AL- 1-0 AL- · 44% KAI 1-2 PAN · 54% AL- 1-1 ALS · 45% JUV 1-0 REN · 56% ARA 0-2 AZA · 57% DIN 1-0 NEC · 54% FER 2-0 TOR · 59% LEC 1-1 SUN · 46% OFI 0-2 BAY · 61% UNI 1-0 HAP · 54% STU 1-2 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53% AL- 1-0 AL- · 44% KAI 1-2 PAN · 54% AL- 1-1 ALS · 45% JUV 1-0 REN · 56% ARA 0-2 AZA · 57% DIN 1-0 NEC · 54% FER 2-0 TOR · 59% LEC 1-1 SUN · 46% OFI 0-2 BAY · 61% UNI 1-0 HAP · 54% STU 1-2 MAR · 48% FKC 1-2 FCC · 56% GET 1-2 FCL · 50% FCI 0-1 MJA · 53%
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← Fixtures UEFA Europa Conference League hub →
UEFA Europa Conference League · League Stage - 2 Oct 22, 2026 · 19:00 · UTC Stockhorn Arena, Thun Not Started

FC Thun
vs
HNK Hajduk Split.

Quick answer

Who will win FC Thun vs HNK Hajduk Split?

10 of 10 AI models pick HNK Hajduk Split to win (100%). The mean predicted score is 0–2 at 60% average confidence (medium).

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

Head-to-head history → FC Thun form HNK Hajduk Split form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (556 matches).

10 AI models read this match. The plurality on 1X2 leans toward HNK Hajduk Split (10 of 10 models). The mean predicted score (rounded from all models) is 0–2 at 60% 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 FC Thun and HNK Hajduk Split stand right now
— Consensus

Where the panel lands.

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

FC Thun win 0%

0 / 10 models

Draw 0%

0 / 10 models

HNK Hajduk Split win 100%

10 / 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
HNK Hajduk Split win
0–2
72%
Thun have lost their only league-stage match without scoring, while Hajduk are unbeaten at 4W-1D with 16 goals across the competition. Hajduk’s stronger attacking form outweighs Thun’s Stockhorn Arena advantage.
02
Claude Sonnet 5
HNK Hajduk Split win
1–2
60%
Hajduk in strong form (WWDWW, 16 goals scored) vs Thun's winless, scoreless struggles; Thun likely gets a consolation goal at home.
03
Gemini 3.8 Flash
HNK Hajduk Split win
1–2
56%
Hajduk Split have shown sharp European scoring form (16 goals in 5 games). Thun's home advantage should keep it competitive, but the visitors possess greater attacking quality.
04
Grok 4.6
HNK Hajduk Split win
0–2
48%
Hajduk’s ECL form (4W1D, 16 goals) dwarfs Thun’s 0-1 start and winless run; away quality should control a low home attack at Stockhorn Arena.
05
DeepSeek V4 Pro
HNK Hajduk Split win
0–2
68%
Hajduk are unbeaten in five with 16 goals scored, while Thun have lost their only match and failed to score. Clear form gap points to an away win, likely with Thun blanking again.
06
Qwen 3.8 Max
HNK Hajduk Split win
0–2
48%
Hajduk Split's dominant Conference League form (16 goals in 5 games, unbeaten) contrasts sharply with Thun's goalless record and poor run; away win with a clean sheet is well supported.
07
Mistral Medium 3.5
HNK Hajduk Split win
0–2
72%
Hajduk Split undefeated with 16-7 goals in UEL; Thun scoreless and winless in UEL this season.
08
Kimi K3
HNK Hajduk Split win
0–2
58%
Hajduk in dominant form (4W 1D, 16 goals) while Thun lost their opener 0-1 and failed to score; Croatian side's quality should secure a controlled away win.
09
GLM 5.3
HNK Hajduk Split win
1–2
55%
Hajduk arrive unbeaten (WWDWW, 16 goals in five) with Šotiček creating, while Thun lost their opener and failed to score; home venue keeps this modest rather than a rout.
10
MiMo V2.6 Pro
HNK Hajduk Split win
0–2
58%
Hajduk are unbeaten in five Conference League games with 16 goals, while Thun lost 0-1 and failed to score; Stockhorn Arena narrows it, but the away side's attack and depth should decide it.
— Scoreline frequency

How often each scoreline showed up.

