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	267.52	7223	30th
Goals	0.93	25	74th
Assists	0.52	14	64th
Saves	0.7	19	30th
Shots	1.85	50	40th
Demos	0.81	22	60th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Amateur
Points	267.52	#863 / 1215	#33 / 61
Goals	0.93	#229 / 1215	#12 / 61
Assists	0.52	#503 / 1215	#17 / 61
Saves	0.7	#908 / 1215	#33 / 61
Demos	0.81	#583 / 1215	#19 / 61

69% of the season is played (27 → ~39 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	7223	10433	10513	10428 – 10599
Goals	25	36	36	31 – 41
Assists	14	20	20	16 – 24
Saves	19	27	28	23 – 32
Shots	50	72	73	66 – 80
Demos	22	32	31	27 – 36
MVPs	1	1	2	1 – 3

From 22 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	287.0
Avg boost	45.5
Boost stolen / game	395.7
% time at 0 boost	9.5%
Avg speed (uu/s)	1358.0
% supersonic	5.1%
% time high in air	1.8%
Avg distance to ball	3113.8
% time attacking third	19.1%
Demos / game	0.8
Demos taken / game	1.1
Shooting %	48.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Rival	2	0.0	0.0	0.5	218
S26	Amateur	22	0.96	0.46	0.73	287

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	0.95	0.78	0.73 – 0.91
Assists/game	0.46	0.45	0.42 – 0.51
Saves/game	0.73	0.84	0.7 – 0.91
Shots/game	1.91	1.94	1.77 – 2.22

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
TechnikMusic	S17	Amateur	0.98	0.47	0.82	1.11
RL Camaro	S24	Amateur	0.91	0.44	0.8	1.15
Chulainn	S13	Rival	0.9	0.6	0.6	1.22
Rocci	S17	Amateur	0.95	0.42	0.81	1.25
Wollyz	S17	Amateur	0.75	0.45	0.8	1.26
SolarToaster	S13	Amateur	0.82	0.59	0.69	1.26
Godsfarm	S17	Amateur	0.88	0.43	0.57	1.31
IamDMachinee	S13	Amateur	0.79	0.45	0.9	1.31
Made By Miraj	S13	Prospect	0.73	0.36	0.91	1.31
ASAPxLEG	S22	Amateur	0.78	0.45	0.9	1.36

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.