Blansko vs Vítkovice Statistics & Analysis

May 23, 2026 - 08:15
1 1.45
1 1.25
xG Accuracy: 82%
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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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Blansko Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 1-1 ✔ Correct

AI match briefing

AI Match Summary

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

  • League: 3. liga - MSFL
  • Fixture: Blansko vs Vítkovice
  • Kickoff: 2026-05-24 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Blansko 1.45 — Vítkovice 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 65.1% · Implied: 57.4% · Probability edge: +7.7 pts · Est. EV: +6.1%
  • BTTS (model): Yes 60.7% · No 39.3%
  • Correct score (top bin): 1-1 (9.7%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Primary pick from the decision engine: Over 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

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

June 06, 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
3. liga - MSFL 3. liga - MSFLStandings
# TEAM MP W D L PTS
1 Třinec 32 22 7 3 73
2 Hodonín 32 21 7 4 70
3 Zbrojovka Brno II 32 19 4 9 61
4 Sigma Olomouc II 33 18 6 10 59
5 Uničov 32 16 11 6 58
6 Frýdek-Místek 32 16 9 7 57
7 Vrchovina 32 15 7 10 52
8 Unie Hlubina 32 13 8 11 47
9 Vsetín 33 13 6 14 45
10 Zlín II 32 10 10 11 40
11 Slovácko II 32 9 10 13 37
12 Vítkovice 32 10 7 15 37
13 Polanka nad Odrou 32 8 8 16 32
14 Hranice 33 7 9 17 30
15 Blansko 32 9 3 20 30
16 Karviná II 32 7 8 18 26
17 Hlučín 33 6 7 20 25
18 Start Brno 32 4 12 17 24
# TEAM MP GS GC +/- PTS
1 Hodonín 32 74 34 +40 70
2 Třinec 32 69 24 +45 73
3 Sigma Olomouc II 33 68 32 +36 59
4 Zbrojovka Brno II 32 67 44 +23 61
5 Vrchovina 32 60 47 +13 52
6 Zlín II 32 53 61 -8 40
7 Vsetín 33 51 52 -1 45
8 Frýdek-Místek 32 50 35 +15 57
9 Uničov 32 50 40 +10 58
10 Unie Hlubina 32 50 45 +5 47
11 Slovácko II 32 46 52 -6 37
12 Vítkovice 32 44 54 -10 37
13 Blansko 32 44 72 -28 30
14 Hlučín 33 39 72 -33 25
15 Hranice 33 37 58 -21 30
16 Karviná II 32 36 59 -23 26
17 Polanka nad Odrou 32 36 60 -24 32
18 Start Brno 32 32 65 -33 24