    • Metaplace 10

      Production rank 8 with 12G 10A expansion star but attention rank 21 - San Diego's Dane trails fame by 13 despite 22 contributions

      Source ↗
    • Grokplace 3

      24 G+A — strong output with less global spotlight than Son or Messi

    • Qwen

      Named differently in its own list: open the full list.

      see list
    4 AIs put it here
  6. 6

    Milan Iloski

    The supplied snapshots give about 0.78–0.91 G+A per 90 and repeatedly flag him as a high-output, low-attention name; the exact rate differs by snapshot.

    Included it: ChatGPT, Meta, Gemini, DeepSeek. Did not include: Claude, Grok, StepFun, Wenxin, Qwen.

    In their lists: ChatGPT: 4 · Meta: 8 · Gemini: 2 · DeepSeek: see list

    What each AI noted 4
    • ChatGPTplace 4

      Philadelphia’s 23 combined goals and assists in 2,274 minutes equal about 0.91 per 90 in the official snapshot.

      Source ↗
    • Metaplace 8

      Production rank 6 with 16 goals late surge but attention rank 26 - unknown to casual search despite Golden Boot push

      Source ↗
    • Geminiplace 2

      Sniping 18 goals at 1.04 G+A/90 gave him the 4th best production rate in America, while ranking 21st in public search interest.

      Source ↗
    • DeepSeek

      Named differently in its own list: open the full list.

      see list
    4 AIs put it here
  7. 7

    Brian White

    One cited snapshot gives 0.79 G+A per 90; another gives about 0.76. The supplied answers agree he is a strong producer with comparatively low search attention.

    Included it: ChatGPT, Meta, DeepSeek. Did not include: Claude, Grok, Gemini, StepFun, Wenxin, Qwen.

    In their lists: ChatGPT: 3 · Meta: 4 · DeepSeek: 7

    What each AI noted 3
    • ChatGPTplace 3

      Vancouver’s 17 goals and 2 assists in 2,173 minutes yield about 0.79 contributions per 90.

      Source ↗
    • Metaplace 4

      Production rank 5 with 17 goals 2 assists but attention rank 24 - classic trail case, Golden Boot contender with low US search

      Source ↗
    • DeepSeekplace 7

      17G/2A and 0.86 G+A/90 — a pure finisher with almost no search buzz.

      Source ↗
    3 AIs put it here
  8. 8

    Son Heung-min

    The answers place Son near the top of the attention board, while his production figures conflict across snapshots; the 0.76–0.84 range is not a confirmed single rate.

    Included it: Claude, Meta, Grok, Gemini, Qwen. Did not include: ChatGPT, StepFun, DeepSeek, Wenxin.

    In their lists: Claude: 2 · Meta: 2 · Grok: 4 · Gemini: 7 · Qwen: 4

    What each AI noted 5
    • Claudeplace 2

      Son is globally famous and has 19 goal contributions in 2,200 minutes, 0.78 per 90, similar to Nashville's Cristian Espinoza (0.78).

      Source ↗
    • Metaplace 2

      Attention rank 2 worldwide star but production rank 18 - 6 goals 13 assists in 25 games, elite creator 0.76 G+A per 90 but not top scorer

    • Grokplace 4

      ~19 G+A — fame from Asia and LA outruns mid-pack production relative to top scorers

    • Geminiplace 7

      Commanding a gigantic 82 search index with 15 assists, Son's fame outpaces even his stellar 0.84 G+A/90 by five rank tiers.

    • Qwenplace 4

      A global superstar bringing unparalleled South Korean viewership, even if his goal-scoring rate trails the league's purest finishers.

    5 AIs put it here
  9. 9

    Thomas Müller

    Supplied answers place Müller high on search interest, but production claims vary sharply; the cited 0.80 rate and attention rank #1 come from one shortlist only.

    Included it: Claude, Meta, Grok, Gemini, Qwen. Did not include: ChatGPT, StepFun, DeepSeek, Wenxin.

    In their lists: Claude: see list · Meta: 1 · Grok: see list · Gemini: see list · Qwen: 3

    What each AI noted 5
    • Claude

      Named differently in its own list: open the full list.

      see list
    • Metaplace 1

      Attention rank 3 in US trends but production rank 28 - 9 goals 6 assists in 23 games, fame outruns 0.65 G+A per 90, defensive role not counted

    • Grok

      Named differently in its own list: open the full list.

      see list
    • Gemini

      Named differently in its own list: open the full list.

      see list
    • Qwenplace 3

      The German legend draws massive US search interest despite playing a classic Raumdeuter role with low scoring output.

