Statistics / Football / Germany. 2. Bundesliga / SV Darmstadt 98 vs SC Paderborn 07

SV Darmstadt 98 vs SC Paderborn 07 Statistics & Analysis

SV Darmstadt 98 SV Darmstadt 98
May 17, 2026 - 13:30
0 1.57
2 1.92
xG Accuracy: 64%
SC Paderborn 07 SC Paderborn 07
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 SC Paderborn 07 SC Paderborn 07 ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 03, 2026 · 01:38 UTC Snapshot ID: dp-2909546

Closing Odds 1.95
AI Fair Odds —
CLV +0.0%
Final Result SC Paderborn 07 win · SV Darmstadt 98 0–2 SC Paderborn 07
Prediction ✔ Correct
Decision Grade A

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

The largest late implied swing on this feed was about 0.7 percentage points on SV Darmstadt 98 (1X2) between PRE30 and PRE1.

The model still exceeds closing implied on SV Darmstadt 98 (1X2) by about 3.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
SV Darmstadt 98 (1X2) 30.6 27.6 +3.0
Draw (1X2) 24.4 23.3 +1.1
SC Paderborn 07 (1X2) 45.0 49.1 -4.1
Over 2.5 goals 67.7 68.0 -0.3
Under 2.5 goals 32.3 32.0 +0.3
What this means

In plain terms: the model lands near 30.6% on SV Darmstadt 98 (1X2), while the closing snapshot implied about 27.6%. The difference — about 3.0 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.

Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
SV Darmstadt 98 (1X2) 3.38 3.46 -0.7
Draw (1X2) 4.12 4.11 +0.0
SC Paderborn 07 (1X2) 1.98 1.95 +0.7
Over 2.5 goals 1.4 1.4 -0.1
Under 2.5 goals 2.98 2.97 +0.1

AI match briefing

AI Match Summary

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

  • League: 2. Bundesliga
  • Fixture: SV Darmstadt 98 vs SC Paderborn 07
  • Kickoff: 2026-05-17 13:30:00
  • 1X2 (model): Home 30.6% · Draw 24.4% · Away 45.0%
  • xG (showing): SV Darmstadt 98 1.57 — SC Paderborn 07 1.92 (total xG ≈ 3.49)
  • Value headline: None (actionable) — best tracked EV is about +0.1%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 32.3% · Over 2.5 67.7%); BTTS Yes (Yes 68.8% · No 31.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 68.8% · No 31.2%
  • Correct score (top bin): 1-1 (9.2%)

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.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against 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 30, 2026 (UTC)

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Back to Statistics
2. Bundesliga 2. Bundesliga — Standings
# TEAM MP W D L PTS
1 FC Schalke 04 34 21 7 6 70
2 SV Elversberg 34 18 8 8 62
3 SC Paderborn 07 34 18 8 8 62
4 Hannover 96 34 16 12 6 60
5 SV Darmstadt 98 34 13 13 8 52
6 1. FC Kaiserslautern 34 16 4 14 52
7 Hertha BSC 34 14 9 11 51
8 1. FC Nürnberg 34 12 10 12 46
9 VfL Bochum 34 11 11 12 44
10 Karlsruher SC 34 12 8 14 44
11 Dynamo Dresden 34 11 8 15 41
12 Holstein Kiel 34 11 8 15 41
13 Arminia Bielefeld 34 10 9 15 39
14 1. FC Magdeburg 34 12 3 19 39
15 Eintracht Braunschweig 34 10 7 17 37
16 SpVgg Greuther Fürth 34 10 7 17 37
17 Fortuna Düsseldorf 34 11 4 19 37
18 Preußen Münster 34 6 12 16 30
# TEAM MP GS GC +/- PTS
1 SV Elversberg 34 64 39 +25 62
2 Hannover 96 34 60 44 +16 60
3 SC Paderborn 07 34 59 45 +14 62
4 SV Darmstadt 98 34 57 45 +12 52
5 Dynamo Dresden 34 54 53 +1 41
6 Arminia Bielefeld 34 53 51 +2 39
7 Karlsruher SC 34 53 64 -11 44
8 1. FC Kaiserslautern 34 52 47 +5 52
9 1. FC Magdeburg 34 52 58 -6 39
10 FC Schalke 04 34 50 31 +19 70
11 VfL Bochum 34 49 47 +2 44
12 SpVgg Greuther Fürth 34 49 68 -19 37
13 Hertha BSC 34 47 44 +3 51
14 1. FC Nürnberg 34 47 45 +2 46
15 Holstein Kiel 34 44 48 -4 41
16 Preußen Münster 34 38 61 -23 30
17 Eintracht Braunschweig 34 36 54 -18 37
18 Fortuna Düsseldorf 34 33 53 -20 37
# TEAM MP xG xGC +/- PTS
1 FC Schalke 04 34 51.0 30.4 +20.6 70
2 SC Paderborn 07 34 58.1 38.1 +20.0 62
3 Hannover 96 34 55.4 38.5 +16.9 60
4 SV Elversberg 34 54.6 37.8 +16.8 62
5 1. FC Magdeburg 34 52.6 45.9 +6.7 39
6 Arminia Bielefeld 34 50.3 46.2 +4.1 39
7 VfL Bochum 34 51.9 48.6 +3.3 44
8 1. FC Nürnberg 34 46.2 44.2 +2.0 46
9 SV Darmstadt 98 34 52.1 51.8 +0.3 52
10 1. FC Kaiserslautern 34 46.7 47.1 -0.4 52
11 Dynamo Dresden 34 43.2 43.9 -0.7 41
12 Hertha BSC 34 44.7 51.4 -6.7 51
13 Fortuna Düsseldorf 34 40.3 49.4 -9.1 37
14 Eintracht Braunschweig 34 36.7 48.1 -11.4 37
15 SpVgg Greuther Fürth 34 39.4 51.4 -12.0 37
16 Holstein Kiel 34 41.0 53.1 -12.1 41
17 Preußen Münster 34 36.7 55.9 -19.2 30
18 Karlsruher SC 34 42.5 61.9 -19.4 44