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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	349.1	6982	50th
Goals	0.95	19	78th
Assists	0.35	7	11th
Saves	1.3	26	42nd
Shots	2.3	46	29th
Demos	0.95	19	47th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	349.1	#426 / 1213	#67 / 169
Goals	0.95	#214 / 1213	#29 / 169
Assists	0.35	#788 / 1213	#118 / 169
Saves	1.3	#466 / 1213	#77 / 169
Demos	0.95	#463 / 1213	#71 / 169

56% of the season is played (20 → ~36 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 (65 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	6982	12568	12583	12583	12462 – 12703
Goals	19	34	33	33	27 – 39
Assists	7	13	14	14	10 – 18
Saves	26	47	47	49	40 – 55
Shots	46	83	84	84	74 – 94
Demos	19	34	35	34	28 – 41
MVPs	3	5	5	5	3 – 8

From 20 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	307.6
Avg boost	51.0
Boost stolen / game	389.1
% time at 0 boost	10.0%
Avg speed (uu/s)	1475.4
% supersonic	8.3%
% time high in air	3.4%
Avg distance to ball	3049.8
% time attacking third	20.1%
Demos / game	1.0
Demos taken / game	1.2
Shooting %	43.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Challenger	8	0.5	0.38	0.75	291
S25	Challenger	57	0.77	0.7	1.81	313
S26	Veteran	20	0.95	0.35	1.3	308

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	0.95	0.89	0.81 – 0.93
Assists/game	0.35	0.41	0.35 – 0.43
Saves/game	1.3	1.25	1.18 – 1.42
Shots/game	2.3	2.49	2.35 – 2.56

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
NJ111_	S22	Rival	1.0	0.42	1.25	0.67
CF0UR_	S22	Challenger	0.94	0.34	1.25	0.95
Emily26210	S22	Amateur	0.74	0.32	1.21	0.98
Vaz1fy.	S25	Veteran	0.9	0.38	1.42	1.00
Pure_Pusher	S22	Challenger	1.0	0.42	1.15	1.05
ConfuciusDragon	S22	Prospect	0.92	0.42	1.25	1.06
Hanz Simmer	S24	Rival	0.81	0.45	1.14	1.07
VelesSkaza	S18	Rival	0.83	0.33	1.08	1.10
ShazamPoof	S22	Rival	0.91	0.36	1.18	1.10
NJ111_	S23	Rival	0.98	0.47	1.49	1.12

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.