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	384.7	7694	81st
Goals	0.8	16	55th
Assists	0.5	10	40th
Saves	1.85	37	95th
Shots	2.4	48	41st
Demos	0.8	16	33rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	384.7	#191 / 1215	#25 / 164
Goals	0.8	#391 / 1215	#60 / 164
Assists	0.5	#516 / 1215	#74 / 164
Saves	1.85	#58 / 1215	#7 / 164
Demos	0.8	#595 / 1215	#91 / 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 (204 games across 4 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	7694	13849	13650	13650	13526 – 13774
Goals	16	29	29	29	23 – 34
Assists	10	18	18	19	14 – 23
Saves	37	67	64	63	56 – 73
Shots	48	86	87	88	77 – 97
Demos	16	29	30	32	24 – 36
MVPs	5	9	9	9	6 – 12

From 4 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	356.4
Avg boost	42.2
Boost stolen / game	502.0
% time at 0 boost	14.3%
Avg speed (uu/s)	1510.6
% supersonic	11.9%
% time high in air	3.7%
Avg distance to ball	2878.1
% time attacking third	22.9%
Demos / game	1.2
Demos taken / game	1.8
Shooting %	45.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Prospect	28	1.25	0.46	1.25	357
S23	Challenger	56	0.98	0.52	1.21	385
S24	Rival	61	0.48	0.64	1.46	375
S25	Rival	59	0.64	0.71	1.17	366
S26	Rival	20	0.8	0.5	1.85	346

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	0.8	0.75	0.68 – 0.84
Assists/game	0.5	0.53	0.5 – 0.59
Saves/game	1.85	1.67	1.61 – 1.75
Shots/game	2.4	2.44	2.35 – 2.54

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
DyLon37	S19	Challenger	0.75	0.5	1.75	0.57
Headshotn	S24	Veteran	0.9	0.62	1.79	0.86
Classy	S23	Veteran	0.72	0.65	1.75	0.95
Packers	S23	Master	0.8	0.6	1.64	0.99
Saucy Rexy	S26	Master	0.73	0.42	1.58	1.06
Ninjatron	S25	Veteran	0.67	0.53	1.61	1.11
steel.reserve	S23	Veteran	0.75	0.52	1.6	1.12
Swax	S21	Master	0.73	0.36	1.64	1.13
Escape_Plan1	S24	Veteran	0.92	0.5	1.6	1.13
Nebulade	S22	Elite	0.56	0.5	1.75	1.16

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.