How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Rival)

Stat	Per game	Total	Percentile in tier
Points	359.5	2157	64th
Goals	0.83	5	61st
Assists	0.5	3	40th
Saves	1.83	11	94th
Shots	2.0	12	18th
Demos	0.5	3	8th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	359.5	#345 / 1215	#48 / 164
Goals	0.83	#331 / 1215	#49 / 164
Assists	0.5	#516 / 1215	#74 / 164
Saves	1.83	#61 / 1215	#8 / 164
Demos	0.5	#806 / 1215	#120 / 164

56% of the season is played (6 → ~11 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (82 games across 2 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	2157	3954	3902	3902	3840 – 3965
Goals	5	9	9	9	6 – 12
Assists	3	6	6	5	3 – 8
Saves	11	20	19	18	15 – 23
Shots	12	22	23	23	18 – 28
Demos	3	6	7	6	4 – 10
MVPs	1	2	2	2	1 – 3

From 6 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	365.8
Avg boost	48.1
Boost stolen / game	426.5
% time at 0 boost	13.1%
Avg speed (uu/s)	1410.3
% supersonic	7.9%
% time high in air	4.2%
Avg distance to ball	3137.0
% time attacking third	20.1%
Demos / game	0.5
Demos taken / game	1.8
Shooting %	41.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Rival	57	0.86	0.53	1.05	392
S25	Rival	25	0.6	0.32	1.16	364
S26	Rival	6	0.83	0.5	1.83	366

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.86	0.88	0.82 – 0.94
Assists/game	0.53	0.53	0.5 – 0.58
Saves/game	1.05	1.07	0.98 – 1.19
Shots/game	2.53	2.66	2.53 – 2.75

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Ruthle	S20	Challenger	1.0	0.58	1.17	0.84
PoupSoup	S22	Rival	0.92	0.58	1.17	0.96
ChefHoffy	S25	Rival	0.83	0.58	1.19	1.05
Baltostorm	S24	Challenger	0.78	0.53	1.22	1.06
GFC-RAIDER	S26	Prospect	0.78	0.59	1.06	1.08
Pure_Pusher	S24	Challenger	0.9	0.57	0.91	1.11
PoupSoup	S24	Rival	0.7	0.48	1.24	1.12
Rich-Rollin6060	S20	Amateur	0.95	0.68	0.95	1.14
Rex	S23	Veteran	1.02	0.56	1.0	1.15
YRA	S20	Rival	0.8	0.67	1.13	1.17

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.