Statistics / Football / Morocco. Botola Pro / Kawkab Marrakech vs Ittihad Tanger

Kawkab Marrakech vs Ittihad Tanger Statistics & Analysis

Kawkab Marrakech Kawkab Marrakech
Jun 17, 2026 - 15:00
0 1.17
2 1.02
xG Accuracy: 55%
Ittihad Tanger Ittihad Tanger
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Kawkab Marrakech Ittihad Tanger ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 13:13 UTC Snapshot ID: dp-3425837

Closing Odds 2.34
AI Fair Odds —
CLV +0.0%
Final Result Ittihad Tanger win · Kawkab Marrakech 0–2 Ittihad Tanger
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Kawkab Marrakech (1X2), Ittihad Tanger (1X2), Over 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Over 2.5 goals by about 5.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Kawkab Marrakech (1X2) 37.1 35.2 +2.0
Draw (1X2) 33.6 38.9 -5.3
Ittihad Tanger (1X2) 29.2 25.9 +3.3
Over 2.5 goals 37.5 32.2 +5.3
Under 2.5 goals 62.5 67.8 -5.3
What this means

In plain terms: the model lands near 37.5% on Over 2.5 goals, while the closing snapshot implied about 32.2%. The difference — about 5.3 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Kawkab Marrakech (1X2) 2.59 2.59 0.0
Draw (1X2) 2.34 2.34 0.0
Ittihad Tanger (1X2) 3.52 3.52 0.0
Over 2.5 goals 2.88 2.88 0.0
Under 2.5 goals 1.37 1.37 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Botola Pro
  • Fixture: Kawkab Marrakech vs Ittihad Tanger
  • Kickoff: 2026-06-17 15:00:00
  • 1X2 (model): Home 37.1% · Draw 33.6% · Away 29.2%
  • xG (showing): Kawkab Marrakech 1.17 — Ittihad Tanger 1.02 (total xG ≈ 2.19)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 37.5% · Implied: 34.4% · Probability edge: +3.1 pts · Est. EV: +8.0%
  • BTTS (model): Yes 45.8% · No 54.2%
  • Correct score (top bin): 1-1 (13.4%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Historical Recommendation

Historical Decision: No Primary Bet

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

September 27, 2026 (UTC)

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Back to Statistics
Botola Pro Botola Pro — Standings
# TEAM MP W D L PTS
1 Maghreb Fès 30 16 11 3 59
2 Renaissance Berkane 30 16 9 5 57
3 Raja Casablanca 30 16 8 6 56
4 FAR Rabat 30 13 16 1 55
5 Wydad AC 30 13 4 13 43
6 Difaa EL Jadida 30 9 13 8 40
7 Ittihad Tanger 30 9 12 9 39
8 FUS Rabat 30 9 10 11 37
9 Kawkab Marrakech 30 8 12 10 36
10 CODM Meknès 30 9 9 12 36
11 CR Khemis Zemamra 30 8 9 13 33
12 Hassania Agadir 30 8 9 13 33
13 UTS Rabat 30 6 13 11 31
14 Yacoub El Mansour 30 7 9 14 30
15 Olympique Dcheïra 30 7 9 14 30
16 Olympique Safi 30 3 13 14 22
# TEAM MP GS GC +/- PTS
1 FAR Rabat 30 45 22 +23 55
2 Renaissance Berkane 30 44 27 +17 57
3 Maghreb Fès 30 40 17 +23 59
4 Raja Casablanca 30 39 19 +20 56
5 Wydad AC 30 39 33 +6 43
6 Yacoub El Mansour 30 34 44 -10 30
7 UTS Rabat 30 32 40 -8 31
8 FUS Rabat 30 31 36 -5 37
9 Difaa EL Jadida 30 30 34 -4 40
10 Olympique Dcheïra 30 29 40 -11 30
11 CR Khemis Zemamra 30 28 37 -9 33
12 Kawkab Marrakech 30 27 26 +1 36
13 Ittihad Tanger 30 27 31 -4 39
14 Hassania Agadir 30 27 39 -12 33
15 CODM Meknès 30 24 33 -9 36
16 Olympique Safi 30 24 42 -18 22
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