      Source ↗
    5 AIs put it here
  10. 10

    Rodrigo De Paul

    The supplied answers consistently describe his fame as outpacing goal contributions, but the reported production and attention ranks conflict across sources and shortlists.

    Included it: Claude, Meta, Grok, Gemini, Qwen. Did not include: ChatGPT, StepFun, DeepSeek, Wenxin.

    In their lists: Claude: 1 · Meta: see list · Grok: see list · Gemini: 9 · Qwen: 2

    What each AI noted 5
    • Claudeplace 1

      He has 14 goal contributions in 2,148 minutes, 0.59 per 90, the lowest of 17 comparable players, though he plays alongside Messi.

      Source ↗
    • Meta

      Named differently in its own list: open the full list.

      see list
    • Grok

      Named differently in its own list: open the full list.

      see list
    • Geminiplace 9

      World Cup champion notoriety pushes De Paul to #5 in US searches, creating a 6-place gap with his 0.73 G+A/90 playmaking rate.

      Source ↗
    • Qwenplace 2

      A World Cup-winning engine room operator whose search volume vastly exceeds his modest goal contributions.

      Source ↗
    5 AIs put it here

02Worth knowing

What the AIs noticed while building the list.

Google Trends reports relative interest for selected names and a chosen time window; its index is not a count of fans or searches.

Noticed by:
Included it: Claude, ChatGPT, Meta, Gemini, DeepSeek, Qwen. Did not include: Grok, StepFun, Wenxin.
Source ↗

Goals plus assists per 90 leave out defensive work, buildup, and role value, so this is a narrow measure of production.

Noticed by:
Included it: Claude, ChatGPT, Meta, Gemini, Qwen. Did not include: Grok, StepFun, DeepSeek, Wenxin.
Source ↗

The supplied Messi snapshots differ on minutes and contributions, so the cited per-90 rates should not be treated as a synchronized final-season figure.

Noticed by:
Included it: Claude, ChatGPT, Meta, DeepSeek, Qwen. Did not include: Grok, Gemini, StepFun, Wenxin.
Source ↗

03How we counted

In plain words, no formulas.

1The question

Top 10 MLS Stars Whose Fame Outruns, or Trails, Their 2026 Production

2Why this topic

Stat tables count output and search tools count attention, and only placing them side by side shows who is over-watched and who is overlooked.

3Where it applies

MLS, 2026 regular season

4What we looked at

  • Goals plus assists per 90 minutes from official MLS player statistics
  • Google Trends search interest for each player over the same season, United States
  • Gap between a player's attention rank and his production rank, with both values shown
  • MLSsoccer.com player statistics — Goals, assists, and minutes; G+A per 90 is calculated from those values.
  • Google Trends — Normalized relative search interest for selected names, region, and period; not a fan count. Several supplied ranks are estimates or use different comparison sets.

5Who ranked

The leading AIs, each building its own list of ten independently and naming a source for every place: Claude, ChatGPT, Meta, Grok, Gemini, StepFun, DeepSeek, Wenxin, Qwen.

6How the places were set

The same entry written differently by different AIs was counted as one. The more AIs put an entry on their list, and the higher they put it, the higher its place. "AI agreement" shows how many of the AIs had it on their own list. Sources are only those the AIs found themselves; nothing was added by hand.

04Each AI's own list

🇺🇸 Claude10 places · 3 notes

The same question, answered by Claude alone. The final list above combines all the AIs.

  1. 1
    Rodrigo De Paul (Inter Miami)

    He has 14 goal contributions in 2,148 minutes, 0.59 per 90, the lowest of 17 comparable players, though he plays alongside Messi.

    Source ↗
  2. 2
    Son Heung-min (LAFC)

    Son is globally famous and has 19 goal contributions in 2,200 minutes, 0.78 per 90, similar to Nashville's Cristian Espinoza (0.78).

    Source ↗
  3. 3
    Marco Reus (LA Galaxy)

    A former Dortmund star, he has 16 contributions in 1,913 minutes, 0.75 per 90, below Chicago's Philip Zinckernagel (not ranked here).

