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 Prospect)

Stat	Per game	Total	Percentile in tier
Points	299.0	10166	27th
Goals	0.71	24	43rd
Assists	0.44	15	33rd
Saves	1.12	38	40th
Shots	1.97	67	20th
Demos	1.21	41	77th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	299.0	#759 / 1215	#96 / 161
Goals	0.71	#547 / 1215	#75 / 161
Assists	0.44	#660 / 1215	#89 / 161
Saves	1.12	#665 / 1215	#80 / 161
Demos	1.21	#262 / 1215	#30 / 161

60% of the season is played (34 → ~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 (71 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	10166	17043	17181	17181	17048 – 17315
Goals	24	40	40	41	34 – 47
Assists	15	25	26	25	20 – 31
Saves	38	64	64	64	56 – 72
Shots	67	112	114	115	103 – 125
Demos	41	69	68	66	59 – 76
MVPs	3	5	5	5	3 – 8

From 32 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	360.1
Avg boost	48.9
Boost stolen / game	505.8
% time at 0 boost	10.8%
Avg speed (uu/s)	1478.4
% supersonic	11.0%
% time high in air	5.2%
Avg distance to ball	3183.0
% time attacking third	21.4%
Demos / game	1.2
Demos taken / game	1.1
Shooting %	36.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Rival	16	0.94	0.56	1.0	355
S23	Rival	4	0.25	1.0	1.0	296
S24	Challenger	55	0.71	0.36	1.24	328
S26	Prospect	32	0.72	0.47	1.16	360

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	0.72	0.68	0.63 – 0.75
Assists/game	0.47	0.46	0.41 – 0.49
Saves/game	1.16	1.15	1.09 – 1.19
Shots/game	1.97	2.12	2.04 – 2.3

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
vAirwick	S23	Rival	0.71	0.4	1.14	0.57
Whiffy_RL	S22	Challenger	0.83	0.46	1.04	0.70
StephM2_	S23	Amateur	0.71	0.41	1.1	0.74
Braamse	S24	Veteran	0.58	0.47	1.17	0.75
Irozuh-	S18	Challenger	0.67	0.5	1.17	0.78
Kiwi	S22	Veteran	0.65	0.54	1.04	0.79
Chung	S18	Rival	0.64	0.55	1.18	0.80
korndoguwu	S24	Challenger	0.62	0.46	1.15	0.90
Enterprise15	S18	Amateur	0.86	0.49	0.95	0.92
Monteca	S25	Contender	0.77	0.43	1.16	0.94

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.