Challenger · ELO ESTIMATE · 2026-07-17

K. Coppejans vs G. Den Oudenprediction

Bunschoten
✗ Missed
COPPEJANSWIN PROBABILITYOUDEN
57%
Elo prob.
@1.84
odds · 54% impl.
H2H 1–0 CoppejansRest 2d vs 1d🎾Serve 60%📈Form 8/10 · 3✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1829 vs 1783 — favorite by rating

Challenger tier · 316 matches in the favorite's track record

Elo estimate (not the ATP factor model): these are softer, less-analyzed markets

WATCH FOR

!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.

Tour Elo estimate (Challenger/ITF markets, not covered by the factor model). The value edge here is unproven live — it's a reference, not a recommendation. 18+ · gamble responsibly.
@1.77
fair odds
+4.2%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Coppejans●●
Elo gap (1829 vs 1783) drives the 57%-43% model split; only the opponent's ranking (169) is known, limiting cross-check.
Serve/Return▸ Coppejans●●
Serve marks are near-even (60% vs 61%), but Coppejans returns better (45% vs 42%), giving him the likelier edge to break.
Form▸ Coppejans●●
Last 10 matches: Coppejans 8-2 vs Den Ouden 6-4, though both currently carry a 3-match win streak.
Head-to-head▸ Coppejans
Their only meeting, a 2026 Challenger match, went to Coppejans, but one data point is not decisive.
Rest= Even
Coppejans has one extra rest day (2 vs 1) but has played two more matches in 14 days (7 vs 5) — fatigue signals offset.
Market value▸ Coppejans
Model's 57% sits above the market's 54% implied probability at 1.84 odds, a 4.2% EV, but Challenger Elo edges remain unproven.
ELO AND FORM

Coppejans carries a 46-point Elo advantage (1829 vs 1783), which is the backbone of his 57% model probability. That gap is reinforced by recent form: his 8-2 record over the last 10 matches outpaces Den Ouden's 6-4, even though both players are riding identical 3-match win streaks right now. The rating edge and the sharper recent output point in the same direction, which is why the model leans toward Coppejans rather than calling this a coin flip.

No ranking is available for Coppejans, so the comparison rests on Elo and match log alone. Den Ouden's rank of 169 gives some external anchor, but without a favorite-side ranking, this factor should be read as rating-driven rather than as a full profile comparison.

SERVE VS RETURN

The service numbers are close — Den Ouden actually serves at a marginally higher rate (61% vs 60%) — so this is not a match where one player dominates on serve. The separating detail is the return column: Coppejans returns at 45% compared to Den Ouden's 42%. That three-point gap suggests Coppejans is somewhat more likely to generate break chances than Den Ouden is against him, even though both players should hold serve at a comparable clip.

With surface and conditions unlisted, this serve/return read is the clearest style-based signal available, and it modestly favors Coppejans without implying a lopsided contest.

SCHEDULE LOAD

Rest cuts both ways here. Coppejans has one more day since his last match (2 vs 1), which is a small recovery edge, but he has also played two more matches in the last 14 days (7 vs 5), which points to a heavier accumulated workload. Den Ouden is fresher in terms of match count but has had less turnaround time before this one.

Neither signal is strong enough on its own to tilt the match meaningfully, so this factor is best treated as neutral — a detail worth watching if the match extends to a third set, but not a driver of the headline probability.

VALUE READ

The model's 57% probability for Coppejans compares to a market-implied 54% at odds of 1.84, producing a 4.2% expected value. That is a modest gap, not a large mispricing, and it comes from a Challenger-level Elo estimate — a softer, less-scrutinized market where any edge is unproven rather than confirmed.

Coppejans is the more probable winner on the numbers presented — better recent form, a return-game edge, and the head-to-head result — but being favored is not the same as being a value lock. Treat this as a case where the model and the market are broadly aligned, with only a small, uncertain edge on the favorite's side.

Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.

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