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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UEFA Europa League · League Stage - 3 Oct 22, 2026 · 19:00 · UTC Doosan Arena, Pilsner Not Started

Plzen
vs
Levski Sofia.

Quick answer

Who will win Plzen vs Levski Sofia?

10 of 10 AI models pick Plzen to win (100%). The mean predicted score is 2–0 at 54% average confidence (medium).

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

Head-to-head history → Plzen form Levski Sofia 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 Plzen (10 of 10 models). The mean predicted score (rounded from all models) is 2–0 at 54% 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 Plzen and Levski Sofia stand right now
— Consensus

Where the panel lands.

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

Plzen win 100%

10 / 10 models

Draw 0%

0 / 10 models

Levski Sofia 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
Plzen win
1–0
55%
Plzen's home advantage at Doosan Arena supports a narrow result, while the lack of form and head-to-head data favors a cautious, low-scoring estimate against Levski Sofia.
02
Claude Sonnet 5
Plzen win
2–0
53%
Plzen's European pedigree and home strength at Doosan Arena outweigh Levski's Bulgarian-league quality; expect a controlled home performance with clean sheet.
03
Gemini 3.8 Flash
Plzen win
2–0
62%
Viktoria Plzen boast significant European pedigree and defensive solidity at Doosan Arena, whereas Levski Sofia frequently struggle to generate high-quality chances away against experienced continental opposition.
04
Grok 4.6
Plzen win
2–0
51%
Thin data and no H2H; Plzen’s European pedigree plus Doosan Arena home edge favours a controlled home win rather than a draw or Levski upset.
05
DeepSeek V4 Pro
Plzen win
1–0
48%
Plzen's Doosan Arena edge and European experience favor a controlled home performance; Levski likely sit deep, keeping it tight.
06
Qwen 3.8 Max
Plzen win
2–0
55%
Plzen clearly stronger than Levski Sofia in European context; home advantage at Doosan Arena supports a controlled win against a defensively oriented Bulgarian side.
07
Mistral Medium 3.5
Plzen win
1–0
62%
Plzen at home in Europa League, stronger recent European form; Levski Sofia solid but likely to concede on counter.
08
Kimi K3
Plzen win
2–0
58%
Plzen's home advantage at Doosan Arena and superior European experience should see them control the game; Levski Sofia likely to struggle away from home in this League Stage fixture.
09
GLM 5.3
Plzen win
2–1
52%
Plzen are strong at Doosan Arena in Europe with an intense pressing style; Levski can threaten on counters, but home edge and deeper European experience tip a narrow home win.
10
MiMo V2.6 Pro
Plzen win
2–1
48%
Plzen's home edge and Levski's poor scoring (1 goal in 2 UEL games) favour a narrow home win, though Plzen's own 1W 3L form and defensive leaks keep confidence modest.
— 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
  • 1–0
    3 models
  • 2–1
    2 models

Bookmakers vs the AI panel

Bet365 · 1.75 / 3.80 / 4.50
Plzen Market 54% · AI 100%
Draw Market 25% · AI 0%
Levski Sofia Market 21% · AI 0%

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

Season data

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

Plzen

4-4-1-1
W-D-L
1-0-3
Goals
6-9
Clean sheets
0
Failed to score
2
Best win run
1
Penalties
2/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Levski Sofia

4-2-3-1
W-D-L
0-1-1
Goals
1-2
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'

Top scorers · UEFA Europa League

  1. 1 L. Diony Omonia Nicosia 4
  2. 2 A. Cissè AC Milan 3
  3. 3 K. Zachariassen Ferencvarosi TC 3
  4. 4 Oh Hyeon-Gyu Beşiktaş 2
  5. 5 M. van Buren Hradec Králové 2
Venue Doosan Arena, Pilsner
Referee Alejandro Hernandez
New at Plzen T. Pališčák (Žilina), D. Vavro (VfL Wolfsburg), A. Gabriel (FC Midtjylland)
New at Levski Sofia P. Hristov (Spezia), Hevertton Santos (QPR), David Kusso (Chaves)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Plzen

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

02
Medium confidence

Mean 54% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.70 vs 0.20

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.

Plzen
#31 · 0 PTS · GD -4
Last 5
W L W L L
8 GF · 9 GA
Recent fixtures
  • FK Jablonec 2-3 W
  • Ferencvarosi TC 2-1 L
  • Mlada Boleslav 3-0 W
  • Slavia Praha 2-1 L
  • Union St. Gilloise 0-3 L
Team news
P. Adu — Coach's decision V. Jemelka — Knee Injury J. Paluska — Coach's decision M. Tvrdon — Off the roster A. Sojka — Health problems
Levski Sofia
#24 · 1 PTS · GD -1
Last 5
W D W L D
5 GF · 2 GA
Recent fixtures
  • Spartak Pleven 0-2 W
  • NEC Nijmegen 1-1 D
  • Cherno More Varna 0-2 W
  • Red Bull Salzburg 0-1 L
  • Botev Vratsa 0-0 D
Team news
P. Hristov — Off the roster O. Kamdem — Off the roster R. Kirilov — Knee Injury A. Mitkov — Injury M. Sangare — Off the roster G. Trdin — Injury

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 Plzen, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — 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.

Plzen
~100%
implied lean
Draw
~0%
implied lean
Levski Sofia
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.90 goals in expectation. A notional totals line near 2.2 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 Plzen 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 1.90 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: Plzen 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 Plzen vs Levski Sofia 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 (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 Plzen win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Plzen vs Levski Sofia, 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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