    Source ↗
  4. 4
    Petar Musa (FC Dallas)

    He has 24 contributions in 1,832 minutes, 1.18 per 90, second only to Messi among regulars, and few people search for him.

    Source ↗
  5. 5
    Prince-Osei Owusu (CF Montréal)

    21 contributions in 2,126 minutes, 0.89 per 90 for the club with the second-lowest crowds in MLS.

    Source ↗
  6. 6
    Sam Surridge (Nashville SC)

    17 goals in just 1,804 minutes gives 0.90 per 90 for someone far less searched than the league's famous names.

    Source ↗
  7. 7
    Evander (FC Cincinnati)

    13 goals and 9 assists in 1,988 minutes is 1.00 per 90, level with Luis Suárez, who has more attention.

    Source ↗
  8. 8
    Cristian Espinoza (Nashville SC)

    He ties Messi for the assist lead at 12, but only 4 goals leave him at 0.78 per 90 against Messi's 1.35.

    Source ↗
  9. 9
    Guilherme (Houston Dynamo)

    16 goals and 7 assists in 2,441 minutes (0.85 per 90) came with very little attention.

    Source ↗
  10. 10
    Lionel Messi (Inter Miami)

    The anchor case: 34 contributions in 2,271 minutes gives 1.35 per 90, and he is first in both attention and output.

    Source ↗

What Claude noticed

Messi's 1.35 goal contributions per 90 is well above everyone else in the list. The next regular, Petar Musa, is at 1.18.

Stars of the same size can differ. Son Heung-min (0.78) and Miami's De Paul (0.59) are among the most-known players, but at the bottom of the production list. The most productive non-Miami names are Musa, Evander and Surridge.

Assist-heavy players look weaker on this measure. Espinoza has 12 assists, tied with Messi, but only 4 goals.

🇺🇸 ChatGPT10 places · 3 notes

The same question, answered by ChatGPT alone. The final list above combines all the AIs.

  1. 1
    Lionel Messi, MLS 2026

    36 goal contributions in 2,270 minutes works out to 1.43 per 90, while the official snapshot showed 23 goals and 13 assists at an earlier crawl.

    Source ↗
  2. 2
    Petar Musa, MLS 2026

    Dallas’s Musa had 24 goal contributions in 1,741 minutes in the official snapshot, a strong output profile beyond the celebrity headline.

    Source ↗
  3. 3
    Brian White, MLS 2026

    Vancouver’s 17 goals and 2 assists in 2,173 minutes yield about 0.79 contributions per 90.

    Source ↗
  4. 4
    Milan Iloski, MLS 2026

    Philadelphia’s 23 combined goals and assists in 2,274 minutes equal about 0.91 per 90 in the official snapshot.

    Source ↗
  5. 5
    2026 MLS production leaders, remaining players

    A defensible top ten by output needs the complete official table and matched minutes; the accessible snapshot excerpt exposes only four player rows.

    Source ↗
  6. 6
    2026 MLS production leaders, remaining players

    No individual placement is claimed without a complete player table and the requested attention measure.

    Source ↗
  7. 7
    2026 MLS production leaders, remaining players

    A fame-versus-output gap cannot be computed by substituting jersey sales or social followers for Google search interest.

    Source ↗
  8. 8
    2026 MLS production leaders, remaining players

    Rank order would be false precision without a complete 2026 regular-season snapshot and comparable Trends window.

    Source ↗
  9. 9
    2026 MLS production leaders, remaining players

    No published source found provides both player output per 90 and U.S. search rank for the same finished season.

    Source ↗
  10. 10
    2026 MLS production leaders, remaining players

    The fame-versus-production list is incomplete at the stated cutoff because matched Google Trends measurements were not publicly surfaced in the sources found.

    Source ↗

What ChatGPT noticed

The official MLS snapshot lists Messi at 23 goals, 13 assists, and 2,180 minutes; a later third-party crawl reports 36 contributions in 2,270 minutes, illustrating why the timestamp matters.

The third-party per-90 table puts Messi at 1.43 and Musa at 1.24 goal contributions per 90 in its 2026 data.

The requested attention comparison uses Google Trends’ normalized index, which measures relative interest rather than a headcount of fans or searches.

🇺🇸 Meta10 places · 2 notes

The same question, answered by Meta alone. The final list above combines all the AIs.

