HOW EACH FACTOR MATTERS
Level (Elo)▸ Kellovsky●●●
Elo gap of 1600 vs 1388 is large for this level, giving Kellovsky a clear rating edge in the model.
Form▸ Kellovsky●●
Sheyngezikht is on a 4-match losing streak (LLLWWWLLLL), signaling poor recent form heading into this match.
Rest= Even●
Sheyngezikht has played 0 matches in 14 days and last competed 20 days ago — could mean rust or a fresh start, unclear which.
Track record depth▸ Kellovsky●
Kellovsky's Elo is built on a 202-match ITF sample, making his rating more stable than a single-tournament read.
Market value= Even●●
Model gives 77% vs market's 57% implied — a 36% EV gap, but Elo in ITF is a soft, unproven market signal.
LEVEL GAP
The core driver here is the Elo differential: 1600 for Kellovsky against 1388 for Sheyngezikht. That is a substantial gap even accounting for the volatility typical of ITF-level rating systems, and it is built on a 202-match track record for the favorite, which adds some stability to the estimate rather than resting on a handful of recent results.
This level gap is the primary reason the model leans heavily toward Kellovsky (77%), and it is the only hard performance signal available in this data set since surface, serve/return splits, and head-to-head are all missing.
FORM AND RUST
Sheyngezikht arrives having lost four straight matches (LLLWWWLLLL), which points to some negative momentum, though the sample doesn't tell us the quality of opposition faced in that stretch. Combined with the Elo gap, this reinforces the case against him rather than offering any counterbalance.
His rest profile is a wildcard: zero matches in the last 14 days and 20 days since his last outing could mean he's undercooked and short on match rhythm, or it could mean he's arriving fresh off a break. Without comparable rest data for Kellovsky, this factor stays neutral rather than tipping the match either way.
VALUE READ
The model prices Kellovsky at 77% to win, well above the market's implied 57% from the 1.76 odds, producing a 36% expected-value gap on paper. That's a wide divergence, and it's worth taking seriously as a signal, but not as a guarantee.
The caveat is important: this Elo estimate comes from a soft, less-analyzed Challenger/ITF market where pricing efficiency is unproven. A gap this large more likely reflects the limits of the rating model at this level than a mispriced favorite. Treat this as an interesting estimate, not a confirmed edge, and size any decision accordingly.
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.