Database

ORI RankingsBeta

Ranked by ORI Score โ€” an Elo-style rating computed from every graded gravel race in the database, weighted by how much that race counts. Athletes must have 5 race results in the period to be scored. Full methodology below. Amateur rankings coming soon!

Current ยท Last 12 Months2026 YTD202520242023202220212019
Elite Men
1๐Ÿ‡บ๐Ÿ‡ธ Keegan Swenson1097 ORI Score
12 races
2๐Ÿ‡บ๐Ÿ‡ธ Alexey Vermeulen1090 ORI Score
8 races
3๐Ÿ‡ณ๐Ÿ‡ด Simen Nordahl Svendsen1062 ORI Score
6 races
4๐Ÿ‡ฆ๐Ÿ‡บ Brendan Johnston1060 ORI Score
8 races
5๐Ÿ‡ฟ๐Ÿ‡ฆ Matthew Beers1058 ORI Score
8 races
6๐Ÿ‡บ๐Ÿ‡ธ Payson Mcelveen1058 ORI Score
7 races
7๐Ÿ‡ฆ๐Ÿ‡บ Lachlan Morton1054 ORI Score
7 races
8๐Ÿ‡บ๐Ÿ‡ธ Peter Stetina1048 ORI Score
12 races
9๐Ÿ‡บ๐Ÿ‡ธ Chad Haga1044 ORI Score
7 races
10๐Ÿ‡บ๐Ÿ‡ธ Cole Paton1043 ORI Score
6 races
11๐Ÿ‡บ๐Ÿ‡ธ Alex Wild1042 ORI Score
8 races
12๐Ÿ‡บ๐Ÿ‡ธ Griffin Easter1041 ORI Score
11 races
13๐Ÿ‡บ๐Ÿ‡ธ Russell Finsterwald1032 ORI Score
8 races
14๐Ÿ‡จ๐Ÿ‡ฆ Sean Fincham1031 ORI Score
8 races
15๐Ÿ‡บ๐Ÿ‡ธ Alex Howes1031 ORI Score
9 races
16๐Ÿ‡บ๐Ÿ‡ธ Zach Calton1025 ORI Score
9 races
17๐Ÿ‡จ๐Ÿ‡ฆ Adam Roberge1024 ORI Score
10 races
18๐Ÿ‡บ๐Ÿ‡ธ Tobin Ortenblad1023 ORI Score
11 races
19๐Ÿ‡บ๐Ÿ‡ธ Lance Haidet1022 ORI Score
10 races
20๐Ÿ‡บ๐Ÿ‡ธ Innokenty Zavyalov1022 ORI Score
7 races
21๐Ÿ‡ฎ๐Ÿ‡น Ethan Overson1019 ORI Score
8 races
22๐Ÿ‡บ๐Ÿ‡ธ Cameron Jones1019 ORI Score
7 races
23๐Ÿ‡บ๐Ÿ‡ธ John Borstelmann1017 ORI Score
7 races
24๐Ÿ‡จ๐Ÿ‡ฟ Petr Vakoc1014 ORI Score
7 races
25๐Ÿ‡บ๐Ÿ‡ธ Andrew Dillman1014 ORI Score
9 races
Show all 63 (38 more)26๐Ÿ‡บ๐Ÿ‡ธ Kyle Trudeau1013 ORI Score
10 races
27๐Ÿ‡บ๐Ÿ‡ธ Finn Gullickson1013 ORI Score
7 races
28๐Ÿ‡บ๐Ÿ‡ธ Taylor Lideen1012 ORI Score
6 races
