MODEL PREDICTION · 2026-07-15

S. Baez vs J. De Jongprediction

Bastad
✓ Correct
BAEZWIN PROBABILITYJONG
50%
model prob.
@2.06
odds · 49% impl.
🌡25° · 56% humRest 1d vs 2d🎾Serve 65%📈Form 7/10
THE MODEL'S REASONING

Ranking: #57 vs #73 (better ranked)

Recent form: 3/10 in recent matches

WATCH FOR

!Coming off 3 losses in a row

Calibrated model probability (~65% out-of-sample accuracy). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.99
fair odds
+3.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)= Even●●
Baez ranks higher (#57 vs #73) but Elo favors De Jong (1892 vs 1881); baseline model ties both at 46%.
Serve/return▸ Baez●●
Baez serves at 65% vs De Jong's 62%, a 3-point edge, while return rates are nearly even (39% vs 40%).
Form▸ Baez
Both are 7-3 in their last 10, but only Baez has a quality win, over A. Molcan (Elo 1935).
Rest▸ Jong
De Jong has 2 rest days vs Baez's 1, though De Jong has played twice in 14 days against Baez's single match.
Weather▸ Baez
Warm, humid air (25°C, 56% humidity) speeds the ball slightly, a marginal plus for Baez's higher serve percentage.
Value/EV= Even●●
Model's 50% edges the 49% market price by just 1 point, producing a modest +3.6% EV, not a strong signal.
LEVEL CHECK

The two players trade places depending on the metric: Baez sits 16 spots higher in the ATP ranking (#57 vs #73), suggesting broader consistency across tour-level results, while De Jong actually carries the higher Elo rating (1892 vs 1881), which weighs recent match quality more heavily. The baseline model resolves this tension by giving both players an identical 46% baseline win rate, and the full factor model lands at a near coin-flip 50-50 split. This is a genuinely close matchup on paper, not one where ranking alone should be trusted as the decisive signal.

SERVE AND CONDITIONS

Baez holds a real if modest edge on serve, winning 65% of his service points compared to De Jong's 62% — a 3-point gap that can matter over a long match if it holds. Return numbers are essentially a wash (39% for Baez, 40% for De Jong), so neither player projects as a clear break-point threat against the other.

The warm, humid conditions (25°C, 56% humidity, 11 km/h wind) tend to quicken the ball off the strings, which marginally helps the player with the better service numbers — in this case Baez. With no surface data provided, this weather effect should be read as a small tailwind rather than a decisive factor.

FORM AND SCHEDULE

Both players arrive with identical 7-3 records over their last 10 matches, so recent form does not clearly separate them on the surface. The one distinguishing data point is quality: Baez's résumé includes a win over A. Molcan (Elo 1935), a result De Jong cannot match, giving Baez a slight qualitative edge even though the raw win totals are tied.

On rest, De Jong has had two days since his last match against Baez's one, a short turnaround that could matter in a long best-of-three or five-set battle. That said, De Jong has also played twice in the last 14 days versus Baez's single outing, so the fatigue picture is mixed rather than one-sided.

VALUE READ

The model's 50% probability for Baez sits just one point above the market-implied 49% derived from the 2.06 odds, producing a modest +3.6% expected value. This is a small, not decisive, edge — the kind of gap that can easily disappear with normal market movement or minor factor recalibration.

Being the model's favorite does not equate to being a reliable pick here: Baez and De Jong are separated by inches across ranking, Elo, form, and serve metrics, and the projected probabilities essentially mirror the market's own view. Any position taken on this match should be sized with that thin margin in mind.

Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.

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