HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Jonge●●●
Elo gap (1625 vs 1520) gives De Jonge a 65% model probability, slightly below the market's 68% implied figure.
Form▸ Jones●●
Jones is riding a 4-match win streak (LLLWWLWWWW) while De Jonge's momentum is mixed (WWWWLWLLWW, streak of 2).
Rest▸ Jonge●
Both had 1 day off, but Jones played 3 matches in 14 days versus De Jonge's 2, adding slightly more physical load.
Serve/return▸ Jonge●●
De Jonge's 63% serve and 34% return points won show a well-rounded profile; no comparable data exists for Jones.
Weather= Even●
Mild, dry conditions (20°C, 42% humidity, 15 km/h wind) are unremarkable; no player-specific data ties them to an edge.
RATING GAP
The core of this match is the Elo difference: 1625 for De Jonge against 1520 for Jones, a gap that translates into a 65% model probability for the favorite. This is a rating-based edge typical of ITF-level events, where fewer matches and softer data make the number a reasonable but not definitive guide.
Still, the market prices De Jonge even higher, at 68% implied probability. That gap suggests the market sees additional context — perhaps qualitative factors like current form — that the Elo model doesn't fully capture.
MOMENTUM SPLIT
Jones arrives in better form, having won his last four matches (LLLWWLWWWW), a sign of rhythm and confidence heading into this contest. De Jonge's recent record is more uneven (WWWWLWLLWW), with two losses mixed into his last six matches despite a modest two-match winning streak.
This momentum difference doesn't override the rating gap, but it tempers the size of De Jonge's edge. Form trends like this often matter more in shorter, single-set-margin matches typical of ITF play.
WORKLOAD DIFFERENCE
Both players are working on one day of rest, so fatigue from the immediate schedule is roughly even. However, Jones has played one more match in the last two weeks (3 vs. 2), a marginal but real difference in cumulative physical load that could matter in a deciding set.
SERVE PROFILE
The only concrete game-style numbers available are De Jonge's: 63% of service points won and 34% of return points won. Both figures point to a complete, serve-plus-return game, which should serve him well regardless of surface specifics (unlisted here).
Without comparable serve or return numbers for Jones, it's impossible to say whether this represents a clear stylistic advantage — only that De Jonge's own game shows no glaring weakness.
VALUE READ
At odds of 1.47, the market implies a 68% winning probability for De Jonge, while the Elo model puts him at 65%. That gap produces a negative expected value of -4.9%, meaning the price is slightly rich relative to the model's estimate.
Being the favorite doesn't equal value here — the market's confidence exceeds the model's, and this is a Challenger/ITF-tier Elo estimate, which carries acknowledged uncertainty. On balance, there's no backed edge in this line; it should be treated as a fair-to-slightly-unfavorable price rather than an opportunity.
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.