Motorlet Praha vs Písek Statistics & Analysis

May 09, 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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Motorlet Praha Draw ✖ Incorrect
  • Correct Score Insights 1-1 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 - CFL A
  • Fixture: Motorlet Praha vs Písek
  • Kickoff: 2026-05-09 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Motorlet Praha 1.45 — Písek 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 52.1% · Implied: 44.9% · Probability edge: +7.2 pts · Est. EV: +8.4%
  • BTTS (model): Yes 47.9% · No 52.1%
  • Correct score (top bin): 1-1 (12.2%)

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

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

Primary pick from the decision engine: BTTS No.

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

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

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.

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.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

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 17, 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 - CFL A 3. liga - CFL AStandings
# TEAM MP W D L PTS
1 Kladno 28 19 5 4 62
2 Jiskra Domažlice 28 18 3 7 57
3 Viktoria Plzeň II 28 16 7 5 55
4 Písek 28 12 7 9 43
5 Králův Dvůr 29 13 4 12 43
6 Admira Praha 27 12 6 9 42
7 Slavia III 28 12 5 11 41
8 Aritma Praha 29 10 11 8 41
9 Loko Vltavín 28 12 4 12 40
10 České Budějovice II 28 9 10 9 37
11 Příbram II 27 11 2 14 35
12 Bohemians 1905 II 28 9 7 12 34
13 Dukla Praha II 27 10 4 13 34
14 Motorlet Praha 27 8 7 12 31
15 Sokol Hostouň 29 7 10 12 31
16 Petřín Plzeň 28 6 4 18 22
17 Táborsko II 29 4 4 21 16
# TEAM MP GS GC +/- PTS
1 Kladno 28 78 25 +53 62
2 Jiskra Domažlice 28 66 37 +29 57
3 Viktoria Plzeň II 28 65 43 +22 55
4 Králův Dvůr 29 52 51 +1 43
5 Bohemians 1905 II 28 51 50 +1 34
6 České Budějovice II 28 48 49 -1 37
7 Slavia III 28 47 40 +7 41
8 Dukla Praha II 27 42 48 -6 34
9 Písek 28 40 33 +7 43
10 Příbram II 27 40 50 -10 35
11 Aritma Praha 29 38 38 0 41
12 Admira Praha 27 36 34 +2 42
13 Petřín Plzeň 28 33 67 -34 22
14 Loko Vltavín 28 32 37 -5 40
15 Motorlet Praha 27 29 39 -10 31
16 Sokol Hostouň 29 28 41 -13 31
17 Táborsko II 29 25 68 -43 16