# 2027 The Masters Champion

DataSnack's model puts this at 17% seven days from now (7 Nov 2026); the market's number (Kalshi) is 16%. It has no graded forecasts yet; the first is graded on 12 Nov 2026.

## DataSnack's read

**Scheffler's lead is real but capped by a deep field of champions**

A 16% favorite shows how little a single name can own in a closed Masters field. The model's case rests on Scheffler's recent move giving back part of its size, leaving 15% in seven days. Watch 2027-04-25 close.

## The numbers

- The market's number (Kalshi) now: 16% ([the market](https://kalshi.com/markets/kxpgatour))
- DataSnack's model, seven days from now: 17%
- The market closes: 25 Apr 2027
- How it resolves: If Scottie Scheffler wins the Masters Tournament, then the market resolves to Yes.
- Record: It has no graded forecasts yet; the first is graded on 12 Nov 2026.
- Replay on the last 41 days: off by 3.2 points against 3.6 points for standing still; closer on 22 of 41 days
- Fitted on 49 days of history

## How the model works

Scheffler's chance has tended to give back part of its recent 3-day move over the next week, so the model starts from today's price and adds that reversal.

- After a 3-day move in Scheffler's chance, the market tends to reverse about -0.398 in log-odds of it over the following week. DataSnack's author expected -0.43 in log-odds; the data say -0.398 in log-odds ± 0.22, fitted on the same days the replay scores. A rough rule.

## Sources

- 2027 The Masters Champion · Scottie Scheffler: 16% on 10 Nov 2026

## The record

It has no graded forecasts yet; the first is graded on 12 Nov 2026.

Waiting for their day:

- Made 5 Nov 2026 for 12 Nov 2026: 15%
- Made 6 Nov 2026 for 13 Nov 2026: 15%
- Made 7 Nov 2026 for 14 Nov 2026: 17%
- Made 8 Nov 2026 for 15 Nov 2026: 16%
- Made 9 Nov 2026 for 16 Nov 2026: 18%
- Made 10 Nov 2026 for 17 Nov 2026: 16%

## Questions

**What is DataSnack's forecast?** DataSnack's model says 17% seven days from now.

**What is the market's number?** The market's number (Kalshi) is 16%.

**How does the model work?** It is an explicit equation fitted on data, with every link and source listed above. DataSnack's agents propose changes every night, and a replay against real data decides what is kept.

**How accurate has it been?** It has no graded forecasts yet; the first is graded on 12 Nov 2026. DataSnack's overall record is at https://datasnack.ai/accuracy.

**Can I download the model?** Readers who cover this market can export the model as an Excel workbook with working formulas from its page. A free example workbook: https://datasnack.ai/site/labs/datasnack-tariff-mortgage-lab.xlsx.

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Canonical: https://datasnack.ai/m/ch:58c5e5f091d7 · Updated 7 Nov 2026 04:54 UTC · DataSnack forecasts are analysis, not investment advice.