Statistics / Football / Ethiopia. Premier League / Kedus Giorgis vs Mekelakeya

Kedus Giorgis vs Mekelakeya Statistics & Analysis

Jun 14, 2026 - 12:00
3 0.85
0 0.86
xG Accuracy: 44%
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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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 draw Kedus Giorgis ✖ Incorrect
  • Correct Score Insights 0-0, 0-1, 1-0, 1-1, 0-2 3-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Kedus Giorgis vs Mekelakeya
  • Kickoff: 2026-06-14 12:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Kedus Giorgis 0.85 — Mekelakeya 0.86 (total xG ≈ 1.71)
  • 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

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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.

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

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.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

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.

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)

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
Premier League Premier LeagueStandings
# TEAM MP W D L PTS
1 Sidama Bunna 19 9 8 2 35
2 Awassa Kenema 19 10 5 4 35
3 Negelle Arsi 19 10 5 4 35
4 Fasil Ketema 19 8 9 2 33
5 Mekelakeya 19 7 7 5 28
6 Adama Kenema 19 6 10 3 28
7 Mebrat Hayl 19 6 9 4 27
8 Kedus Giorgis 19 6 6 7 24
9 Bahardar 19 4 12 3 24
10 Hadiya Hosaena 19 6 6 7 24
11 Dire Dawa Kenema 19 5 9 5 24
12 Suhul Shire 19 5 8 6 23
13 Ethiopia Bunna 19 6 5 8 23
14 Ethiopia Nigd Bank 19 4 9 6 21
15 Sheger Ketema 19 4 9 6 21
16 Ethiopian Medhin 19 4 8 7 20
17 Mekelle Kenema 19 3 10 6 19
18 Welwalo Adigrat Uni 19 3 8 8 17
19 Welayta Dicha 19 2 10 7 16
20 Arba Minch Kenema 19 1 9 9 12
# TEAM MP GS GC +/- PTS
1 Sidama Bunna 19 24 10 +14 35
2 Mekelakeya 19 23 17 +6 28
3 Awassa Kenema 19 22 11 +11 35
4 Ethiopia Nigd Bank 19 22 24 -2 21
5 Negelle Arsi 19 21 12 +9 35
6 Hadiya Hosaena 19 17 20 -3 24
7 Mekelle Kenema 19 17 20 -3 19
8 Kedus Giorgis 19 16 14 +2 24
9 Ethiopia Bunna 19 16 20 -4 23
10 Welayta Dicha 19 16 21 -5 16
11 Adama Kenema 19 15 14 +1 28
12 Fasil Ketema 19 14 8 +6 33
13 Bahardar 19 14 13 +1 24
14 Sheger Ketema 19 14 17 -3 21
15 Suhul Shire 19 13 13 0 23
16 Welwalo Adigrat Uni 19 13 22 -9 17
17 Ethiopian Medhin 19 12 15 -3 20
18 Dire Dawa Kenema 19 12 19 -7 24
19 Mebrat Hayl 19 11 10 +1 27
20 Arba Minch Kenema 19 10 22 -12 12