Four coaches have been sacked in the first six rounds. Sky Sport says that has not happened since 2000. Norway's VG says it has not happened in 67 years. Both say it is a record; they differ on how long.
Back to the trend of the day: Two struggling Italian football teams meet, and a coach's job may be at stake
Poly Rating · from the trend of the day
Serie A Coaches Under Pressure 2026-27
Bookmakers make Monza's Ivan Jurić favourite to be the next Serie A coach sacked, yet his side's chances were worth more than double their 4 points.
- No. 1: Kosta Runjaić (Udinese)
- 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
Kosta Runjaić (Udinese)
Four straight defeats, 15th on 4 points. The models put Udinese only 1.2–2.6 points below expected, so the poor start looks mostly earned. That gives him a weak case for patience.
Included it: Claude, ChatGPT, Gemini, DeepSeek. Did not include: Meta, Wenxin.In their lists: Claude: 10 · ChatGPT: 5 · Gemini: 1 · DeepSeek: see list
What each AI noted 4
- Claudeplace 10
4 points from 6.6 expected. Their problem is conceding (10.3 xGA), not scoring (9 goals from 7.3 xG).
Source ↗ - ChatGPTplace 5
Four points from six matches against 5.9–6.6 xPts: a modest points miss paired with a distinctly poor −3.1 xGD.
Source ↗ - Geminiplace 1
A staggering 4.4-point expected points deficit masks mid-table chance creation punished by recurring defensive blunders.
- DeepSeek
Named differently in its own list: open the full list.
see list
4 AIs put it here - 2
Ivan Jurić (Monza)
Shortest sack odds in Serie A (1.75–1.85), yet Monza's chances were worth 9.3–9.4 points against 4 actual. That is the strongest statistical case for patience on this list.
Included it: Claude, ChatGPT, DeepSeek. Did not include: Meta, Gemini, Wenxin.In their lists: Claude: 4 · ChatGPT: 1 · DeepSeek: 4
What each AI noted 3
- Claudeplace 4
Their xG (9.9) is higher than Lazio's, yet they sit on 4 points with a −6 goal difference.
Source ↗ - ChatGPTplace 1
Four actual points against 9.3 expected: a 5.3-point hole, with positive xGD suggesting the chances are better than the results.
Source ↗ - DeepSeekplace 4
4 points from 9.44 xPTS: the clearest 'chances good, finishing poor' case in Serie A.
Source ↗
3 AIs put it here - 3
Daniele De Rossi (Genoa)
Second from bottom on 4 points, with 5 goals scored. A first win eased his odds from 1.50 to 2.15. Both models say Genoa deserved about 3 more points.
Included it: Claude, ChatGPT, DeepSeek. Did not include: Meta, Gemini, Wenxin.In their lists: Claude: 8 · ChatGPT: see list · DeepSeek: see list
3 AIs put it here - 4
Eusebio Di Francesco (Lecce)
Lecce's 6 points flatter them: their chances were worth only 2.9–4.8 points, and their xGD is among the league's worst. Four losses in five; sack odds 2.50.
Included it: Claude, ChatGPT, DeepSeek. Did not include: Meta, Gemini, Wenxin.In their lists: Claude: see list · ChatGPT: see list · DeepSeek: 10
3 AIs put it here - 5
Paolo Vanoli (Fiorentina)
Took over at 0 points, and Fiorentina are still 18th on 4. Statz puts their chances at 9.3 points and Understat at 7.2, so the case for patience holds in both models.
Included it: Claude, DeepSeek. Did not include: ChatGPT, Meta, Gemini, Wenxin.In their lists: Claude: 5 · DeepSeek: see list
2 AIs put it here - 6
Alberto Gilardino (Parma)
Parma's 4 points are about what their chances earned (4.8 xPts), and their 4.6 xG is the league's lowest. Only his two-week tenure argues for giving him time.
