Rodopa Smolyan vs Dimitrovgrad Statistics & Analysis

Rodopa Smolyan

May 09, 2026 - 15:00

2 1.45

1 1.25

xG Accuracy: 80%

Dimitrovgrad

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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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
Both Teams To Score BTTS No Yes ✖ Incorrect
1X2 Rodopa Smolyan Rodopa Smolyan ✔ Correct
Correct Score Insights 1-1 2-1 ✖ Incorrect

AI match briefing

AI Match Summary

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

League: Third League - Southeast
Fixture: Rodopa Smolyan vs Dimitrovgrad
Kickoff: 2026-05-09 15:00:00
1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
xG (showing): Rodopa Smolyan 1.45 — Dimitrovgrad 1.25 (total xG ≈ 2.7)
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 Over 2.5 (Under 2.5 34.0% · Over 2.5 66.0%); BTTS No (Yes 35.0% · No 65.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
BTTS (model): Yes 35.0% · No 65.0%
Correct score (top bin): 1-1 (9.6%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

No bankroll-sized bet is implied here.

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.

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

FAQ

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.

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.

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.

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.

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

May 17, 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

Third League - Southeast — Standings

#	TEAM	MP	W	D	L	PTS
1	Nesebar	33	26	4	3	82
2	Maritsa Plovdiv	33	22	5	6	71
3	Neftochimic Burgas	33	18	8	7	62
4	Yambol 1915	33	18	5	10	59
5	Levski Karlovo	33	18	5	10	59
6	Maritsa Milevo	33	16	8	9	56
7	Spartak Plovdiv	33	14	9	10	51
8	Sayana Haskovo	33	14	7	12	49
9	Zagorets	33	13	10	10	49
10	Sozopol	33	13	6	14	45
11	Rozova dolina	34	13	6	15	45
12	Gigant Saedinenie	34	12	5	17	41
13	Rodopa Smolyan	33	12	4	17	40
14	Atletik Kuklen	34	11	3	20	36
15	Lokomotiv Plovdiv II	33	9	6	18	33
16	Sekirovo Rakovski	33	8	8	17	32
17	Dimitrovgrad	33	9	5	19	32
18	Rakovski 2011	33	8	3	22	27
19	Asenovets	33	5	5	23	20

#	TEAM	MP	GS	GC	+/-	PTS
1	Nesebar	33	98	18	+80	82
2	Maritsa Plovdiv	33	79	35	+44	71
3	Yambol 1915	33	62	36	+26	59
4	Maritsa Milevo	33	59	28	+31	56
5	Spartak Plovdiv	33	58	47	+11	51
6	Levski Karlovo	33	58	48	+10	59
7	Neftochimic Burgas	33	49	33	+16	62
8	Gigant Saedinenie	34	49	59	-10	41
9	Sayana Haskovo	33	48	45	+3	49
10	Zagorets	33	48	45	+3	49
11	Rodopa Smolyan	33	45	65	-20	40
12	Sozopol	33	44	37	+7	45
13	Rakovski 2011	33	43	84	-41	27
14	Lokomotiv Plovdiv II	33	42	46	-4	33
15	Rozova dolina	34	41	47	-6	45
16	Dimitrovgrad	33	38	74	-36	32
17	Atletik Kuklen	34	38	75	-37	36
18	Sekirovo Rakovski	33	27	48	-21	32
19	Asenovets	33	24	80	-56	20