2026 Bikini Olympia Odds Board
The projected finishing order for Bikini, 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 |
Maureen Blanquisco
 Philippines
|
78.7 | → 0 | Improving form |
4 weeksW41: #1, W42: #1, W43: #1, W44: #1
|
| #2 |
Jasmine Gonzalez
 United States
|
74.9 | → 0 | Stable form |
4 weeksW41: #2, W42: #2, W43: #2, W44: #2
|
| #3 |
Aimee Delgado
United States
|
74.6 | → 0 | Cooling off |
4 weeksW41: #3, W42: #3, W43: #3, W44: #3
|
| #4 |
Lauralie Chapados
United States
|
73.9 | → 0 | Cooling off |
4 weeksW41: #4, W42: #4, W43: #4, W44: #4
|
| #5 |
Elisa Pecini
 Brazil
|
63.7 | → 0 | Improving form |
4 weeksW41: #5, W42: #5, W43: #5, W44: #5
|
| #6 |
Ivi Escandar
 Argentina
|
62.7 | → 0 | Stable form |
4 weeksW41: #6, W42: #6, W43: #6, W44: #6
|
| #7 |
Phoebe Hagan
 United Kingdom
|
62.3 | → 0 | Improving form |
4 weeksW41: outside top 20, W42: #7, W43: #7, W44: #7
|
| #8 |
Ashley Kaltwasser
United States
|
58.5 | → 0 | Cooling off |
4 weeksW41: #7, W42: #8, W43: #8, W44: #8
|
| #9 |
India Paulino
United States
|
56.4 | → 0 | Cooling off |
4 weeksW41: #8, W42: #9, W43: #9, W44: #9
|
| #10 |
Ashlyn Little
United States
|
55.5 | → 0 | Cooling off |
4 weeksW41: #9, W42: #10, W43: #10, W44: #10
|
| #11 |
Maria Acosta
United States
|
52.8 | → 0 | Cooling off |
4 weeksW41: #10, W42: #11, W43: #11, W44: #11
|
| #12 |
Zsofia Molnar
 Hungary
|
44.0 | → 0 | Improving form |
4 weeksW41: #11, W42: #12, W43: #12, W44: #12
|
| #13 |
Reyna Perez Mecalco
 Mexico
|
43.0 | → 0 | Stable form |
4 weeksW41: #12, W42: #13, W43: #13, W44: #13
|
| #14 |
Angelica Teixeira
United States
|
42.6 | → 0 | Improving form |
4 weeksW41: #13, W42: #14, W43: #14, W44: #14
|
| #15 |
Helaine DeTomasi
United States
|
42.5 | → 0 | Stable form |
4 weeksW41: outside top 20, W42: outside top 20, W43: #15, W44: #15
|
| #16 |
Janean Priest
United States
|
42.3 | → 0 | Cooling off |
4 weeksW41: #14, W42: #15, W43: #16, W44: #16
|
| #17 |
Janine Herrera
United States
|
41.5 | → 0 | Stable form |
4 weeksW41: #15, W42: #16, W43: #17, W44: #17
|
| #18 |
Jourdanne Lee
 Canada
|
39.3 | → 0 | Improving form |
4 weeksW41: #16, W42: #17, W43: #18, W44: #18
|
| #19 |
Sally-Anne Kato
 Japan
|
38.8 | → 0 | Cooling off |
4 weeksW41: #17, W42: #18, W43: #19, W44: #19
|
| #20 |
Viktoria Csicsayova
Hungary
|
38.6 | New | Improving form |
4 weeksW41: outside top 20, W42: outside top 20, W43: outside top 20, W44: #20
|
What moved the numbers
No rank changed since last week. The board only moves when a new contest result enters the database, so a quiet week between shows is the normal state, not a stalled page.
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.