JSK vs Simba Statistics & Analysis

Jun 14, 2026 - 14:00
1 1.05
0 0.87
xG Accuracy: 78%
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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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 JSK JSK ✔ Correct
  • Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 1-0 ✔ Correct

AI match briefing

AI Match Summary

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

  • League: Ligue 1
  • Fixture: JSK vs Simba
  • Kickoff: 2026-06-14 14:00:00
  • 1X2 (model): Home 37.3% · Draw 34.9% · Away 27.8%
  • xG (showing): JSK 1.05 — Simba 0.87 (total xG ≈ 1.92)
  • 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 Under 2.5 (Under 2.5 69.8% · Over 2.5 30.2%); BTTS No (Yes 39.5% · No 60.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 39.5% · No 60.5%
  • Correct score (top bin): 1-0 (15.4%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

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.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

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

FAQ

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.

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.

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.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

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 16, 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
Ligue 1 Ligue 1Standings
# TEAM MP W D L PTS
1 TP Mazembe 25 19 4 2 61
2 Saint Eloi Lupopo 21 14 5 2 47
3 Simba 26 13 6 7 45
4 Don Bosco 23 12 6 5 42
5 CS Manika 26 9 12 5 39
6 Tanganyika 24 11 4 9 37
7 Blessing 25 9 7 9 34
8 Lubumbashi Sport 26 8 10 8 34
9 Saint-Luc 24 9 5 10 32
10 Sanga Balende 26 8 6 12 30
11 Tshinkunku 26 7 9 10 30
12 FC Tshikas 26 6 9 11 27
13 Malole 24 7 5 12 26
14 AS New Soger 25 7 5 13 26
15 Groupe Bazano 27 6 8 13 26
16 Panda B5 26 4 1 21 13
# TEAM MP GS GC +/- PTS
1 TP Mazembe 25 48 8 +40 61
2 Saint Eloi Lupopo 21 39 14 +25 47
3 Blessing 25 30 24 +6 34
4 Don Bosco 23 29 17 +12 42
5 Simba 26 29 24 +5 45
6 Tanganyika 24 27 20 +7 37
7 CS Manika 26 24 16 +8 39
8 Groupe Bazano 27 22 34 -12 26
9 Malole 24 21 27 -6 26
10 Sanga Balende 26 21 28 -7 30
11 FC Tshikas 26 21 31 -10 27
12 Tshinkunku 26 20 34 -14 30
13 AS New Soger 25 19 28 -9 26
14 Lubumbashi Sport 26 17 18 -1 34
15 Saint-Luc 24 16 22 -6 32
16 Panda B5 26 13 51 -38 13