2026 Figure Olympia Odds Board
The projected finishing order for Figure, derived from the Fitness Volt Bodybuilding Database. It holds steady between contests and only shifts when new results land.
Model recalculated 26 Oct 2026
Projected finishing order
One row per contender, ordered by a strength-of-record score on a 1 to 99 scale. Change compares this week's rank with last week's saved board, so it reads zero in any week no new result landed. History opens the same athlete's rank in each of the last four weekly boards, and says so plainly when a week was never recorded rather than treating our gap as their absence. What the score is built from, and what it deliberately cannot know, is set out at the foot of the page.
| Rank | Athlete | Score | Change | Trend label | History |
|---|---|---|---|---|---|
| #1 |
Cydney Gillon
 United States
|
87.4 | → 0 | Stable form |
4 weeksW41: #1, W42: #1, W43: #1, W44: #1
|
| #2 |
Jessica Reyes Padilla
 Puerto Rico
|
77.6 | → 0 | Cooling off |
4 weeksW41: #3, W42: #3, W43: #2, W44: #2
|
| #3 |
Lola Montez
 Canada
|
77.6 | → 0 | Stable form |
4 weeksW41: #2, W42: #2, W43: #3, W44: #3
|
| #4 |
Denise Zwinger-Tynek
 Germany
|
76.9 | → 0 | Cooling off |
4 weeksW41: #4, W42: #4, W43: #4, W44: #4
|
| #5 |
Cherish Richardson
United States
|
64.5 | → 0 | Cooling off |
4 weeksW41: #5, W42: #5, W43: #5, W44: #5
|
| #6 |
Rhea Gayle
 United Kingdom
|
59.9 | → 0 | Cooling off |
4 weeksW41: #6, W42: #6, W43: #6, W44: #6
|
| #7 |
Lena Ramsteiner
Germany
|
54.2 | → 0 | Cooling off |
4 weeksW41: #7, W42: #7, W43: #7, W44: #7
|
| #8 |
Jennifer Zienert
Germany
|
52.9 | → 0 | Improving form |
4 weeksW41: #8, W42: #8, W43: #8, W44: #8
|
| #9 |
Maria Luisa Baeza Diaz
United States
|
47.6 | ↑ +1 | Improving form |
4 weeksW41: #10, W42: #9, W43: #10, W44: #9
|
| #10 |
Nataliya Terekhova
United States
|
46.2 | ↑ +1 | Stable form |
4 weeksW41: #11, W42: #11, W43: #11, W44: #10
|
| #11 |
Jeanette Martin
United States
|
46.0 | ↑ +1 | Stable form |
4 weeksW41: #13, W42: #13, W43: #12, W44: #11
|
| #12 |
KC
Kimmie Clark
United States
|
44.8 | New | Improving form |
4 weeksW41: #14, W42: outside top 20, W43: outside top 20, W44: #12
|
| #13 |
DP
Deshane Price
United States
|
43.8 | → 0 | Cooling off |
4 weeksW41: #15, W42: #10, W43: #13, W44: #13
|
| #14 |
Rita Villarreal
United States
|
40.5 | → 0 | Cooling off |
4 weeksW41: #16, W42: #14, W43: #14, W44: #14
|
| #15 |
Donya Jackson
United States
|
39.5 | → 0 | Cooling off |
4 weeksW41: #17, W42: #15, W43: #15, W44: #15
|
| #16 |
Lisa Hutchins
United States
|
39.2 | → 0 | Stable form |
4 weeksW41: #18, W42: #16, W43: #16, W44: #16
|
| #17 |
Marta Fonseca
United States
|
37.7 | → 0 | Stable form |
4 weeksW41: #19, W42: #17, W43: #17, W44: #17
|
| #18 |
Carolyn Hudson-Harris
United States
|
37.5 | → 0 | Cooling off |
4 weeksW41: #20, W42: #18, W43: #18, W44: #18
|
| #19 |
Sandra Grajales
 Mexico
|
34.6 | ↑ +1 | Cooling off |
4 weeksW41: outside top 20, W42: #20, W43: #20, W44: #19
|
| #20 |
Adrienne Matthews
United States
|
33.9 | New | Cooling off |
4 weeksW41: outside top 20, W42: outside top 20, W43: outside top 20, W44: #20
|
What moved the numbers
- ↑ +1 Maria Luisa Baeza Diaz to #9
- ↑ +1 Nataliya Terekhova to #10
- ↑ +1 Jeanette Martin to #11
- ↑ +1 Sandra Grajales to #19
Where each athlete finished in their last three recorded contests in this division. This is the input that changes most often, so it is usually what moved a rank.
Every recorded appearance at this contest in this division, read as an average and a best placement. A long record at the show counts for more than a single strong year.
Wins as a share of contests entered from 2024 onward. It separates an athlete who wins the shows they enter from one who simply enters a lot of them.
Athletes with no current competitive activity are marked down, so a retired champion cannot sit at the top of a board about a contest they are not entering.
A model, not a tip sheet
This board is a data-derived power ranking. It reads the contest results already in the database and orders the field by what that record says. It is not a betting line and it does not know anything about the contest that has not happened yet.
- No betting market feeds in. No bookmaker price, no handle, no line movement is used or referenced anywhere in the calculation.
- Built from recorded results only. Every figure comes from placements already in the Fitness Volt Bodybuilding Database. Nothing on this page is hand-entered, so a corrected result moves the board.
- First-time qualifiers are systematically underranked. The model reads placement history at this contest, and an athlete making their debut has none to read.
- It settles nothing about the contest. A board is a description of the record going in, and the record is not the result.
Questions about this board
How often is the board saved?
Once a week. A snapshot is written every Monday at 03:00 UTC for each of the eight divisions tracked here, for the 2026 Olympia and the 2026 Arnold Classic. Everything in the Change column is measured against the snapshot from the Monday before.
Why do two different dates appear on this page?
Because they are two different facts and collapsing them would present one as the other. The Updated date in the data panel under the page title is when the underlying contest data was last refreshed. The recalculated date in the header is when this board was last computed from it. They are often a day or two apart.
Why has nothing moved?
The board reads recorded contest results and nothing else, so it only moves when a result enters the database. Between shows the ranks are meant to sit still. A week of zeroes in the Change column is the board working, not the page failing to load.
How far back does the history go?
Twelve weeks are kept and older snapshots are deleted, and the History column opens the most recent four. A week that was never snapshotted is labelled as not recorded, so it cannot be misread as an athlete dropping off the board.
Why is a name missing?
Each weekly board stores the top 20 for the division, so anyone the model scores below that is on the model's list but not on this table. The predictions page publishes the wider field and explains how the score is built.
Can I bet on this?
It is not built for that and it is not a price. Read the four points above: no market data reaches this board and it knows nothing about the contest that has not happened yet.