Chomutov vs Meteor Praha Prediction, Odds & AI Betting Tips

May 08, 2026 - 15:00
2 1.45
1 1.25
xG Accuracy: 80%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Chomutov Chomutov ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 1-2, 0-1 2-1 ✔ Correct

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 4. liga - Divizie B
  • Fixture: Chomutov vs Meteor Praha
  • Kickoff: 2026-05-09 15:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Chomutov 1.45 — Meteor Praha 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 45.8% · Over 2.5 54.2%); BTTS Yes (Yes 68.2% · No 31.8%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 68.2% · No 31.8%
  • Correct score (top bin): 1-1 (11.7%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

No clear +EV headline on this snapshot.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 24, 2026 (UTC)

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4. liga - Divizie B 4. liga - Divizie BStandings
# TEAM MP W D L PTS
1 Újezd Praha 4 27 17 5 5 56
2 Chomutov 27 17 4 6 55
3 Tempo Praha 27 15 7 5 52
4 Ostrov 27 16 4 7 52
5 Slaný 27 13 5 9 44
6 Meteor Praha 27 13 3 11 42
7 Karlovy Vary 26 11 8 7 41
8 Baník Sokolov 27 12 3 12 39
9 Rapid Psáry 27 11 6 10 39
10 Ústí nad Labem II 27 10 4 13 34
11 Spoje Praha 27 9 7 11 34
12 Štětí 27 9 4 14 31
13 Mariánské Lázně 26 8 4 14 28
14 Louny 27 7 5 15 26
15 Olympie Březová 27 5 4 18 19
16 Přední Kopanina 27 4 3 20 15
# TEAM MP GS GC +/- PTS
1 Újezd Praha 4 27 70 41 +29 56
2 Tempo Praha 27 65 29 +36 52
3 Ústí nad Labem II 27 60 49 +11 34
4 Slaný 27 53 41 +12 44
5 Chomutov 27 50 30 +20 55
6 Baník Sokolov 27 50 41 +9 39
7 Ostrov 27 47 31 +16 52
8 Meteor Praha 27 46 39 +7 42
9 Rapid Psáry 27 46 45 +1 39
10 Karlovy Vary 26 44 38 +6 41
11 Štětí 27 43 55 -12 31
12 Mariánské Lázně 26 38 52 -14 28
13 Spoje Praha 27 36 37 -1 34
14 Olympie Březová 27 35 78 -43 19
15 Louny 27 34 64 -30 26
16 Přední Kopanina 27 28 75 -47 15