Brumov vs Kroměříž II Statistics & Analysis

May 17, 2026 - 08:15
3 1.45
0 1.25
xG Accuracy: 46%
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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 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Brumov Draw ✖ Incorrect
  • Correct Score Insights 1-1 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 4. liga - Divizie E
  • Fixture: Brumov vs Kroměříž II
  • Kickoff: 2026-05-17 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Brumov 1.45 — Kroměříž II 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 No (Yes 38.6% · No 61.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 38.6% · No 61.4%
  • Correct score (top bin): 1-1 (11.6%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

No bankroll-sized bet is implied here.

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.

Stake sizing should default to zero when no headline +EV exists — experimentation belongs in the discretionary bucket only.

FAQ

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.

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.

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.

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.

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 19, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
4. liga - Divizie E 4. liga - Divizie EStandings
# TEAM MP W D L PTS
1 Uherský Brod 24 19 5 0 62
2 Tatran Všechovice 25 16 3 6 51
3 Strání 25 15 3 7 48
4 Kozlovice 23 12 8 3 44
5 Sokol Lanžhot 23 11 6 6 39
6 Bzenec 24 12 2 10 38
7 Brumov 24 12 2 10 38
8 Slavičín 24 11 5 8 38
9 Baťov 24 8 6 10 30
10 Kroměříž II 24 8 3 13 27
11 Břeclav 24 8 2 14 26
12 Šternberk 25 4 7 14 19
13 Holešov 23 3 6 14 15
14 Nové Sady 23 3 6 14 15
15 Skaštice 23 3 4 16 13
# TEAM MP GS GC +/- PTS
1 Tatran Všechovice 25 65 33 +32 51
2 Bzenec 24 57 47 +10 38
3 Strání 25 51 31 +20 48
4 Kozlovice 23 47 27 +20 44
5 Uherský Brod 24 46 9 +37 62
6 Sokol Lanžhot 23 40 21 +19 39
7 Brumov 24 38 33 +5 38
8 Slavičín 24 34 32 +2 38
9 Břeclav 24 31 47 -16 26
10 Šternberk 25 29 47 -18 19
11 Holešov 23 29 49 -20 15
12 Baťov 24 26 37 -11 30
13 Kroměříž II 24 26 41 -15 27
14 Nové Sady 23 22 44 -22 15
15 Skaštice 23 19 62 -43 13