Included it: Claude. Did not include: ChatGPT, Meta, Gemini, DeepSeek, Wenxin.In their lists: Claude: see list
What each AI noted 1
- Claude
Named differently in its own list: open the full list.
see list
1 AIs put it here - 7
Raffaele Palladino (Bologna)
Bologna's 5 points sit against 9.8–10.4 expected, one of the biggest shortfalls in the league. The table is harsh, but the chances say top half.
Included it: Claude, DeepSeek. Did not include: ChatGPT, Meta, Gemini, Wenxin.In their lists: Claude: 3 · DeepSeek: 5
2 AIs put it here - 8
Davide Nicola (Venezia)
Bottom on 3 points with a −10 goal difference. He only arrived on 13 October and won his first game, against Napoli, and the models see about 7 points' worth of chances.
Included it: DeepSeek. Did not include: Claude, ChatGPT, Meta, Gemini, Wenxin.In their lists: DeepSeek: 7
What each AI noted 1
- DeepSeekplace 7
3 points from 7.02 xPTS: even after the first win, the gap says the table is harsh.
Source ↗
1 AIs put it here - 9
Ignazio Abate (Torino)
12th on 7 points, which the model calls fair (6.1 xPts). His first Serie A job draws scrutiny, but an xGA of 10.0 is the only real warning sign.
Included it: Claude, ChatGPT. Did not include: Meta, Gemini, DeepSeek, Wenxin.In their lists: Claude: see list · ChatGPT: see list
2 AIs put it here - 10
Massimiliano Allegri (Napoli)
Ninth on 10 points. Understat values Napoli's chances at 14.3 points, Statz at 12.0 and xgstat at exactly 10, so the models split. Bookmakers price his exit by Christmas at 5.00.
Included it: Claude, DeepSeek. Did not include: ChatGPT, Meta, Gemini, Wenxin.In their lists: Claude: see list · DeepSeek: 8
2 AIs put it here
02Worth knowing
What the AIs noticed while building the list.
The four left on 0, 1, 4 (Parma's Cuesta, by mutual consent) and 0 points. Bologna's Tedesco left a side whose chances were worth about twice its points.
Runjaić says Udinese created more than usual. Statz partly backs him (xG 7.3), but an xGA of 10.3 says the defence is the problem.
Spalletti (Juventus, 11 points) and Amorim (Milan, 12) are unbeaten, yet bookmakers price their exits by Christmas at 5.00 and 4.50: big-club pressure, not a statistical case.
On r/udinese, fans question Runjaić, though one commenter blames the players' mentality. It is a small, self-selected sample: mood, not a forecast.
03How we counted
In plain words, no formulas.
1The question
Top 10 Serie A Coaches on the Hot Seat, Ranked by Pressure Against the Case for Patience (2026-27)
2Why this topic
It puts the case for sacking and the case for patience side by side for each coach, and no single table or rumour column does that.
3Where it applies
Italian Serie A, 2026-27 season so far
4What we looked at
- Recent league results and table position (official points)
- Underlying performance: actual points against expected points from two independent xG models
- Public pressure signals: attributed local reporting, supporter discussion, the coach's own recent comments
- Context of this season's sackings: how deserved each dismissed coach's position was against those still in post
- Official Serie A table (Wikipedia, as of 17 Oct 2026) — Actual points, positions, goal difference and the season's managerial changes
- Xinhua Serie A table — Official points and positions after Saturday's round-7 games
- Statz — Team xG, xGA, xGD and expected points (xPts) from shot-level xG
- Understat — A second shot-quality model of xG and expected points per team
5Who ranked
The leading AIs, each building its own list of ten independently and naming a source for every place: Claude, ChatGPT, Meta, Gemini, DeepSeek, Wenxin.
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.
- 1Cagliari
13 points from 5.4 expected: the biggest overperformance in Serie A, 7.6 points above the model, with a Statz xGD of −5.4 against an actual +3.
Source ↗ - 2Lazio
Third in the table on 16 points, but the model sees 8.9 points. Their +7 goal difference sits on +0.6 xGD.
Source ↗ - 3Bologna
Statz's most unlucky side: 5 points from 10.4 expected, with a coach already replaced after matchday 4.
