Statistics / Football / Congo-DR. Ligue 1 / Saint Eloi Lupopo vs Don Bosco

Saint Eloi Lupopo vs Don Bosco Statistics & Analysis

Jun 11, 2026 - 13:00
0 1.15
0 0.78
xG Accuracy: 59%
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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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Saint Eloi Lupopo Draw ✖ Incorrect
  • Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 0-0 ✔ Correct

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Ligue 1
  • Fixture: Saint Eloi Lupopo vs Don Bosco
  • Kickoff: 2026-06-11 13:00:00
  • 1X2 (model): Home N/A · Draw N/A · Away N/A
  • xG (showing): Saint Eloi Lupopo 1.15 — Don Bosco 0.78 (total xG ≈ 1.93)
  • 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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

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.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

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.

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.

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 15, 2026 (UTC)

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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