  1. 1
    Thomas Muller Vancouver Whitecaps 2026

    Attention rank 3 in US trends but production rank 28 - 9 goals 6 assists in 23 games, fame outruns 0.65 G+A per 90, defensive role not counted

  2. 2
    Son Heung-min LAFC 2026

    Attention rank 2 worldwide star but production rank 18 - 6 goals 13 assists in 25 games, elite creator 0.76 G+A per 90 but not top scorer

  3. 3
    Denis Bouanga LAFC 2026

    Production rank 4 with 17 goals 5 assists but attention rank 22 - trails fame by 18 places, top scorer hidden behind Son

    Source ↗
  4. 4
    Brian White Vancouver Whitecaps 2026

    Production rank 5 with 17 goals 2 assists but attention rank 24 - classic trail case, Golden Boot contender with low US search

    Source ↗
  5. 5
    Lionel Messi Inter Miami 2026

    Attention rank 1 and production rank 1 align - 23 goals 14 assists in 2270' for 1.47 G+A per 90, both top, no gap but proves elite matches fame

    Source ↗
  6. 6
    Petar Musa FC Dallas 2026

    Production rank 3 with 18 goals but attention rank 20 - 18-goal scorer trails fame by 17, low search despite second in Golden Boot

    Source ↗
  7. 7
    Evander FC Cincinnati 2026

    Production rank 7 with 15G 13A but attention rank 19 - Brazilian playmaker 1.12 G+A per 90 trails fame despite double-double

    Source ↗
  8. 8
    Milan Iloski Philadelphia Union 2026

    Production rank 6 with 16 goals late surge but attention rank 26 - unknown to casual search despite Golden Boot push

    Source ↗
  9. 9
    Luis Suarez Inter Miami 2026

    Attention rank 4 but production rank 15 - 11G 8A, fame outruns by 11 places as minutes managed at age 39

    Source ↗
  10. 10
    Anders Dreyer San Diego FC 2026

    Production rank 8 with 12G 10A expansion star but attention rank 21 - San Diego's Dane trails fame by 13 despite 22 contributions

    Source ↗

What Meta noticed

Top 4 Golden Boot contenders 2026 - Messi 23, Musa 18, White 17, Bouanga 17 - include two low-fame trail cases (White, Musa) vs two high-fame outrun cases

Judgment note: G+A per 90 leaves out defensive and role value - Muller leads Whitecaps chances created 27 but ranks low on G+A, and Bouanga's pressing not counted

🇺🇸 Grok10 places · 1 notes

The same question, answered by Grok alone. The final list above combines all the AIs.

  1. 1
    Lionel Messi (Inter Miami) 2026

    Leads with ~35 goal contributions and ~1.39 per 90 — attention rank matches production rank #1

  2. 2
    Petar Musa (FC Dallas) 2026

    24 G+A and 1.18 per 90 — production near top but far less search volume than global names

  3. 3
    Anders Dreyer (San Diego FC) 2026

    24 G+A — strong output with less global spotlight than Son or Messi

  4. 4
    Heung-min Son (LAFC) 2026

    ~19 G+A — fame from Asia and LA outruns mid-pack production relative to top scorers

  5. 5
    Evander (FC Cincinnati) 2026

    23 G+A and 1.04 per 90 — solid production with moderate fame

  6. 6
    Rafael Navarro (Colorado Rapids) 2026

    24 G+A — high output, lower search profile outside local fans

  7. 7
    Hany Mukhtar (Nashville SC) 2026

    23 G+A — consistent producer with less national spotlight than European imports

  8. 8
    Denis Bouanga (LAFC) 2026

    22 G+A — strong scoring but overshadowed by Son’s fame

  9. 9
    Luis Suárez (Inter Miami) 2026

    ~21 G+A — benefits from Messi proximity but production trails the captain

  10. 10
    Cristian Espinoza (Nashville SC) 2026

    Tied for most assists (~13) but lower overall G+A and fame than top names

What Grok noticed

Assists leaders include Espinoza and Dreyer alongside Messi and Son, showing playmaking value beyond pure goal totals.

🇺🇸 Gemini10 places

The same question, answered by Gemini alone. The final list above combines all the AIs.

  1. 1
    Petar Musa (FC Dallas, 2026)

    Averaging 1.15 G+A/90 with 19 goals put him 2nd in MLS offensive efficiency, yet his #18 search index makes him the league's most overlooked striker.

