World Wide Technology Championship Winner

DataSnack has a model of this question but not yet enough data to forecast it; the market's number (Kalshi) is 0% (10 Nov 2026). It has no graded forecasts yet; the first is graded on 12 Nov 2026.

DataSnack's read

A settled playoff leaves the market pinned at its ceiling

A four-shot lead priced as chance until the last hole shows why golf leads are not results. The model's case rests on holding today's level, since only a leaderboard error would reverse Brown's playoff win.

The numbers

• The market's number (Kalshi) now: 0% (the market)
• DataSnack's model: not enough data to forecast yet
• The market closes: 22 Nov 2026
• How it resolves: If Blades Brown wins the World Wide Technology Championship, then the market resolves to Yes.
• Record: It has no graded forecasts yet; the first is graded on 12 Nov 2026.
• Fitted on 2 days of history

How the model works

With no history to measure, the model keeps Kirk's chance where it is. The event starts Thursday, so round scores will move the number far more than any catalogue series.

• The market's chance for Kirk carries about 0 in log-odds of its recent move forward, so with no news it stays near today's level. DataSnack's estimate, not yet tested on data.

Sources

• World Wide Technology Championship Winner · Chris Kirk: 0% 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: 11%
• Made 6 Nov 2026 for 13 Nov 2026: 12%
• Made 7 Nov 2026 for 14 Nov 2026: 1%
• Made 8 Nov 2026 for 15 Nov 2026: 4%
• Made 9 Nov 2026 for 16 Nov 2026: 1%
• Made 10 Nov 2026 for 17 Nov 2026: 1%

Questions

What is DataSnack's forecast? There isn't one yet: the model doesn't have enough data.

What is the market's number? The market's number (Kalshi) is 0%.

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.

Canonical: https://datasnack.ai/m/ch:40d756ad97bf · Updated 10 Nov 2026 05:00 UTC · DataSnack forecasts are analysis, not investment advice.