1 source · observed . Fair probability removes the bookmaker margin where the market supports it.
Model
The model view
Pre-match
T. Yamanaka57%market 59%
S. Petrov43%market 41%
Two-way probability model · tennis-surface-elo-v5 · generated · evidence to · provisional calibration
The decision
Watch
OddsPadi is watching this match; nothing has cleared publication.
Watchlist — uncalibrated publication needs at least 5% raw edge and 4% raw EV until a calibration profile is promoted.
Reasoning
Why OddsPadi reached this view
Team strengthTeam strength and home advantage favour the home side.
Incomplete evidenceHistorical and context evidence for this fixture is thinner than the publication bar requires.
Market movementThe market price is shorter than the model's own probability for T. Yamanaka.
Evidence
What this view rests on
Fixture identityStrong
How confidently this fixture is matched to the same match across every data source.
Odds freshnessStrong
How recently the prices shown here were observed from a bookmaker.
Team dataStrong
How much verified history exists for both sides in this competition.
Lineups and availabilityThin
Whether confirmed team news is available; lineups publish about an hour before kickoff.
Calibration supportThin
How many settled outcomes support the model's probabilities in this sport.
Source coverageThin
How many independent bookmakers or data sources contributed to this view.
Decision readinessThin
The lowest of the dimensions above — a decision is only as ready as its weakest evidence.
Record
What happened, in order
Model view generatedModel view generated
KickoffKickoff
Watch
Watch — historical and context evidence is too thin for publication.
match winnerT. Yamanaka
Price caseModel versus consensus and executable price
OddsPadi57%
Book fair59%
Fair odds
1.77
Quoted odds
1.63
Probability edge
-2.7%
Expected value
-7.8%
Value claim not yet earnedUncalibrated publication needs at least 5% raw edge and 4% raw EV until a calibration profile is promoted.
Gates pending
Empirical value floor unavailableNo active, model-matched calibration profile is allowed to influence this decision. Raw EV remains a point estimate, not statistically verified value.
Unverified
Best executable quotePncl / 05 Aug, 08:31 UTC. The consensus probability is calculated separately.
Pncl
Broad market agreement7 bookmakers / 1% widest probability gap.
80% prior influence
The consensus calibrates model probability and supplies the no-vig comparison. The named bookmaker quote remains a separate executable price for expected-value analysis.
Confidencelow confidence
Riskhigh risk
Decision clock
Key risks
Without a validated track record, this match needs a larger edge than it shows.
The model is not confident enough in this read to publish it.
The model declined to make a call on this match.
Slip action lockedOnly a current, published value pick can be added.Discuss match
Community opinion
What the crowd sees
Fan votes and accountable tips sit beside the model, never inside it. Voting takes one tap and no account; publishing a tip needs one, because tips are an immutable record.
Separate truth lane
01 / fan pulse
Who wins?
0 votes
02 / reasoned tips
Tipster notebook
0 published
Selections lock 30 minutes before kickoff. Original tips cannot be rewritten after publication.
Model boundary: votes and community tips never change OddsPadi probability, edge, confidence, publication status, or model accuracy.
The full bar is 100% of the model's 1X2 distribution. Evidence quality is shown separately so confidence is not confused with probability.
T. Yamanaka
57%
S. Petrov
43%
Evidence quality86%
Historical evidenceHistorical calibration range
Not available
No statistical band is shown.
No selected runtime probability is available for an empirical calibration interval.
Model evidence
Evidence for the public candidate
fragile
The canonical public candidate differs from the engine's primary trace for another selection. This view keeps their evidence separate instead of borrowing another market's factors.
Probability journeyT. Yamanaka
12
1
Fair market chance59%
2
Model chance57%
T. Yamanaka is 57% in the final model versus 59% from the margin-free market, a -2.7% edge and -7.8% raw price EV before publication gates. Its canonical state is no clear value.
