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 Amateur)

Stat	Per game	Total	Percentile in tier
Points	273.3	2733	36th
Goals	0.8	8	55th
Assists	0.1	1	4th
Saves	1.1	11	79th
Shots	2.2	22	57th
Demos	1.1	11	79th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	273.3	#845 / 1215	#30 / 61
Goals	0.8	#391 / 1215	#19 / 61
Assists	0.1	#925 / 1215	#45 / 61
Saves	1.1	#683 / 1215	#10 / 61
Demos	1.1	#327 / 1215	#10 / 61

69% of the season is played (10 → ~14 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 (84 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	2733	3826	3868	3868	3820 – 3916
Goals	8	11	11	11	9 – 14
Assists	1	1	2	2	1 – 3
Saves	11	15	15	15	12 – 18
Shots	22	31	31	30	26 – 35
Demos	11	15	15	14	12 – 17
MVPs	0	0	0	0	0 – 1

From 7 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	327.8
Avg boost	49.6
Boost stolen / game	353.6
% time at 0 boost	17.2%
Avg speed (uu/s)	1417.6
% supersonic	7.6%
% time high in air	1.0%
Avg distance to ball	2895.5
% time attacking third	21.3%
Demos / game	1.4
Demos taken / game	0.6
Shooting %	37.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Amateur	7	0.14	1.29	0.43	322
S22	Amateur	47	0.7	0.43	0.7	318
S24	Amateur	4	0.25	0.25	0.5	334
S25	Amateur	37	0.65	0.35	0.84	351
S26	Amateur	7	0.71	0.0	1.14	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	0.7	0.65	0.62 – 0.75
Assists/game	0.43	0.5	0.42 – 0.53
Saves/game	0.7	0.81	0.7 – 0.94
Shots/game	1.79	1.89	1.79 – 2.07

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
Russ	S26	Contender	0.7	0.35	0.65	0.96
im_link42	S25	Contender	0.65	0.5	1.0	1.16
Theman	S26	Contender	0.72	0.4	0.6	1.18
Mitzi	S26	Prospect	0.55	0.41	0.96	1.21
YERP_YERP02	S17	Amateur	0.6	0.5	0.73	1.29
Abeillonnaise	S24	Rival	0.68	0.46	0.91	1.31
Brillo_padd	S24	Challenger	0.76	0.36	0.76	1.33
Emily26210	S23	Amateur	0.7	0.57	0.57	1.34
FULLBL00DN8V	S25	Amateur	0.65	0.35	0.84	1.37
Nuummite	S20	Elite	0.64	0.5	1.0	1.40

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.