NO DATA YET

Paper agent has not settled any bets yet. Calibration data populates automatically as Kalshi markets resolve. Check back after the first round completes.

0 Total Bets
None Settled
+0.0% ROI
+$0.00 P&L
WIN RATE BY SIGNAL STRENGTH

CONFIRMED edges (books + model agree) should outperform MODEL ONLY edges. If they don't, the book consensus isn't adding real value.

No settled bets yet — signal data populates as markets resolve.

Signal Win Rate % W/L Volume
MODEL PROBABILITY vs ACTUAL WIN RATE

When the DataGolf model says 30%, do YES contracts actually resolve ~30% of the time? A well-calibrated model hugs the diagonal.

Expected (model midpoint)
Actual win rate

No settled bets yet.

Model Prob Bucket Bar (grey=expected, colored=actual) Actual Expected Diff W/L
WIN RATE BY EDGE BUCKET

Larger edges should win more often — or they shouldn't be trusted. Grouped by market type and edge size.

No settled bets yet — data populates as markets resolve.

Market Type Edge Bucket Win Rate Bar Win % W/L
PERFORMANCE BY MARKET TYPE

Which market types are generating real edge vs noise? P&L is from the paper agent's simulated $250 bankroll.

No data yet.

Market Bets Settled Win Rate Avg Edge P&L
CLOSING LINE VALUE (CLV)

CLV measures whether you consistently get better prices than where markets close. Positive avg CLV is the purest proof of edge — independent of outcome variance.

CLV data accumulates as markets settle. Requires closing prices recorded at market resolution.

HOW TO READ THIS

Calibration tells you if the model's confidence is justified — not just whether it's profitable.

GOOD SIGNAL

Actual win rate tracks close to model probability bucket. The 30% bucket wins ~30% of the time. Edges are real and the model is honest.

WATCH FOR

High edge buckets with low win rates suggest model overconfidence. Small sample sizes (n < 20) make any bucket unreliable — wait for more data.

Avg predicted edge: 0.0%  ·  Total wagered: $0.00  ·  Overall win rate: 0.0% (None/None settled)

System Health
DATA SOURCE STATUS

Monitors ESPN, Kalshi, and DataGolf feeds. Alerts fire via webhook + email when a source goes down during a live event.

⚠ 3 degradation events recorded this session

TimeSourcesIssues
Jun 9, 2026 11:04 AM ET✓ ESPN: LIVE✓ KALSHI: LIVE✗ DATAGOLF: DOWNDataGolf predictions DOWN
Jun 3, 2026 1:06 AM ET✓ ESPN: LIVE✓ KALSHI: LIVE✗ DATAGOLF: DOWNDataGolf predictions DOWN
Jun 2, 2026 11:13 AM ET✓ ESPN: LIVE✓ KALSHI: LIVE✗ DATAGOLF: DOWNDataGolf predictions DOWN