You're viewing data from 13 Jul — today's update hasn't been published yet.
Challenger · ELO ESTIMATE · 2026-07-12

C. Langmo vs A. Kobelt — prediction

Lincoln
✓ Correct
LANGMOWIN PROBABILITYKOBELT
77%
Elo prob.
@1.03
odds · 97% impl.
H2H 1–0 LangmoRest 14d vs 18d📈Form 4/10 · 2✗
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1622 vs 1413 — favorite by rating

Challenger tier · 326 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.
@1.30
fair odds
−20.8%
expected value
HOW EACH FACTOR MATTERS
Level (Elo)▸ Langmo●●●
209-point Elo gap (1622 vs 1413) is the model's core driver, translating to a 77% win probability for Langmo.
Head-to-head▸ Langmo
Langmo won the only prior meeting (2024, Challenger), a small but consistent data point in his favor.
Form▸ Langmo●●
Langmo's last 10 (LWLWLLWWLL) shows 4 wins and a -2 streak, versus Kobelt's 2 wins and a -6 streak — Langmo is clearly sharper.
Rest▸ Kobelt
Kobelt has 18 days off with zero matches in that span versus Langmo's 14 days and one match, giving him fresher legs.
Betting Value= Even●●●
Odds of 1.03 imply 97% win probability, well above the model's 77% — a -20.8% EV shows no value in backing the favorite.
ELO GAP DRIVES THE PICK

The single biggest input here is the Elo differential: Langmo sits at 1622 against Kobelt's 1413, a 209-point gap that is unusually wide even for Challenger level. That difference is what pushes the model to a 77% favorite probability — it reflects a real quality gap in results history, not a marginal edge.

With no surface, serve, or return data available for either player, the Elo gap effectively carries the analytical weight of this preview. It's a blunt instrument, but at this margin it's a meaningful one.

FORM AND HISTORY ALIGN

Recent form reinforces the rating gap rather than contradicting it. Langmo's last 10 matches (LWLWLLWWLL) show four wins and a modest two-match slide, while Kobelt has managed only two wins in his last 10 and is mired in a six-match losing streak. That kind of prolonged skid typically shows up in shakier serve holds and slower reads on return, even without granular stats to confirm it here.

The single head-to-head meeting, won by Langmo in 2024, is too small a sample to lean on heavily, but it does not push against the form or rating picture — everything points the same direction.

VALUE READ

The rating model likes Langmo, and the form and head-to-head data support that lean. But price is a separate question from pick. At odds of 1.03, the market is pricing Langmo at roughly 97% to win, while the model's independent estimate is 77% — a 20-point gap that produces a -20.8% expected value on any wager at this price.

This is also an Elo-based estimate on a Challenger match, a softer, less-liquid market where edges are unproven even when they appear on paper. The honest read: Langmo is very likely the better player tonight, but there is no value in betting him at this price — the market has already priced in more certainty than the model can justify.

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.

Analyze today's matches →