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	274.1	2741	9th
Goals	0.3	3	7th
Assists	0.2	2	4th
Saves	1.8	18	93rd
Shots	1.3	13	2nd
Demos	0.5	5	8th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	274.1	#843 / 1215	#123 / 164
Goals	0.3	#901 / 1215	#126 / 164
Assists	0.2	#909 / 1215	#126 / 164
Saves	1.8	#69 / 1215	#9 / 164
Demos	0.5	#806 / 1215	#120 / 164

56% of the season is played (10 → ~18 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 (150 games across 5 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	2741	4934	5172	5172	5096 – 5248
Goals	3	5	7	8	4 – 10
Assists	2	4	5	5	2 – 7
Saves	18	32	31	30	25 – 36
Shots	13	23	28	28	22 – 34
Demos	5	9	11	12	7 – 15
MVPs	1	2	2	2	1 – 4

From 10 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	327.9
Avg boost	51.1
Boost stolen / game	394.6
% time at 0 boost	9.4%
Avg speed (uu/s)	1438.7
% supersonic	8.1%
% time high in air	4.7%
Avg distance to ball	2965.1
% time attacking third	17.7%
Demos / game	0.5
Demos taken / game	0.8
Shooting %	21.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Challenger	12	0.75	0.75	1.42	352
S22	Challenger	24	0.83	0.46	1.04	362
S23	Challenger	45	0.69	0.51	1.49	365
S24	Rival	17	0.53	0.71	1.35	358
S25	Rival	52	0.96	0.6	0.85	346
S26	Rival	10	0.3	0.2	1.8	328

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	0.3	0.38	0.31 – 0.45
Assists/game	0.2	0.27	0.25 – 0.36
Saves/game	1.8	1.62	1.43 – 1.75
Shots/game	1.3	1.62	1.38 – 1.75

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
M0USE_1	S23	Prospect	0.3	0.3	1.7	1.17
BRG	S21	Prospect	0.36	0.27	1.82	1.25
Nova_	S17	Elite	0.38	0.12	1.88	1.27
Razalgould	S19	Challenger	0.5	0.25	1.75	1.46
xLunarWolfx	S24	Challenger	0.38	0.3	1.42	1.48
Shraggaholic	S18	Contender	0.33	0.42	1.92	1.49
Lord Canadian	S21	Elite	0.35	0.35	1.47	1.55
ACDye2	S21	Challenger	0.21	0.36	1.79	1.60
B1scuit_Murder	S19	Prospect	0.42	0.33	1.42	1.60
Visilgris	S17	Challenger	0.25	0.38	1.62	1.63

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.