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 League · League Stage - 4 Nov 5, 2026 · 17:45 · UTC National Stadium Vasil Levski, Sofia Not Started

Levski Sofia
vs
Jagiellonia.

Quick answer

Who will win Levski Sofia vs Jagiellonia?

8 of 10 AI models pick Jagiellonia to win (80%). The mean predicted score is 1–2 at 49% average confidence (medium).

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

Head-to-head history → Levski Sofia form Jagiellonia form

10 AI models read this match. The plurality on 1X2 leans toward Jagiellonia (8 of 10 models). The mean predicted score (rounded from all models) is 1–2 at 49% 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 League table Where Levski Sofia and Jagiellonia stand right now
— Consensus

Where the panel lands.

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

Levski Sofia win 0%

0 / 10 models

Draw 20%

2 / 10 models

Jagiellonia win 80%

8 / 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
Jagiellonia win
1–2
55%
Jagiellonia have the stronger Europa League record and greater attacking output at 13 goals in seven matches, while Levski’s home venue offers balance but not enough to overcome the visitors’ form.
02
Claude Sonnet 5
Jagiellonia win
1–2
48%
Jagiellonia show stronger European form (4W1D2L, 13-9) and better scoring output than Levski, who lack clean sheets and attacking consistency at home.
03
Gemini 3.8 Flash
Draw
1–1
48%
Levski Sofia are solid at home but struggle for clean sheets, while Jagiellonia's attacking form balances out their defensive vulnerabilities in an evenly matched encounter.
04
Grok 4.6
Jagiellonia win
1–2
48%
Jagiellonia’s stronger UEL form (4W, 13 goals) beats Levski’s 3-3 home record; Levski rarely score late, so a narrow away win fits.
05
DeepSeek V4 Pro
Jagiellonia win
1–2
48%
Jagiellonia's stronger Europa League form (4W) and 13 goals scored outweigh Levski's home edge; Levski's zero clean sheets suggest they concede, but their attack can net once.
06
Qwen 3.8 Max
Draw
1–1
32%
Jagiellonia's superior UEL attack (13 goals) meets Levski's home resilience; both concede regularly, suggesting a tight, low-scoring stalemate in Sofia.
07
Mistral Medium 3.5
Jagiellonia win
1–2
62%
Jagiellonia's strong Europa form (13-9 goals) and recent wins outweigh Levski's mixed record; home edge limited by inconsistent finishing.
08
Kimi K3
Jagiellonia win
1–2
52%
Jagiellonia's 13 goals in 7 European games show superior attacking form versus Levski's modest 3 in 3; home advantage at Vasil Levski should keep it close, but the Polish side's momentum and scoring depth edge a narrow away win.
09
GLM 5.3
Jagiellonia win
1–2
52%
Jagiellonia's stronger European form (4W, 13 goals) outweighs Levski's home venue; Levski have conceded in every game, so a narrow away win fits.
10
MiMo V2.6 Pro
Jagiellonia win
1–2
48%
Jagiellonia's 4W-1D-2L with 13 goals shows stronger European form than Levski's 1W-1D-1L; Levski's home edge is offset by no clean sheets and a modest attack.
— Scoreline frequency

How often each scoreline showed up.

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

  • 1–2
    8 models
  • 1–1
    2 models

Season data

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

Levski Sofia

4-2-3-1
W-D-L
1-1-1
Goals
3-3
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'

Jagiellonia

4-3-3
W-D-L
4-1-2
Goals
13-9
Clean sheets
1
Failed to score
1
Best win run
2
Penalties
2/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Levski Sofia

  • Reinaldo 2 G · 1 A · 3 apps

Key players · Jagiellonia

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

Top scorers · UEFA Europa League

  1. 1 L. Diony Omonia Nicosia 4
  2. 2 A. Cissè AC Milan 3
  3. 3 Yeremy Pino Crystal Palace 3
  4. 4 Sergio Gómez Real Sociedad 3
  5. 5 K. Zachariassen Ferencvarosi TC 3
Venue National Stadium Vasil Levski, Sofia
New at Levski Sofia P. Hristov (Spezia), Hevertton Santos (QPR), David Kusso (Chaves)
New at Jagiellonia B. Wdowik (SC Braga), A. Ćirković (Ferencvarosi TC), H. Finndell (Djurgardens IF)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Jagiellonia

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

02
Medium confidence

Mean 49% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.00 vs 1.80

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.

Levski Sofia
#24 · 1 PTS · GD -1
Last 5
D W W D W
8 GF · 3 GA
Recent fixtures
  • Arda Kardzhali 1-1 D
  • Plzen 1-2 W
  • Spartak Pleven 0-2 W
  • NEC Nijmegen 1-1 D
  • Cherno More Varna 0-2 W
Team news
A. Bouras — Muscle Injury O. Kamdem — Knee Injury R. Kirilov — Knee Injury M. Moubarik — Injury M. Sangare — Off the roster N. Serafimov — Elbow Injury P. Hristov — Off the roster A. Mitkov — Injury G. Trdin — Injury
Jagiellonia
#17 · 3 PTS · GD +1
Last 5
W W L L W
10 GF · 5 GA
Recent fixtures
  • Lechia Gdansk 0-6 W
  • Wisla Plock 1-0 W
  • Anderlecht 0-3 L
  • Zaglebie Lubin 1-0 L
  • Ararat-Armenia 3-1 W
Team news
D. Drachal — Off the roster Y. Kobayashi — Injury C. Polak — Off the roster D. Rallis — Off the roster O. Sow — Injury Z. Zalewski — Off the roster N. Prelec — Inactive N. Wojtuszek — Inactive

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 Levski Sofia, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 20% — tight UEFA Europa 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.

Levski Sofia
~0%
implied lean
Draw
~20%
implied lean
Jagiellonia
~80%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.80 goals in expectation. A notional totals line near 3.1 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 Levski Sofia 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 2.80 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: Jagiellonia 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 Levski Sofia vs Jagiellonia in UEFA Europa 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 (1 - 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 Jagiellonia win, with vote shares roughly 0% / 20% / 80% home, draw, and away (rounded).

If you are asking who will win Levski Sofia vs Jagiellonia, 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.

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

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