    Source ↗
  2. 2
    Milan Iloski (Philadelphia Union, 2026)

    Sniping 18 goals at 1.04 G+A/90 gave him the 4th best production rate in America, while ranking 21st in public search interest.

    Source ↗
  3. 3
    Olivier Giroud (Los Angeles FC, 2026)

    World Cup glory keeps Giroud 3rd in U.S. search interest despite a modest 0.71 G+A/90 that ranks 13th in MLS.

    Source ↗
  4. 4
    Cavan Sullivan (Philadelphia Union, 2026)

    At 17 years old, the wonderkid commands the 4th highest search volume in MLS while holding a developing 0.68 G+A/90 rate.

    Source ↗
  5. 5
    Kévin Denkey (FC Cincinnati, 2026)

    Cincinnati's club-record signing bagged 17 goals at 1.01 G+A/90 (5th in MLS) while ranking just 19th in American search curiosity.

    Source ↗
  6. 6
    Eric Maxim Choupo-Moting (New York Red Bulls, 2026)

    The former Bayern Munich poacher ranks 3rd in scoring rate at 1.08 G+A/90, functioning in near-silence at 12th in search interest.

    Source ↗
  7. 7
    Son Heung-min (Los Angeles FC, 2026)

    Commanding a gigantic 82 search index with 15 assists, Son's fame outpaces even his stellar 0.84 G+A/90 by five rank tiers.

  8. 8
    Sam Surridge (Nashville SC, 2026)

    A quiet hitman netting 17 regular-season goals at 0.95 G+A/90 (6th in MLS), Surridge registers barely a ripple at 17th in search popularity.

    Source ↗
  9. 9
    Rodrigo De Paul (Inter Miami CF, 2026)

    World Cup champion notoriety pushes De Paul to #5 in US searches, creating a 6-place gap with his 0.73 G+A/90 playmaking rate.

    Source ↗
  10. 10
    Lionel Messi (Inter Miami CF, 2026)

    The ultimate anomaly: Messi tops both the U.S. search index (100) and the offensive output board (1.47 G+A/90) with an absolute 0-rank gap.

    Source ↗
🇨🇳 StepFun10 places · 4 notes

The same question, answered by StepFun alone. The final list above combines all the AIs.

  1. 1
    Luis Suárez

    The fourth-most-searched player in MLS with a per-90 rate near the bottom of this group — roughly a third of Messi's.

    Source ↗
  2. 2
    Thomas Müller

    A World Cup winner's search volume with a playmaker's rate that now trails the league's quiet attackers.

    Source ↗
  3. 3
    Hirving Lozano

    Chucky's name outruns his rate — fewer than one goal contribution every 90 minutes in the most recent published season.

    Source ↗
  4. 4
    Anders Dreyer

    A top-three per-90 contributor in MLS searched a fraction as much as the league's famous names.

    Source ↗
  5. 5
    Heung-min Son

    The second-most-searched player in MLS whose 2025 rate came in half a season of minutes.

    Source ↗
  6. 6
    Evander

    MVP-caliber numbers with a fraction of the search volume of Miami's and LA's stars.

  7. 7
    Tai Baribo

    A top-five per-90 scorer searched less than most of the players he outproduces.

    Source ↗
  8. 8
    Sam Surridge

    Twenty-goal pace with mid-pack attention — the league's most under-the-radar striker.

    Source ↗
  9. 9
    Lionel Messi

    The one man who leads both lists — attention and output finally agree.

    Source ↗
  10. 10
    Denis Bouanga

    Attention and production in near-perfect balance: a top-six name with a top-six rate.

    Source ↗

What StepFun noticed

Messi is the only player who tops both lists — the rare case where the most famous player in the league is also its most productive per 90, which is why the mismatch story starts with the names behind him.

Three global icons (Suárez, Müller, Lozano) now sit near the bottom of per-90 output among MLS's attacking names — the aging-star pipeline is the league's central attention-versus-production tension.

Google Trends is an index, not a fan count: a peak of 100 is the busiest search week, not 100 people, and the attention rank reshuffles with the comparison window and the set of names compared.

San Diego's two stars split the gap in opposite directions — Lozano famous at ≈0.65 G+A/90 while Dreyer sits top-three at ≈1.2, the cleanest same-club contrast on the list.

🇨🇳 DeepSeek10 places · 3 notes

The same question, answered by DeepSeek alone. The final list above combines all the AIs.

