ABH 0-2 AL- · 64% ALD 0-1 NEO · 49% KON 1-2 GAL · 54% LEH 0-2 PAR · 64% NIC 1-2 REN · 50% BOD 1-2 VIK · 46% LYN 1-1 RAN · 41% ALS 1-2 AL- · 56% SVE 1-2 FSV · 46% ZUL 0-2 CLU · 62% VIL 2-1 ESP · 56% SHE 2-1 WRE · 48% LIL 2-1 LEN · 50% CAS 0-2 SPO · 66% ABH 0-2 AL- · 64% ALD 0-1 NEO · 49% KON 1-2 GAL · 54% LEH 0-2 PAR · 64% NIC 1-2 REN · 50% BOD 1-2 VIK · 46% LYN 1-1 RAN · 41% ALS 1-2 AL- · 56% SVE 1-2 FSV · 46% ZUL 0-2 CLU · 62% VIL 2-1 ESP · 56% SHE 2-1 WRE · 48% LIL 2-1 LEN · 50% CAS 0-2 SPO · 66%
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UEFA Europa Conference League · League Stage - 3 Nov 5, 2026 · 17:45 · UTC New Balance Arena, Bergamo Not Started

Atalanta
vs
Kairat Almaty.

Quick answer

Who will win Atalanta vs Kairat Almaty?

10 of 10 AI models pick Atalanta to win (100%). The mean predicted score is 2–0 at 65% average confidence (medium).

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → Atalanta form Kairat Almaty form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (751 matches).

10 AI models read this match. The plurality on 1X2 leans toward Atalanta (10 of 10 models). The mean predicted score (rounded from all models) is 2–0 at 65% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

UEFA Europa Conference League table Where Atalanta and Kairat Almaty stand right now
— Consensus

Where the panel lands.

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

Atalanta win 100%

10 / 10 models

Draw 0%

0 / 10 models

Kairat Almaty win 0%

0 / 10 models

— 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
Atalanta win
1–0
68%
Atalanta's stronger European record, two clean sheets, and home venue favor a controlled win. Their two failures to score and Kairat's persistent scoring suggest a narrow, low-scoring match rather than a comfortable victory.
02
Claude Sonnet 5
Atalanta win
3–0
66%
Atalanta at home with clear quality gap; Kairat has conceded 6 and failed to keep a clean sheet, struggling defensively away from home.
03
Gemini 3.8 Flash
Atalanta win
3–0
78%
Atalanta hold massive quality and home advantage in Bergamo against Kairat, who have conceded six goals in two European fixtures and lack the defensive solidity to hold off Serie A opposition.
04
Grok 4.6
Atalanta win
2–0
58%
Atalanta are a clear class above at Bergamo; UECL scoring is modest (4 in 4) with two clean sheets, while Kairat have conceded freely and lack away quality.
05
DeepSeek V4 Pro
Atalanta win
2–0
61%
Atalanta's home venue, two clean sheets and stronger Conference League form contrast with Kairat's 0 wins, 6 goals conceded and 0 clean sheets; a controlled 2-0 fits the gap.
06
Qwen 3.8 Max
Atalanta win
2–0
60%
Atalanta's home strength and two clean sheets in this competition face Kairat's leaky defense (6 conceded in 2 games). Quality gap supports a comfortable home win with a clean sheet.
07
Mistral Medium 3.5
Atalanta win
2–1
62%
Atalanta's strong home form and defensive solidity (2 clean sheets) edge Kairat's leaky defense (6 conceded).
08
Kimi K3
Atalanta win
2–0
62%
Atalanta's superior European pedigree and home advantage at New Balance Arena should overwhelm Kairat's leaky defense (6 goals conceded in 2 games). Expect controlled home win with clean sheet against limited Kazakh attack.
09
GLM 5.3
Atalanta win
3–0
72%
Clear mismatch: Atalanta's attacking depth at home in Bergamo against a Kairat side with 0 wins, 0 clean sheets and 6 goals conceded in Europe. Comfortable home win with a clean sheet.
10
MiMo V2.6 Pro
Atalanta win
2–0
58%
Atalanta's Bergamo base and two clean sheets contrast Kairat's six goals conceded in two; the visitors' scoring threat is real but their defence looks exposed.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 2–0. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 2–0
    5 models
  • 3–0
    3 models
  • 1–0
    1 model
  • 2–1
    1 model

Season data

UEFA Europa Conference League numbers for both sides, when they score and the players who carry them.

Atalanta

4-3-3
W-D-L
2-1-1
Goals
4-3
Clean sheets
2
Failed to score
2
Best win run
2
Penalties
1/1
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Kairat Almaty

4-2-3-1
W-D-L
0-1-1
Goals
2-6
Clean sheets
0
Failed to score
0
Best win run
0
Penalties
1/1
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Top scorers · UEFA Europa Conference League

  1. 1 K. Behrens FC Lugano 7
  2. 2 Winsley Boteli Mokango FC Sion 7
  3. 3 C. Dessers Panathinaikos 6
  4. 4 A. Cornelius FC Copenhagen 5
  5. 5 D. Klaassen Ajax 5
Venue New Balance Arena, Bergamo
New at Atalanta J. Rowe (Bologna), T. Pompei (Cosenza), F. Kessié (Al-Ahli Jeddah)
New at Kairat Almaty G. Mendonsa (AVS), M. Birkurmanov (Zhetysu), Marc Gual (Rio Ave)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Atalanta

100% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 65% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.20 vs 0.10

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.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Ask with match data Ask without data (free)
— Match context

Form, history, team news.

Atalanta
#4 · 3 PTS · GD +2
Last 5
D D L L W
11 GF · 12 GA
Recent fixtures
  • Fiorentina 2-2 D
  • Frosinone 4-4 D
  • Ajax 2-0 L
  • AC Milan 3-2 L
  • Pafos 3-1 W
Team news
H. Ahanor — Muscle Injury T. Kristensen — Ankle Injury K. Sulemana — Jumpers Knee I. Hien — Muscle Bruise G. Gaetano — Red Card O. Kossounou — Thigh Injury E. Elmas — Red Card F. Kessie — Calf Injury G. Raspadori — Thigh Injury G. Scalvini — Thigh Injury S. Kolasinac — Thigh Injury R. Bellanova — Thigh Injury
Kairat Almaty
#18 · 1 PTS · GD 0
Last 5
D L W D W
10 GF · 8 GA
Recent fixtures
  • Aktobe 2-2 D
  • Panathinaikos 1-5 L
  • Irtysh 5-0 W
  • Riga 1-1 D
  • Zhetysu 1-0 W
Team news

No major injury updates in the current API snapshot.

Confidence trend

Cumulative average confidence in table order.

First model Last model

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 100% of models side with Atalanta, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight UEFA Europa Conference League 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
~100%
implied lean
Draw
~0%
implied lean
Kairat Almaty
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.30 goals in expectation. A notional totals line near 2.6 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 2.30 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.

Match overview

Looking for a today prediction on Atalanta vs Kairat Almaty in UEFA Europa Conference League? 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 - 0; 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 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Atalanta vs Kairat Almaty, 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.

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Ask multiple AIs about this match.

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