29๐Ÿ‡บ๐Ÿ‡ธ Cobe Freeburn1011 ORI Score
7 races
30๐Ÿ‡จ๐Ÿ‡ฆ Andrew Lโ€™esperance1011 ORI Score
6 races
31๐Ÿ‡บ๐Ÿ‡ธ Stefano Barberi1010 ORI Score
10 races
32๐Ÿ‡บ๐Ÿ‡ธ Bradyn Lange1009 ORI Score
6 races
33๐Ÿ‡บ๐Ÿ‡ธ Dylan Johnson1008 ORI Score
8 races
34๐Ÿ‡บ๐Ÿ‡ธ Carson Beckett1006 ORI Score
5 races
35๐Ÿ‡ฎ๐Ÿ‡น Mattia De Marchi1003 ORI Score
5 races
36๐Ÿ‡บ๐Ÿ‡ธ Harrison Biehl1002 ORI Score
7 races
37๐Ÿ‡บ๐Ÿ‡ธ Caleb Swartz1001 ORI Score
5 races
38๐Ÿ‡ฆ๐Ÿ‡บ Connor Sens1001 ORI Score
6 races
39๐Ÿ‡บ๐Ÿ‡ธ Joe Goettl998 ORI Score
6 races
40๐Ÿ‡บ๐Ÿ‡ธ Elliott Baring997 ORI Score
5 races
41๐Ÿ‡บ๐Ÿ‡ธ Daxton Mock997 ORI Score
7 races
42๐Ÿ‡ฆ๐Ÿ‡บ John Davis994 ORI Score
7 races
43๐Ÿ‡บ๐Ÿ‡ธ Cody Cupp993 ORI Score
8 races
44๐Ÿ‡บ๐Ÿ‡ธ Truman Glasgow991 ORI Score
8 races
45๐Ÿ‡บ๐Ÿ‡ธ Chase Wark991 ORI Score
7 races
46๐Ÿ‡บ๐Ÿ‡ธ Cassius Anderson986 ORI Score
6 races
47๐Ÿ‡บ๐Ÿ‡ธ Ryan Johnson983 ORI Score
5 races
48๐Ÿ‡บ๐Ÿ‡ธ Ryan Bennett982 ORI Score
9 races
49๐Ÿ‡บ๐Ÿ‡ธ Peter Hogan975 ORI Score
5 races
50๐Ÿ‡บ๐Ÿ‡ธ Matt Pike974 ORI Score
5 races
51๐Ÿ‡บ๐Ÿ‡ธ Ted King972 ORI Score
6 races
52๐Ÿ‡บ๐Ÿ‡ธ Griffin Hoppin972 ORI Score
7 races
53๐Ÿ‡บ๐Ÿ‡ธ Cory Greenberg971 ORI Score
8 races
54๐Ÿ‡บ๐Ÿ‡ธ Brennan Wertz969 ORI Score
6 races
55๐Ÿ‡ณ๐Ÿ‡ด Jonas Orset968 ORI Score
7 races
56๐Ÿ‡บ๐Ÿ‡ธ Michael Garrison964 ORI Score
6 races
57๐Ÿ‡บ๐Ÿ‡ธ Nathan Spratt962 ORI Score
7 races
58๐Ÿ‡บ๐Ÿ‡ธ Keiran Eagen954 ORI Score
6 races
59๐Ÿ‡บ๐Ÿ‡ธ Eric Colindres951 ORI Score
5 races
60๐Ÿ‡บ๐Ÿ‡ฌ Jordan Schleck941 ORI Score
6 races
61๐Ÿ‡บ๐Ÿ‡ธ Marc Spratt938 ORI Score
6 races
62๐Ÿ‡บ๐Ÿ‡ธ Blane Maddox933 ORI Score
5 races
63๐Ÿ‡บ๐Ÿ‡ธ Jake Oswald918 ORI Score
5 races
Elite Women
1๐Ÿ‡ฆ๐Ÿ‡ท Sofia Gomez Villafane1098 ORI Score
12 races
2๐Ÿ‡บ๐Ÿ‡ธ Melisa Rollins1080 ORI Score
