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	351.5	11248	58th
Goals	0.75	24	50th
Assists	0.62	20	69th
Saves	1.28	41	41st
Shots	2.84	91	75th
Demos	1.38	44	80th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	351.5	#412 / 1215	#57 / 164
Goals	0.75	#455 / 1215	#67 / 164
Assists	0.62	#297 / 1215	#41 / 164
Saves	1.28	#488 / 1215	#79 / 164
Demos	1.38	#184 / 1215	#25 / 164

56% of the season is played (32 → ~57 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 (58 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	11248	20036	19984	19984	19831 – 20137
Goals	24	43	43	44	36 – 50
Assists	20	36	35	35	29 – 41
Saves	41	73	73	74	64 – 83
Shots	91	162	160	162	147 – 174
Demos	44	78	77	78	67 – 86
MVPs	9	16	15	15	11 – 20

From 27 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	405.9
Avg boost	50.8
Boost stolen / game	549.1
% time at 0 boost	10.1%
Avg speed (uu/s)	1472.3
% supersonic	10.8%
% time high in air	4.9%
Avg distance to ball	3039.5
% time attacking third	20.2%
Demos / game	1.3
Demos taken / game	0.9
Shooting %	23.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Rival	58	0.98	0.59	1.36	430
S26	Rival	27	0.7	0.59	1.22	406

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	0.7	0.79	0.73 – 0.84
Assists/game	0.59	0.57	0.51 – 0.61
Saves/game	1.22	1.24	1.11 – 1.31
Shots/game	2.96	2.71	2.59 – 2.92

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
Wavy	S23	Rival	0.81	0.6	1.23	0.75
Jmh187-	S24	Rival	0.84	0.51	1.05	1.01
Kos	S24	Elite	0.75	0.52	1.25	1.03
Wavy	S25	Veteran	0.69	0.61	1.2	1.05
ChefHoffy	S26	Rival	0.72	0.66	1.5	1.08
Phelpsy	S24	Elite	0.84	0.6	1.36	1.09
Tyyphoon454	S13	Rival	0.83	0.58	1.17	1.10
Armando	S23	Veteran	0.72	0.55	1.3	1.12
Terx	S26	Veteran	0.68	0.5	1.0	1.13
Wavy	S26	Veteran	0.72	0.41	1.09	1.15

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.