HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Thomson●●●
Thomson's 1469 Elo vs Peck's 1360 gives him 65% win probability, matching the market's 64% closely.
Form▸ Thomson●●●
Thomson is on a 6-match winning streak (last10 mostly W's); Peck has lost 9 of his last 10, including four straight before his lone recent win.
Rest▸ Peck●●
Both had 1 day off, but Thomson played 6 matches in 14 days vs Peck's 1 — heavier recent workload raises fatigue risk for the favorite.
LEVEL AND FORM
The rating gap is the clearest signal here: Thomson's 1469 Elo sits 109 points above Peck's 1360, translating to a 65% model probability that lines up almost exactly with the market's 64% implied price. This is a soft ITF market, so the edge should be read as an estimate rather than a proven advantage.
Recent form reinforces the rating gap rather than contradicting it. Thomson arrives on a 6-match winning streak, while Peck has dropped 9 of his last 10 outings, breaking a four-match losing skid only in his most recent match. Both signals point the same direction, which strengthens confidence in the favorite's edge even without surface or serve/return data to add further detail.
SCHEDULE AND FATIGUE
Both players are working on a single day of rest, so there is no immediate freshness gap heading into this match. The difference shows up over a longer window: Thomson has played 6 matches in the last 14 days compared to just 1 for Peck, a workload disparity that can accumulate physically over a tournament even when short-term rest is equal.
This is a mild counterweight to Thomson's form and rating advantages — not enough to flip the picture, but worth noting as a factor that could shave a bit off his physical sharpness relative to a comparatively fresh-legged opponent.
VALUE READ
The model's 65% for Thomson is nearly identical to the market's own 64% implied probability, and the resulting 2.4% expected value is modest. This is an Elo-based estimate in a Challenger/ITF context — a softer, less-analyzed market where any edge is inherently less reliable than in tour-level models built on serve and return data.
Being the favorite here is not the same as holding a clear value edge. The numbers support Thomson as the more likely winner given his rating and current form, but the gap between model and market is thin enough that this should be treated as a fair-priced favorite rather than a mispriced 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.