7 races
3๐Ÿ‡บ๐Ÿ‡ธ Paige Onweller1073 ORI Score
7 races
4๐Ÿ‡บ๐Ÿ‡ธ Cecily Decker1071 ORI Score
12 races
5๐Ÿ‡บ๐Ÿ‡ธ Lauren De Crescenzo1062 ORI Score
8 races
6๐Ÿ‡บ๐Ÿ‡ธ Sarah Lange1055 ORI Score
7 races
7๐Ÿ‡ณ๐Ÿ‡ฑ Geerike Schreurs1051 ORI Score
5 races
8๐Ÿ‡บ๐Ÿ‡ธ Erin Huck1050 ORI Score
6 races
9๐Ÿ‡ต๐Ÿ‡ฑ Karolina Migon1049 ORI Score
7 races
10๐Ÿ‡บ๐Ÿ‡ธ Alexis Skarda1048 ORI Score
11 races
11๐Ÿ‡จ๐Ÿ‡ฆ Haley Smith1045 ORI Score
7 races
12๐Ÿ‡บ๐Ÿ‡ธ Hannah Otto1043 ORI Score
9 races
13๐Ÿ‡บ๐Ÿ‡ธ Lauren Stephens1043 ORI Score
6 races
14๐Ÿ‡บ๐Ÿ‡ธ Michaela Thompson1042 ORI Score
7 races
15๐Ÿ‡บ๐Ÿ‡ธ Heather Jackson1039 ORI Score
8 races
16๐Ÿ‡บ๐Ÿ‡ธ Jenna Rinehart1037 ORI Score
10 races
17๐Ÿ‡บ๐Ÿ‡ธ Deanna Mayles1035 ORI Score
9 races
18๐Ÿ‡บ๐Ÿ‡ธ Sarah Sturm1031 ORI Score
6 races
19๐Ÿ‡บ๐Ÿ‡ธ Crystal Anthony1031 ORI Score
10 races
20๐Ÿ‡ช๐Ÿ‡ธ Morgan Aguirre1028 ORI Score
5 races
21๐Ÿ‡บ๐Ÿ‡ธ Erin Osborne1022 ORI Score
6 races
22๐Ÿ‡บ๐Ÿ‡ธ Flavia Oliveira Parks1019 ORI Score
8 races
23๐Ÿ‡บ๐Ÿ‡ธ Whitney Allison1018 ORI Score
10 races
24๐Ÿ‡บ๐Ÿ‡ธ Ellen Campbell1018 ORI Score
6 races
25๐Ÿ‡บ๐Ÿ‡ธ Emily Newsom1016 ORI Score
11 races
Show all 37 (12 more)26๐Ÿ‡ฆ๐Ÿ‡บ Cassia Boglio1013 ORI Score
6 races
27๐Ÿ‡บ๐Ÿ‡ธ Emma Grant1011 ORI Score
5 races
28๐Ÿ‡บ๐Ÿ‡ธ Maude Farrell1009 ORI Score
5 races
29๐Ÿ‡บ๐Ÿ‡ธ Stella Hobbs1007 ORI Score
6 races
30๐Ÿ‡บ๐Ÿ‡ธ Kate Cross1005 ORI Score
8 races
31๐Ÿ‡บ๐Ÿ‡ธ Leah Van Der Linden997 ORI Score
9 races
32๐Ÿ‡บ๐Ÿ‡ธ Marisa Boaz997 ORI Score
6 races
33๐Ÿ‡บ๐Ÿ‡ธ Caroline Wreszin996 ORI Score
6 races
34๐Ÿ‡บ๐Ÿ‡ธ Caroline Tory990 ORI Score
7 races
35๐Ÿ‡บ๐Ÿ‡ธ Peta Mullens985 ORI Score
7 races
36๐Ÿ‡บ๐Ÿ‡ธ Isabel King978 ORI Score
5 races
37๐Ÿ‡บ๐Ÿ‡ธ Hannah Shell974 ORI Score
8 races
Methodology

