Predictions / Football / World. UEFA Europa League / Plzen vs FK Crvena Zvezda

Prediction Audit: Plzen vs FK Crvena Zvezda Prediction, Odds & AI Betting Tips

Plzen Plzen
Aug 27, 2026 - 17:00
5 1.05
1 1.12
xG Accuracy: 43%
FK Crvena Zvezda FK Crvena Zvezda

The model missed the final outcome (Plzen win 5–1).

The model had projected FK Crvena Zvezda at 35.4%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 FK Crvena Zvezda Plzen ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 5-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Plzen higher than the statistical model.

Largest probability gap: Plzen -13.9 pp

Outcome Model Closing Market Difference Signal
Plzen 31.8% 45.8% -13.9 pp Market Higher
Draw 32.8% 25.0% +7.9 pp Model Higher
FK Crvena Zvezda 35.4% 29.3% +6.1 pp Model Higher

The closing market estimates Plzen's win probability at 45.8%, compared with the model's estimate of 31.8%, a difference of 13.9 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Plzen win 5–1.

Market Assessment

The market is materially more optimistic about Plzen than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)

Market lesson

The closing market differed from the model on FK Crvena Zvezda by 13.9 percentage points (49.3% vs model 35.4%) — in this case the market view proved closer.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 27, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Plzen 31.9% · Draw 32.8% · FK Crvena Zvezda 35.4%
    • xG · Plzen 1.05 — FK Crvena Zvezda 1.12
  2. Aug 27, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Plzen 2.08 · Draw 3.81 · FK Crvena Zvezda 3.25
    • Implied 1X2 · Plzen 45.8% · Draw 25.0% · FK Crvena Zvezda 29.3%
    • Bookmaker · Pinnacle
  3. Aug 27, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Plzen 2.08 · Draw 3.81 · FK Crvena Zvezda 3.25
    • Implied 1X2 · Plzen 45.8% · Draw 25.0% · FK Crvena Zvezda 29.3%
    • Bookmaker · Pinnacle
  4. Aug 27, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Plzen win · 5–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 10/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 21, 2026 · 02:23 UTC Snapshot ID: dp-4777837

Closing Odds 2.08
AI Fair Odds —
CLV Pending
Final Result Plzen win · Plzen 5–1 FK Crvena Zvezda
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: UEFA Europa League
  • Fixture: Plzen vs FK Crvena Zvezda
  • Kickoff: 2026-08-27 17:00:00
  • 1X2 (model): Home 31.9% · Draw 32.8% · Away 35.4%
  • xG (showing): Plzen 1.05 — FK Crvena Zvezda 1.12 (total xG ≈ 2.17)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 63.1% · Over 2.5 36.9%); BTTS No (Yes 45.5% · No 54.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 45.5% · No 54.5%
  • Correct score (top bin): 1-1 (13.4%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

October 01, 2026 (UTC)

