UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
Serie A · Regular Season - 3 Aug 31, 2026 · 18:45 · UTC New Balance Arena, Bergamo Match Finished · 90'

Atalanta
vs
Bologna.

10 AI models read this match. The plurality on 1X2 leans toward Atalanta (8 of 10 models). The mean predicted score (rounded from all models) is 2–1 at 58% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Atalanta win 80%

8 / 10 models

Draw 20%

2 / 10 models

Bologna win 0%

0 / 10 models

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— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Draw
1–1
62%
Recent head-to-heads show balanced results; both teams have shown defensive resilience and moderate attacking form.
02
Claude Sonnet 5
Atalanta win
2–1
55%
Atalanta's home strength at Bergamo and recent H2H dominance suggest an edge, though Bologna's organized defense keeps it close.
03
Gemini 3.8 Flash
Atalanta win
2–1
58%
Atalanta's strong home advantage and attacking style should edge a tight contest, despite Bologna's recent competitive H2H record and ability to frustrate top teams.
04
Grok 4.6
Atalanta win
2–1
47%
Atalanta's home record at Bergamo and mixed H2H lean toward narrow win; Bologna away form often concedes one.
05
DeepSeek V4 Pro
Atalanta win
2–1
60%
Atalanta's home strength and recent H2H wins suggest narrow victory, but Bologna's recent away win adds competitiveness.
06
Qwen 3.8 Max
Atalanta win
2–1
60%
Atalanta's home advantage and recent history of narrow wins support a home win. Bologna's form suggests they can score but not hold a lead.
07
Mistral Medium 3.5
Atalanta win
2–1
62%
Atalanta’s home form and recent H2H dominance suggest narrow win; Bologna’s away resilience keeps it close.
08
Llama 3.1 70B Instruct
Atalanta win
2–1
62%
Atalanta's stronger recent form and home venue advantage give them a slight edge, while Bologna's past wins at New Balance Arena suggest they can still score.
09
Cohere Command R+ (08-2024)
Atalanta win
1–0
60%
Atalanta's home advantage and recent form give them the edge, with a tight defense likely to keep a clean sheet.
10
MiMo V2.5 Pro
Draw
1–1
55%
Early season; H2H shows mixed results with recent tight games. Venue advantage balanced by Bologna's away resilience in past meetings.
— Scoreline frequency

How often each scoreline showed up.

7 of 10 models settled on 2–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 2–1
    7 models
  • 1–1
    2 models
  • 1–0
    1 model

Match overview

Looking for a today prediction on Atalanta vs Bologna in Serie A? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (2 - 1; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is Atalanta win, with vote shares roughly 80% / 20% / 0% home, draw, and away (rounded).

If you are asking who will win Atalanta vs Bologna, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Atalanta

80% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 58% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.70 vs 0.90

Derived from predicted scorelines (model means), not live match data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Confidence trend

Cumulative average confidence in table order.

First model Last model
Result check

Actual Atalanta win · AI Atalanta win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Atalanta
Last 5
0 GF · 0 GA
Recent fixtures
  • No recent fixtures in the current window.
Team news

No major injury updates in the current API snapshot.

Bologna
Last 5
0 GF · 0 GA
Recent fixtures
  • No recent fixtures in the current window.
Team news

No major injury updates in the current API snapshot.

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 80% of models side with Atalanta, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 20% — tight Serie A games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Atalanta
~80%
implied lean
Draw
~20%
implied lean
Bologna
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.60 goals in expectation. A notional totals line near 2.9 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Atalanta is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 2.60 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: Atalanta win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Explore more

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

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