Source ↗ - 4Monza
Their xG (9.9) is higher than Lazio's, yet they sit on 4 points with a −6 goal difference.
Source ↗ - 5Fiorentina
The largest goal-difference gap in the league: −7 actual against +1.2 expected, a −8.2 swing.
Source ↗ - 6Frosinone
4th place with 13 points, but their xGA of 15.0 is among the worst in the league.
Source ↗ - 7Venezia
Bottom of the table with 3 points despite 11.2 xG, but they concede 15.1 xGA, so the case for a rebound is only half there.
Source ↗ - 8Genoa
Only 5 goals scored against 6.4 xG, and −8 goal difference against −2.8 expected.
Source ↗ - 9Atalanta
9 points against 5.7 expected, with an xGD of −4.6 but an actual 0.
Source ↗ - 10Udinese
4 points from 6.6 expected. Their problem is conceding (10.3 xGA), not scoring (9 goals from 7.3 xG).
Source ↗
What Claude noticed
The top and bottom of the gap table are 13 points apart. Cagliari are +7.6 and Fiorentina and Monza are −5.3, both at 4 points. The two groups sit about 9 points apart in the table.
Udinese and Lecce, who meet today, are both near the bottom of the table. Both also have two of the three worst xGD figures in the league (Udinese −3.1; Lecce −5.6, level with Parma). Neither side's table position is mainly bad luck.
Four coaches have been sacked in the first six rounds. Sky Sport reports this has not happened since 2000, and Bologna, whose coach was one of them, have the biggest xPts shortfall.
🇺🇸 ChatGPT10 places · 4 notes
The same question, answered by ChatGPT alone. The final list above combines all the AIs.
- 1Monza — Serie A 2026–27
Four actual points against 9.3 expected: a 5.3-point hole, with positive xGD suggesting the chances are better than the results.
Source ↗ - 2Fiorentina — Serie A 2026–27
Four points from chances worth 9.3 in Statz, while its xGD stays positive: the finish is the sharper concern.
Source ↗ - 3Bologna — Serie A 2026–27
Their xPts deficit is nearly five points across models, but the underlying goal difference remains positive.
Source ↗ - 4Venezia — Serie A 2026–27
Six goals from 11.1 xG is the clearest finishing shortfall, but the negative xGD warns that finishing is not the whole problem.
Source ↗ - 5Udinese — Serie A 2026–27
Four points from six matches against 5.9–6.6 xPts: a modest points miss paired with a distinctly poor −3.1 xGD.
Source ↗ - 6Parma — Serie A 2026–27
Four points against 5.1 xPts is a smaller shortfall, but just 4.7 xG hints at a real chance-creation problem.
Source ↗ - 7Atalanta — Serie A 2026–27
Nine points mask an xPts estimate of 5.3–5.7; the results have outrun a −4.6 xGD.
Source ↗ - 8Lazio — Serie A 2026–27
Sixteen points versus about nine expected is a seven-point overperformance, while xGD is only +0.6.
Source ↗ - 9Cagliari — Serie A 2026–27
Thirteen points sit far above expected, but the two feeds differ by two points on the size of that overperformance.
Source ↗ - 10Juventus — Serie A 2026–27
Eleven points against 11.9–12.6 expected is a smaller underperformance, with a strong +6.1 xGD making the underlying case encouraging.
Source ↗
What ChatGPT noticed
Monza and Fiorentina lead the Statz underperformance measure at −5.3 points each; Bologna follows at −4.8.
Cagliari’s 13 points are striking against 5.4 xPts in two feeds, but 11footy puts expected points at 6.7, showing model spread matters.
Venezia’s 5.1-goal finishing shortfall coexists with negative xGD, so the evidence supports both poor conversion and broader weakness.
Six matches are a thin sample; xPts is a model estimate of match outcomes from chance quality, not a verdict on fairness or coaching.
🇺🇸 Gemini10 places · 2 notes
The same question, answered by Gemini alone. The final list above combines all the AIs.