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UEFA Europa League UEFA Europa League — Standings
# TEAM MP W D L PTS
1 Juventus 1 1 0 0 3
2 Crystal Palace 1 1 0 0 3
3 Sparta Praha 1 1 0 0 3
4 Besiktas 1 1 0 0 3
5 Union St. Gilloise 1 1 0 0 3
6 Ferencvarosi TC 1 1 0 0 3
7 Benfica 1 1 0 0 3
8 Bayer Leverkusen 1 1 0 0 3
9 OFI 1 1 0 0 3
10 Bournemouth 1 1 0 0 3
11 Lyon 1 1 0 0 3
12 Torreense 1 1 0 0 3
13 Olympiakos Piraeus 1 1 0 0 3
14 Red Bull Salzburg 1 1 0 0 3
15 Sunderland 1 1 0 0 3
16 Omonia Nicosia 1 1 0 0 3
17 Sturm Graz 1 0 1 0 1
18 Rennes 1 0 1 0 1
19 Dinamo Zagreb 1 0 1 0 1
20 Hapoel Beer Sheva 1 0 1 0 1
21 Jagiellonia 1 0 0 1 0
22 Real Sociedad 1 0 0 1 0
23 Anderlecht 1 0 0 1 0
24 Lillestrom 1 0 0 1 0
25 Celta Vigo 1 0 0 1 0
26 AZ Alkmaar 1 0 0 1 0
27 Levski Sofia 1 0 0 1 0
28 Celtic 1 0 0 1 0
29 1899 Hoffenheim 1 0 0 1 0
30 AC Milan 1 0 0 1 0
31 Celje 1 0 0 1 0
32 Marseille 1 0 0 1 0
33 Ararat-Armenia 1 0 0 1 0
34 Plzen 1 0 0 1 0
35 Lech Poznan 1 0 0 1 0
36 NEC Nijmegen 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 Juventus 1 5 0 +5 3
2 Crystal Palace 1 4 0 +4 3
3 Sparta Praha 1 4 1 +3 3
4 Besiktas 1 4 1 +3 3
5 Union St. Gilloise 1 3 0 +3 3
6 Ferencvarosi TC 1 3 1 +2 3
7 Benfica 1 2 0 +2 3
8 Bayer Leverkusen 1 2 0 +2 3
9 OFI 1 2 0 +2 3
10 Bournemouth 1 2 1 +1 3
11 Lyon 1 2 1 +1 3
12 Torreense 1 2 1 +1 3
13 Olympiakos Piraeus 1 2 1 +1 3
14 Red Bull Salzburg 1 1 0 +1 3
15 Sunderland 1 1 0 +1 3
16 Omonia Nicosia 1 1 0 +1 3
17 Jagiellonia 1 1 2 -1 0
18 Real Sociedad 1 1 2 -1 0
19 Anderlecht 1 1 2 -1 0
20 Lillestrom 1 1 2 -1 0
21 Celtic 1 1 3 -2 0
22 Marseille 1 1 4 -3 0
23 Ararat-Armenia 1 1 4 -3 0
24 Sturm Graz 1 0 0 0 1
25 Rennes 1 0 0 0 1
26 Dinamo Zagreb 1 0 0 0 1
27 Hapoel Beer Sheva 1 0 0 0 1
28 Celta Vigo 1 0 1 -1 0
29 AZ Alkmaar 1 0 1 -1 0
30 Levski Sofia 1 0 1 -1 0
31 1899 Hoffenheim 1 0 2 -2 0
32 AC Milan 1 0 2 -2 0
33 Celje 1 0 2 -2 0
34 Plzen 1 0 3 -3 0
35 Lech Poznan 1 0 4 -4 0
36 NEC Nijmegen 1 0 5 -5 0
# TEAM MP xG xGC +/- PTS
1 Olympiakos Piraeus 1 2.5 0.5 +2.0 3
2 Sunderland 1 2.9 1.5 +1.4 3
3 Bayer Leverkusen 1 1.9 0.9 +1.0 3
4 Rennes 1 1.8 0.8 +1.0 1
5 Celta Vigo 1 1.2 0.3 +0.9 0
6 Sparta Praha 1 2.5 1.9 +0.6 3
7 Hapoel Beer Sheva 1 0.8 0.3 +0.5 1
8 AC Milan 1 1.0 0.6 +0.4 0
9 Anderlecht 1 1.4 1.3 +0.1 0
10 Lyon 1 1.3 1.4 -0.1 3
11 Benfica 1 0.6 1.0 -0.4 3
12 Dinamo Zagreb 1 0.3 0.8 -0.5 1
13 Ararat-Armenia 1 1.9 2.5 -0.6 0
14 Omonia Nicosia 1 0.3 1.2 -0.9 3
15 Celje 1 0.9 1.9 -1.0 0
16 Sturm Graz 1 0.8 1.8 -1.0 1
17 AZ Alkmaar 1 1.5 2.9 -1.4 0
18 Jagiellonia 1 0.5 2.5 -2.0 0
19 Juventus 1 — — — 3
20 Crystal Palace 1 — — — 3
21 Besiktas 1 — — — 3
22 Union St. Gilloise 1 — — — 3
23 Ferencvarosi TC 1 — — — 3
24 OFI 1 — — — 3
25 Bournemouth 1 — — — 3
26 Torreense 1 — — — 3
27 Red Bull Salzburg 1 — — — 3
28 Real Sociedad 1 — — — 0
29 Lillestrom 1 — — — 0
30 Levski Sofia 1 — — — 0
31 Celtic 1 — — — 0
32 1899 Hoffenheim 1 — — — 0
33 Marseille 1 — — — 0
34 Plzen 1 — — — 0
35 Lech Poznan 1 — — — 0
36 NEC Nijmegen 1 — — — 0