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	360.85	7217	65th
Goals	0.6	12	26th
Assists	0.4	8	20th
Saves	1.95	39	95th
Shots	2.65	53	63rd
Demos	1.25	25	74th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	360.85	#339 / 1213	#47 / 164
Goals	0.6	#684 / 1213	#98 / 164
Assists	0.4	#710 / 1213	#106 / 164
Saves	1.95	#44 / 1213	#6 / 164
Demos	1.25	#238 / 1213	#33 / 164

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 (53 games across 1 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	7217	12991	12911	12911	12790 – 13032
Goals	12	22	22	23	17 – 27
Assists	8	14	15	15	11 – 19
Saves	39	70	67	66	59 – 76
Shots	53	95	95	94	84 – 105
Demos	25	45	44	46	37 – 51
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	361.0
Avg boost	41.3
Boost stolen / game	504.9
% time at 0 boost	12.6%
Avg speed (uu/s)	1486.5
% supersonic	10.4%
% time high in air	2.9%
Avg distance to ball	2873.0
% time attacking third	21.5%
Demos / game	1.2
Demos taken / game	1.2
Shooting %	22.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Rival	53	0.79	0.43	1.26	347
S26	Rival	20	0.6	0.4	1.95	361

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	0.6	0.67	0.61 – 0.71
Assists/game	0.4	0.47	0.36 – 0.5
Saves/game	1.95	1.75	1.73 – 1.84
Shots/game	2.65	2.57	2.42 – 2.78

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
kalten	S26	Elite	0.58	0.48	1.77	0.94
mr_marino_	S25	Veteran	0.71	0.47	2.14	1.08
Jaegie	S20	Rival	0.53	0.47	1.84	1.11
Yurrbo?	S22	Rival	0.85	0.3	1.85	1.12
Ghostie	S25	Rival	0.68	0.53	1.83	1.24
LC Spirit	S24	Elite	0.66	0.47	1.87	1.27
Crypt1cGames	S17	Challenger	0.62	0.31	1.69	1.30
CHAZZtheDR	S19	Rival	0.5	0.5	1.75	1.32
ShoddyWolfman	S23	Rival	0.59	0.44	1.54	1.33
buckle	S26	Elite	0.62	0.62	2.0	1.35

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.