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

  • 0–2
    7 models
  • 1–2
    3 models

Bookmakers vs the AI panel

Bet365 · 2.88 / 3.40 / 2.35
FC Thun Market 33% · AI 0%
Draw Market 27% · AI 0%
HNK Hajduk Split Market 40% · AI 100%

Grey: bookmaker prices as probabilities, margin removed. Lime: share of the 10 AI models picking each result.

Team news

Predicted lineups: FC Thun vs HNK Hajduk Split

Each side's last starting XI, with players ruled out of this match marked. The confirmed lineups replace this about an hour before kickoff.

FC Thun

· XI v FC Schaffhausen, 18 Oct
Luca Privitelli Gian
  1. 25 T. Spycher
  2. 37 L. Dahler
  3. 54 L. Passavant
  4. 5 N. Burgy
  5. 18 T. Strannegard
  6. 16 J. Roth
  7. 13 N. Zoukit
  8. 70 N. Reichmuth
  9. 15 P. Kristal
  10. 80 S. Lengen
  11. 26 N. Christoffersson

HNK Hajduk Split

4-2-3-1 · XI v NK Varazdin, 18 Oct
Gonzalo García
10 M. Livaja
10 Livaja
23 M. Šotiček
23 Šotiček
9 Dali
9 Dali
16 A. Sutalo
16 Sutalo
20 Alberto del Moral
20 Moral
8 K. Fayad
8 Fayad
17 D. Melnjak
17 Melnjak
15 D. Marešić
15 Marešić
6 D. Hadžikadunić
6 Hadžikadunić
22 M. Acapandié
22 Acapandié
33 T. Silić
33 Silić

Season data

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

FC Thun

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

HNK Hajduk Split

4-2-3-1
W-D-L
4-1-0
Goals
16-7
Clean sheets
1
Failed to score
0
Best win run
2
Penalties
1/2
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · FC Thun

  • No player in the competition's top scorers or assisters.

Key players · HNK Hajduk Split

  • M. Šotiček 1 G · 2 A · 5 apps

Top scorers · UEFA Europa Conference League

  1. 1 Winsley Boteli Mokango FC Sion 7
  2. 2 K. Behrens FC Lugano 6
  3. 3 A. Cornelius FC Copenhagen 5
  4. 4 D. Klaassen Ajax 5
  5. 5 Robert FC Copenhagen 4
Venue Stockhorn Arena, Thun
Referee J. Gillett
New at FC Thun P. Kristal (Köln II), N. Christoffersson (Orgryte IS), O. Mambwa (BSC Young Boys)
New at HNK Hajduk Split Carlos Martín (Atletico Madrid), K. Fayad (Montpellier), D. Hadžikadunić (FC Rostov)
— Aggregated insights

What’s moving the panel.

01
Consensus favors HNK Hajduk Split

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

02
Medium confidence

Mean 60% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.30 vs 2.00

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.

FC Thun
#30 · 0 PTS · GD -1
Last 5
D L L W W
8 GF · 8 GA
Recent fixtures
  • FC Schaffhausen 2-2 D
  • Twente 1-0 L
  • FC Zurich 4-2 L
  • SC Kriens 2-0 W
  • FC Vaduz 1-2 W
Team news

No major injury updates in the current API snapshot.

HNK Hajduk Split
#10 · 3 PTS · GD +1
Last 5
W W W L W
6 GF · 5 GA
Recent fixtures
  • NK Varazdin 1-0 W
  • Ajax 2-1 W
  • Dinamo Zagreb 2-1 W
  • HNK Rijeka 3-0 L
  • NK Slaven Belupo 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 0% of models side with FC Thun, 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.

FC Thun
~0%
implied lean
Draw
~0%
implied lean
HNK Hajduk Split
~100%
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 FC Thun 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: HNK Hajduk Split 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 FC Thun vs HNK Hajduk Split 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 (0 - 2; 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 HNK Hajduk Split win, with vote shares roughly 0% / 0% / 100% home, draw, and away (rounded).

If you are asking who will win FC Thun vs HNK Hajduk Split, 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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