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	364.17	6555	69th
Goals	0.89	16	72nd
Assists	0.5	9	40th
Saves	1.56	28	78th
Shots	2.39	43	38th
Demos	0.67	12	21st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	364.17	#309 / 1215	#42 / 164
Goals	0.89	#261 / 1215	#38 / 164
Assists	0.5	#516 / 1215	#74 / 164
Saves	1.56	#206 / 1215	#30 / 164
Demos	0.67	#696 / 1215	#106 / 164

56% of the season is played (18 → ~32 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 (117 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	6555	11653	11554	11554	11442 – 11667
Goals	16	28	28	28	22 – 33
Assists	9	16	16	16	12 – 20
Saves	28	50	49	49	42 – 56
Shots	43	76	77	77	68 – 86
Demos	12	21	23	23	18 – 28
MVPs	5	9	8	8	5 – 11

From 14 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	407.1
Avg boost	54.8
Boost stolen / game	552.7
% time at 0 boost	8.9%
Avg speed (uu/s)	1619.2
% supersonic	17.2%
% time high in air	5.5%
Avg distance to ball	3078.2
% time attacking third	22.0%
Demos / game	0.6
Demos taken / game	0.9
Shooting %	35.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Rival	53	0.85	0.57	1.25	403
S25	Rival	64	0.77	0.33	1.59	376
S26	Rival	14	0.71	0.57	1.36	407

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	0.71	0.67	0.58 – 0.71
Assists/game	0.57	0.57	0.54 – 0.62
Saves/game	1.36	1.41	1.33 – 1.47
Shots/game	2.07	2.31	2.17 – 2.42

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
Skillz Issue	S24	Rival	0.72	0.55	1.51	0.59
bradyK-	S24	Elite	0.67	0.56	1.28	1.01
Frijole	S22	Master	0.61	0.67	1.44	1.07
Sangani	S26	Premier	0.58	0.67	1.42	1.14
taz.rm	S24	Elite	0.56	0.59	1.41	1.16
Nahzey	S23	Elite	0.5	0.67	1.39	1.22
oneplayamaker	S22	Veteran	0.76	0.67	1.41	1.24
ImSouperGreat	S26	Master	0.68	0.5	1.18	1.28
Justin	S25	Elite	0.69	0.45	1.33	1.28
Sean	S22	Premier	0.58	0.64	1.31	1.29

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.