Statistics / Football / Bulgaria. Second League / Dobrudzha vs CSKA Sofia II

Dobrudzha vs CSKA Sofia II Statistics & Analysis

Dobrudzha Dobrudzha
Sep 21, 2026 - 16:00
1 1.40
3 1.20
xG Accuracy: 55%
CSKA Sofia II CSKA Sofia II
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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 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Dobrudzha CSKA Sofia II ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 15, 2026 · 02:48 UTC Snapshot ID: dp-8839499

Closing Odds 1.91
AI Fair Odds —
CLV +0.0%
Final Result CSKA Sofia II win · Dobrudzha 1–3 CSKA Sofia II
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 Dobrudzha (1X2), Draw (1X2) 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 Dobrudzha (1X2) by about 11.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Dobrudzha (1X2) 40.0 28.9 +11.0
Draw (1X2) 29.5 24.5 +4.9
CSKA Sofia II (1X2) 30.6 46.5 -16.0
Over 2.5 goals 48.2 48.8 -0.6
Under 2.5 goals 51.8 51.2 +0.6
What this means

In plain terms: the model lands near 40.0% on Dobrudzha (1X2), while the closing snapshot implied about 28.9%. The difference — about 11.0 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)
Dobrudzha (1X2) 3.07 3.07 0.0
Draw (1X2) 3.62 3.62 0.0
CSKA Sofia II (1X2) 1.91 1.91 0.0
Over 2.5 goals 1.9 1.9 0.0
Under 2.5 goals 1.81 1.81 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Second League
  • Fixture: Dobrudzha vs CSKA Sofia II
  • Kickoff: 2026-09-21 16:00:00
  • 1X2 (model): Home 40.0% · Draw 29.5% · Away 30.6%
  • xG (showing): Dobrudzha 1.4 — CSKA Sofia II 1.2 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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.

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 28, 2026 (UTC)

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Back to Statistics
Second League Second League — Standings
# TEAM MP W D L PTS
1 Vihren 11 7 3 1 24
2 CSKA Sofia II 11 7 2 2 23
3 Fratria 11 6 4 1 22
4 Chernomorets 1919 Burgas 11 6 3 2 21
5 Beroe 11 5 3 3 18
6 Rilski Sportist 11 5 3 3 18
7 Nesebar 11 5 2 4 17
8 Lokomotiv G. Oryahovitsa 11 4 4 3 16
9 Yantra 2019 11 5 1 5 16
10 Hebar 1918 11 4 2 5 14
11 Etar Veliko Tarnovo 10 4 2 4 14
12 Marek 11 4 2 5 14
13 Spartak Pleven 11 4 1 6 13
14 Ludogorets II 10 3 3 4 12
15 Montana 11 3 2 6 11
16 Sportist Svoge 11 2 4 5 10
17 Dobrudzha 11 2 3 6 9
18 Pirin Blagoevgrad 11 0 0 11 0
# TEAM MP GS GC +/- PTS
1 Vihren 11 25 11 +14 24
2 Hebar 1918 11 24 19 +5 14
3 CSKA Sofia II 11 23 9 +14 23
4 Nesebar 11 20 17 +3 17
5 Chernomorets 1919 Burgas 11 18 8 +10 21
6 Fratria 11 17 8 +9 22
7 Etar Veliko Tarnovo 10 17 19 -2 14
8 Beroe 11 16 12 +4 18
9 Rilski Sportist 11 14 10 +4 18
10 Montana 11 13 23 -10 11
11 Yantra 2019 11 12 11 +1 16
12 Dobrudzha 11 12 18 -6 9
13 Marek 11 11 12 -1 14
14 Spartak Pleven 11 11 22 -11 13
15 Lokomotiv G. Oryahovitsa 11 9 10 -1 16
16 Ludogorets II 10 9 10 -1 12
17 Sportist Svoge 11 7 10 -3 10
18 Pirin Blagoevgrad 11 4 33 -29 0