Model and calibration provenance
Historical evidence model
tennis-surface-elo-v5
Runtime parity
exact runtime parity
Engine version
decision-engine-v2
Learning profile
shadow-only
Calibration
inactive
Historical sample
2,041
Held-out sample
611
Normalized Brier
0.220
Log loss
0.629
Calibration error
0.019
Player-form coverage
Not established
Training player form
Not established
Holdout player form
Not established
Latest real-data backtest remains shadow-only: holdout yield is not positive; closing-line value is not positive; runtime replay lacks a valid training-only market-prior scaling policy; runtime replay lacks a valid training-only empirical value guard policy; runtime replay lacks a valid empirical value guard holdout comparison; runtime replay lacks a valid training-only segment value guard policy; runtime replay lacks a valid segment value guard holdout comparison; training-only economic selection policy abstains; current calibration drift receipt is stale: 0/30 exact out-of-sample outcomes are available..
Live outcome calibration: Probability calibration remains inactive until a real-data backtest receives explicit live-guardrail promotion.
Player-form coverage uses only provider-capable fixtures and requires acceptable or strong chronology-safe history in both training and holdout windows. Normalized Brier averages squared probability error across the market outcomes; lower is better. Calibration error measures the weighted gap between forecast probability and observed frequency.
Canonical gates
Why this candidate has its current status
Publication state
no clear value
Evidence quality
thin
Data quality
86%
Raw price EV
-7.8%
uncalibrated publication needs at least 5% raw edge and 4% raw EV until a calibration profile is promoted
confidence is below the value-pick threshold
engine action is avoid
calibration requires abstention
engine actionability is blocked
6 additional gates remain closed.
Market analysis
“Value edge” is our probability minus the bookmaker's fair probability (margin removed). Positive edge means the price is better than it should be. Current best edge: -2.7%.
Market
Selection
Odds
Bookmaker
Model
Raw implied
No-vig implied
Margin
No-vig edge
EV
Match winner
T. Yamanaka
1.63
Pncl
57%
61%
59%
+8.0%
-2.7%
-7.8%
Match winner
S. Petrov
2.30
Pncl
43%
43%
41%
+8.0%
+2.7%
-0.1%
Match winnerT. Yamanaka
1.63
Model chance
57%
Fair market
59%
Edge
-2.7%
Expected value
-7.8%
Price details
Bookmaker
Pncl
Raw implied
61%
Bookmaker margin
+8.0%
Match winnerS. Petrov
2.30
Model chance
43%
Fair market
41%
Edge
+2.7%
Expected value
-0.1%
Price details
Bookmaker
Pncl
Raw implied
43%
Bookmaker margin
+8.0%
Model market board
Every market the model prices for this fixture, from one scoreline distribution. Selections without a live bookmaker quote show the model probability only — a probability is not a betting recommendation.
Match winner (1X2)
T. Yamanaka57% @ 1.63
S. Petrov43% @ 2.30
Set Handicap
model only — no live price
home sets35%
away sets65%
Total Games
model only — no live price
over80%
under20%
Odds movement and freshness
Decision generated
Price expires
Verified price tapeMatch Winner movement
214 stored snapshots
T. Yamanaka1.60 to 1.63drifted 0.03
S. Petrov2.20 to 2.30drifted 0.10
Decimal odds from stored pre-match provider snapshots. Lower odds mean the market has strengthened that outcome; higher odds mean it has weakened. This is observed movement, not proof that the move is correct.
OddsPadi explanation
OddsPadi estimates T. Yamanaka at 57% and S. Petrov at 43%. The current prices do not show a clear positive value edge, so the responsible call is to avoid forcing a pick.
The model weighs ratings, recent form, attack and defensive strength.
Bookmaker margin is removed where possible before value edge is calculated.
Confidence stays cautious when the edge is weak or data quality is limited.
Sports outcomes are uncertain. Predictions are model estimates, not guarantees.
Methodology and technical details
Model family
Two-way probability model
Version
tennis-surface-elo-v5
Generated
Evidence cutoff
Calibration
provisional
Basis
Pre-match
Probabilities are the model's own estimate; market probabilities remove the bookmaker margin where the market supports it. Full methodology and the promotion gates a model must pass are on the engine page.