- 1Udinese Calcio
A staggering 4.4-point expected points deficit masks mid-table chance creation punished by recurring defensive blunders.
- 2US Lecce
A league-low 3 actual goals scored against 7.1 expected goals signals a dramatic finishing freeze rather than structural collapse.
- 3AC Monza
Winless on the pitch with only 4 points, Monza's underlying metrics generate 7.1 expected points from steady shot volumes.
Source ↗ - 4AS Roma
Sitting outside the top four despite registering the league's third-highest expected goal margin (+4.2 xGD).
Source ↗ - 5Genoa CFC
Conceding 7 actual goals from only 4.8 expected goals against, defensive variance has heavily suppressed their official tally.
Source ↗ - 6Venezia FC
Four points on the board reflect early relegation danger, yet shot quality models expect 6.5 points based on competitive home displays.
Source ↗ - 7Bologna FC 1909
A congested schedule produced five draws in six outings, trailing their 10.4 expected points benchmark by 2.4 points.
Source ↗ - 8Cagliari Calcio
Solid defensive containment generated 8.2 expected points, but netting just 5 goals leaves them lingering down on 6 actual points.
Source ↗ - 9Parma Calcio 1913
High-octane transitions yield an even expected goal difference, but costly late concessions cost them 2 expected points.
Source ↗ - 10Como 1907
Overperforming their modest 6.2 xPTS by 1.8 points thanks to clinical finishing from high-profile summer recruits.
Source ↗
What Gemini noticed
US Lecce has scored only 3 actual goals from 7.1 expected goals (xGF), representing Italy's most extreme early-season finishing drought despite creating quality openings in five of their six fixtures.
AS Roma holds the third-strongest underlying goal differential (+4.2 xGD) across Serie A, indicating that four draws in six matches represent short-term variance rather than structural offensive dysfunction.
🇨🇳 DeepSeek10 places · 3 notes
The same question, answered by DeepSeek alone. The final list above combines all the AIs.
- 1Cagliari 2026-27 expected-points overperformance
13 points from 6.03 xPTS: the widest overperformance in the league, and both models see it.
Source ↗ - 2Lazio 2026-27 expected-points overperformance
16 points from 10.03 xPTS — and Opta's model is even harsher at 6.
Source ↗ - 3Frosinone 2026-27 expected-points overperformance
13 points from 7.42 xPTS: the promoted side is banked above its chance quality.
Source ↗ - 4Monza 2026-27 expected-points underperformance
4 points from 9.44 xPTS: the clearest 'chances good, finishing poor' case in Serie A.
Source ↗ - 5Bologna 2026-27 expected-points underperformance
5 points from 10.41 xPTS: the table says crisis, the chances say top-half.
Source ↗ - 6Atalanta 2026-27 expected-points overperformance
9 points from 4.24 xPTS, with a -6.63 xGD: results are running far ahead of the chances.
Source ↗ - 7Venezia 2026-27 expected-points underperformance
3 points from 7.02 xPTS: even after the first win, the gap says the table is harsh.
Source ↗ - 8Napoli 2026-27 expected-points underperformance
10 points from 14.28 xPTS, but xgstat has Napoli level — the models split.
Source ↗ - 9Juventus 2026-27 expected-points underperformance
11 points from 14.65 xPTS with only 2.92 xGA: a title-level defence stuck behind a finishing problem.
Source ↗ - 10Lecce 2026-27 expected-points overperformance
6 points from 2.92 xPTS and the league's worst xGD: the results are flattering a deep chance-creation problem.
Source ↗
What DeepSeek noticed
Cagliari's 13 points are nearly seven above their 6.03 xPTS — the largest overperformance in the league — and goalkeeper Elia Caprile has saved about 4.12 goals above xGA, which helps explain the gap.
Juventus are the biggest underperformer by xPTS (11 vs 14.65) despite conceding only 2.92 xGA; the problem is finishing, not chance prevention.
Venezia had 0 points from 5.48 xPTS before beating Napoli; Davide Nicola's first match turned the shot-quality story into the first win of the season.