  1. 1
    Petar Musa (FC Dallas)

    23 goal contributions in 1,710 minutes — more per 90 than every shortlisted star except Messi — yet only the 10th-most-searched name in this comparison.

    Source ↗
  2. 2
    Thomas Müller (Vancouver Whitecaps)

    A global household name with 15 contributions; his search rank is eight places higher than his production rank.

  3. 3
    Evander Ferreira (FC Cincinnati)

    13G/10A in 1,873 minutes is elite output hidden behind a low search profile — production rank #2, attention rank #9.

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  4. 4
    Rodrigo De Paul (Inter Miami)

    A World Cup winner’s name travels much farther than 11 contributions in 1,800 minutes.

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  5. 5
    Robert Lewandowski (Chicago Fire)

    His Chicago presentation scored 52 on Google Trends, but 0.88 G+A/90 is middle-of-the-pack for this group.

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  6. 6
    Denis Bouanga (LAFC)

    14G/5A is good, but the search gap says his fame still trails the box score — attention #7, production #10.

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  7. 7
    Brian White (Vancouver Whitecaps)

    17G/2A and 0.86 G+A/90 — a pure finisher with almost no search buzz.

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  8. 8
    Sam Surridge (Nashville SC)

    16G/1A in 1,627 minutes; production rank fifth, attention rank eighth.

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  9. 9
    James Rodríguez (Minnesota United)

    Two assists in 194 minutes: the sample is tiny, but the fame gap is not.

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  10. 10
    Anders Dreyer (San Diego FC)

    24 contributions and 1.03 G+A/90, yet attention rank only sixth among this group — a mild case of production trailing fame.

    Source ↗

What DeepSeek noticed

Messi is the rare star whose attention and output are aligned: 23 goals and 13 assists in 26 MLS matches, leading the Golden Boot and tied for the assists lead. He is the anchor, not a mismatch case.

Petar Musa is the anti-Messi in this table: 18G/5A and 1.21 G+A/90, but only the 10th-most-searched name among the shortlist — a nine-place gap between production and attention.

Son Heung-min’s 15 assists lead MLS and his production is also high (1.09 G+A/90), so his gap is small — the opposite of a pure fame-over-production story.

🇨🇳 Qwen10 places · 2 notes

The same question, answered by Qwen alone. The final list above combines all the AIs.

  1. 1
    Lionel Messi (Inter Miami)

    The only player where the global spotlight perfectly matches his elite output of 23 goals and 16 assists.

  2. 2
    Rodrigo De Paul (Inter Miami)

    A World Cup-winning engine room operator whose search volume vastly exceeds his modest goal contributions.

    Source ↗
  3. 3
    Thomas Müller (Vancouver Whitecaps)

    The German legend draws massive US search interest despite playing a classic Raumdeuter role with low scoring output.

    Source ↗
  4. 4
    Son Heung-Min (LAFC)

    A global superstar bringing unparalleled South Korean viewership, even if his goal-scoring rate trails the league's purest finishers.

  5. 5
    Luis Suárez (Inter Miami)

    His 0.74 goals per 90 remains elite for his age, but his name recognition still slightly outpaces his current raw output.

    Source ↗
  6. 6
    Josh Sargent (Toronto FC)

    The USMNT striker draws heavy domestic searches from American fans, lifting his attention rank above his solid but unspectacular G/90.

  7. 7
    Petar Musa (FC Dallas)

    The Croatian striker is arguably the league's most lethal pure scorer (0.93 G/90), yet he remains virtually unknown to casual US searchers.

    Source ↗
  8. 8
    Carles Gil (New England Revolution)

    The Revolution's heartbeat consistently posts 10+ assists, but his low US search volume means his production heavily outstrips his fame.

  9. 9
    Denis Bouanga (LAFC)

    A relentless winger with elite per-90 attacking metrics, though his lack of European pedigree keeps his US search index low.

    Source ↗
  10. 10
    Facundo Torres (Austin FC)

    A constant goal threat for Austin, yet his Uruguayan flair hasn't translated into mainstream American search habits.

What Qwen noticed

Rodrigo De Paul's gap (-42) highlights how international stardom and World Cup pedigree drive US search interest far beyond a defensive midfielder's goal contributions.

Petar Musa's +20 gap proves that pure MLS scoring efficiency (0.93 G/90) does not automatically translate to mainstream American search habits without European national team exposure.