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	436.44	6983	98th
Goals	0.88	14	69th
Assists	1.31	21	98th
Saves	1.44	23	76th
Shots	3.06	49	89th
Demos	0.81	13	41st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	436.44	#29 / 1215	#3 / 161
Goals	0.88	#275 / 1215	#40 / 161
Assists	1.31	#4 / 1215	#2 / 161
Saves	1.44	#325 / 1215	#32 / 161
Demos	0.81	#587 / 1215	#78 / 161

60% of the season is played (16 → ~27 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	6983	11784	11396	11293 – 11499
Goals	14	24	23	18 – 28
Assists	21	35	33	27 – 38
Saves	23	39	38	32 – 44
Shots	49	83	80	72 – 89
Demos	13	22	22	18 – 27
MVPs	4	7	6	4 – 9

From 12 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	425.4
Avg boost	56.0
Boost stolen / game	663.9
% time at 0 boost	12.9%
Avg speed (uu/s)	1504.9
% supersonic	12.0%
% time high in air	4.7%
Avg distance to ball	2978.6
% time attacking third	22.0%
Demos / game	0.2
Demos taken / game	0.8
Shooting %	20.6%

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	0.67	0.75	0.62 – 1.0
Assists/game	1.5	1.12	1.06 – 1.38
Saves/game	1.58	1.46	1.31 – 1.62
Shots/game	3.17	3.12	2.83 – 3.46

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
TunZ	S18	Veteran	0.81	1.44	1.31	2.31
DIS_BANANA_MANcondra	S21	Premier	1.0	1.25	1.42	2.45
Dread.	S21	Veteran	1.12	1.5	1.75	2.53
maisie	S25	Elite	0.5	1.17	1.58	2.60
mojomo	S21	Elite	0.5	1.0	1.62	2.70
Gizmo	S21	Elite	0.58	1.33	1.58	2.70
Kaisaroh	S22	Elite	1.12	1.31	1.44	2.74
J.	S17	Veteran	0.58	1.0	1.75	2.75
Avid	S18	Veteran	0.69	1.12	1.75	2.78
Cazzuto	S14	Veteran	0.73	1.09	1.46	2.78

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.