How the ORI Score works

Every race is a chance to prove how you stack up โ€” not just against whoever else showed up that day, but against the entire sport. A rider who wins their age group at a small local race and a rider who wins their age group at Unbound accomplished very different things. Counting wins or podiums canโ€™t tell them apart. The ORI Score can, because it accounts for exactly who you raced and how much that race counts for.

An Elo rating, built race by race

Chess players have used Elo since 1960 to rate players who never all play each other, using only the games that actually happened. We apply the same math to racing. Every rider starts a ranking period at a baseline of 1000. Then, in chronological order, we replay that periodโ€™s races. For each finisher, we compare them โ€” one at a time โ€” against everyone else in their comparison field:

expected(you vs. rival) = 1 / (1 + 10^((rivalโ€™s score โˆ’ your score) / 400))

Thatโ€™s the probability, given current scores, that youโ€™d beat that specific rival. Average it across the whole field and you get your expected result for that race โ€” essentially, what your rating predicted youโ€™d finish. Then we look at what actually happened:

actual(you) = e^(โˆ’k ร— (your place โˆ’ 1))

1st place always scores a perfect 1.00. After that, every place is worth a consistent percentage less than the one before it โ€” not equal steps, a curve: 2nd is worth about 95% of a win, 3rd about 90%, 10th about 63%. Thatโ€™s deliberate โ€” a simpler โ€œpercentileโ€ formula barely told winning apart from a strong-but-not-quite result in a big field. Under this one, winning is worth meaningfully more than almost winning, at any field size. Your rating then moves by:

change = K ร— field-weight ร— race weight ร— (actual โˆ’ expected)

Beat your prediction and your score climbs; underperform it โ€” even finishing near the front of a field your rating predicted youโ€™d win โ€” and it drops. K is a flat 32 for every race. The race weight is the ORI Grade below.

field-weight = min(1, (finishers โˆ’ 1) / D)ย ย ย D = 70 (men) or 37 (women)

The field-weight discounts small fields โ€” a 2-person race canโ€™t move your score as much as a real championship field can โ€” capping out at full weight once a field is deep enough. โ€œDeep enoughโ€ is different for menโ€™s and womenโ€™s fields, since womenโ€™s fields are consistently smaller across the sport: a menโ€™s field reaches full weight around 70 finishers, a womenโ€™s field around 37.

Race weight: not every race counts the same

Every graded race carries an ORI Grade โ€” HC, 1, 2, 3, or 4 โ€” reflecting its depth of field and standing in the sport. A strong result at an HC race moves your score more than the identical result at a Grade 4 race would.

HC ร—2.0ย ย ย Grade 1 ร—1.25ย ย ย Grade 2 ร—0.75ย ย ย Grade 3 ร—0.5ย ย ย Grade 4 ร—0.25

Three kinds of ranking period

Current is a rolling window covering your last twelve months of racing โ€” it updates continuously and always reflects recent form. YTD covers the calendar year in progress, from January 1st through today โ€” unlike Current it resets every New Yearโ€™s rather than rolling forward day by day. Calendar Year rankings lock in once a year is fully over, as a permanent record of how that season played out. Every rider starts every kind of period at the 1000 baseline โ€” nothing here is a continuation of the year before.

Only your best 5 results count โ€” but you need at least 5

You need at least 5 results in a division within a period to be ranked at all โ€” enough races to say something real about where you stand. Once you clear that bar, only your 5 best results (the ones that moved your score up the most) count toward your final score for that period; the race count shown next to your score is your full qualifying total, not just those 5.

Elite and Amateur: same math, different comparison basis

For an Elite result, youโ€™re scored on your place within the Elite/Pro field itself. For an Amateur or Open result, youโ€™re scored on your place across the entire gender field for that race โ€” Elite, Amateur, and Open riders combined โ€” since thatโ€™s the truest measure of who you actually beat. A race with no Elite/Pro category at all counts as Open, and Open results count toward both an Elite and an Amateur ranking: a rider with a mix of Elite, Amateur, and Open results in a period can hold both rankings simultaneously. Within Amateur, youโ€™re shown against your own age bracket โ€” assigned once per period, based on your age as of that period, not race by race.

Why this handles field quality automatically

A โ€œfield strengthโ€ number never needs to be computed separately โ€” itโ€™s built into the rating of everyone else on the start line. Beat a field of previously-unrated riders and your score barely moves. Beat a field that includes riders whoโ€™ve already proven themselves against Elite fields elsewhere, and it moves a lot. This is also how an amateur racing in an Open category at a small race that happens to include a pro or two gets full credit for it โ€” the proโ€™s rating (built from their Elite results elsewhere) raises that specific fieldโ€™s difficulty, which raises what the amateur earns for finishing near them.

Why we show a race count next to every score

Elites race the same small pool of people repeatedly across a period, so their ratings converge quickly and reliably. Amateurs in the same age bracket might only cross paths once or twice a year โ€” a score built on 5 races is a lot less certain than one built on 20. Read a fast-rising score with a low race count as promising, not proven.

Amateur rankings coming soon!