| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Auston Kim | 1% | 1¢ | 2¢ | — | $21K | Trade → |
| Mi Hyang Lee | 52% | 56¢ | 65¢ | — | $21K | Trade → |
| Erica Shepherd | 3% | 0¢ | 1¢ | — | $19K | Trade → |
| Ayaka Furue | 2% | 1¢ | 3¢ | — | $14K | Trade → |
| You Min Hwang | 1% | 0¢ | 2¢ | — | $12K | Trade → |
| Lindy Duncan | 3% | 0¢ | 2¢ | — | $9K | Trade → |
| Hye Jin Choi | 25% | 12¢ | 25¢ | — | $7K | Trade → |
| Rio Takeda | 11% | 1¢ | 12¢ | — | $7K | Trade → |
| Yu Liu | 1% | 0¢ | 11¢ | — | $5K | Trade → |
| Ruoning Yin | 1% | 0¢ | 1¢ | — | $4K | Trade → |
| Weiwei Zhang | 3% | 2¢ | 3¢ | — | $3K | Trade → |
| Aditi Ashok | 9% | 1¢ | 6¢ | — | $3K | Trade → |
| A Lim Kim | 2% | 4¢ | 17¢ | — | $3K | Trade → |
| Esther Henseleit | 1% | 0¢ | 1¢ | — | $2K | Trade → |
| Jenny Bae | 1% | 0¢ | 1¢ | — | $2K | Trade → |
| Dongeun Lee | 3% | 0¢ | 1¢ | — | $2K | Trade → |
| Zining An | 1% | 0¢ | 1¢ | — | $2K | Trade → |
| Aline Krauter | 1% | 0¢ | 1¢ | — | $1K | Trade → |
| Emma McMyler | 1% | 0¢ | 1¢ | — | $1K | Trade → |
| Mary Liu | 1% | 0¢ | 1¢ | — | $1K | Trade → |
| Alexa Pano | 4% | 0¢ | 1¢ | — | $938 | Trade → |
| Pornanong Phatlum | 1% | 0¢ | 1¢ | — | $646 | Trade → |
| Mimi Rhodes | 1% | 0¢ | 1¢ | — | $198 | Trade → |
| Celine Borge | 1% | 0¢ | 1¢ | — | $187 | Trade → |
| Pajaree Anannarukarn | 6% | 0¢ | 1¢ | — | $125 | Trade → |
| Laney Frye | 10% | 0¢ | 1¢ | — | $100 | Trade → |
| Hinako Shibuno | 10% | 0¢ | 1¢ | — | $93 | Trade → |
| Wei-Ling Hsu | 3% | 0¢ | 1¢ | — | $62 | Trade → |
| Carolina Melgrati | 10% | 0¢ | 1¢ | — | $57 | Trade → |
| Bailey Tardy | 9% | 0¢ | 1¢ | — | $22 | Trade → |
| Lucy Li | 10% | 0¢ | 1¢ | — | $7 | Trade → |
| Melanie Green | 10% | 0¢ | 1¢ | — | $1 | Trade → |
| Kum Kang Park | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Isi Gabsa | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Xinen Lin | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Xiaowen Yin | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Morgane Metraux | 0% | 0¢ | 10¢ | — | $0 | Resolved |
| Pannarat Thanapolboonyaras | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Ruixin Liu | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Chella Choi | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Chanettee Wannasaen | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Ana Belac | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Chiara Tamburlini | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Suvichaya Vinijchaitham | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Carolina Lopez-Chacarra Coto | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Gemma Dryburgh | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Camille Boyd | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Hailee Cooper | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Manon De Roey | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Mohan Du | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Leah John | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Moriya Jutanugarn | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Jeong Eun Lee5 | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Haeji Kang | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Benedetta Moresco | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Ziyan Meng | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Yijia Ren | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Supamas Sangchan | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Yuli Shi | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Sherman Santiwiwatthanaphong | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Riley Smyth | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Yahui Zhang | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Saki Baba | 0% | 0¢ | 1¢ | — | $0 | Resolved |
| Yanhong Pan | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Polly Mack | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Stephanie Meadow | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Xinyu Wang | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Jingwen Zhang | 0% | 0¢ | 1¢ | — | $0 | Resolved |
| Yuka Saso | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Gina Kim | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Briana Chacon | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Jenny Shin | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| MinJi Kang | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Anne Chen | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Dewi Weber | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Robyn Choi | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Frida Kinhult | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Yan Liu | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Erika Hara | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Jodi Ewart Shadoff | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Soo Bin Joo | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Yuna Nishimura | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Zixuan Wang | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Muni He | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Arpichaya Yubol | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Jing Yan | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Laetitia Beck | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Jaravee Boonchant | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Olivia Cowan | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Isabella Fierro | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Caley McGinty | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Bianca Pagdanganan | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Jessica Porvasnik | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Kate Smith-Stroh | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Michelle Zhang | 0% | 0¢ | 10¢ | — | $0 | Resolved |
| Madison Young | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Jiwon Jeon | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Haruka Morita-WanyaoLu | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Linnea Strom | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Tiffany Chan | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Yani Tseng | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Brianna Do | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Yujie Liu | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Kokona Sakurai | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Perrine Delacour | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Ssu-Chia Cheng | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Shuying Li | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Lauren Walsh | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Yana Wilson | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Ying Xu | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Xiang Sui | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Hira Naveed | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Danielle Kang | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Annie Park | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Leona Maguire | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Shiyuan Zhou | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Haya Lin | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Jasmine Suwannapura | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Peiyun Chien | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Yuai Ji | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Nastasia Nadaud | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Runzhi Pang | 0% | 0¢ | 1¢ | — | $0 | Resolved |
| Yuri Yoshida | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Albane Valenzuela | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Paula Reto | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Yaxuan Huang | 0% | 0¢ | 100¢ | — | $0 | Trade → |
This market asks which golfer will win the Blue Bay LPGA tournament; it matters because market prices aggregate traders' expectations about the eventual winner and respond quickly to new information.
The Blue Bay LPGA is an official LPGA Tour event played on a course whose layout and local conditions strongly influence scoring and strategy. Fields typically include a mix of top-ranked players and challengers, so past performance, course fit, and recent form are all relevant inputs for assessing contenders.
Market prices reflect the collective view of participants and update as news arrives (withdrawals, tee times, weather, etc.). Look at price movements over time to see how new information shifts the market rather than focusing on a single snapshot.
The listing shows 'Closes: TBD'; typically the market will close at or shortly before the tournament's first tee time and will settle once the LPGA confirms the official winner—watch the platform for the exact close timestamp.
Each outcome corresponds to a named player (or platform-specified option) who could win the Blue Bay LPGA; the outcome list can change before close if players withdraw or are added.
Settlement follows the LPGA's official result for the tournament; if a playoff determines the champion, the playoff winner is used for settlement—consult KALSHI's settlement rules for any platform-specific details.
Past success at the Blue Bay course can be informative because course familiarity and fit matter, but the market also weighs current form, injuries, and seasonal context, so historical wins are one factor among many.
Common catalysts include player withdrawals, injury updates, tee-time or pairing announcements, local weather forecasts, notable practice reports, and large trades from active accounts that shift liquidity.