Kovalchuk

Veteran - FA - 5-13 (0.278)
59 OVR
overall rating (0–100) · 18 games · how is this calculated?
Overall rating 59/100 Tier dominance: 7th (-1.4 SD) Projects as: Veteran Role: Anchor
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.

MVPs
2
11% of games
Shot %
31%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 321.78 5792
19th
Goals 0.61 11
23rd
Assists 0.44 8
23rd
Saves 1.56 28
70th
Shots 2.0 36
11th
Demos 0.22 4
2nd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points321.78 #638 / 1215 #110 / 170
Goals0.61 #684 / 1215 #104 / 170
Assists0.44 #648 / 1215 #105 / 170
Saves1.56 #206 / 1215 #41 / 170
Demos0.22 #925 / 1215 #133 / 170

Season projection

Medium confidence

56% of the season is played (18 → ~32 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 (38 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 5792 10297 10436 10436 10327 – 10544
Goals 11 20 20 21 15 – 25
Assists 8 14 15 15 11 – 19
Saves 28 50 49 50 42 – 56
Shots 36 64 67 70 58 – 75
Demos 4 7 11 9 7 – 15
MVPs 2 4 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 19 /100

From 18 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 344.9
Avg boost 46.9
Boost stolen / game 347.7
% time at 0 boost 10.7%
Avg speed (uu/s) 1491.8
% supersonic 12.0%
% time high in air 4.1%
Avg distance to ball 2757.5
% time attacking third 19.7%
Demos / game 0.2
Demos taken / game 0.8
Shooting % 28.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran4 0.51.251.25 408
S23Veteran26 1.080.651.5 384
S24Veteran12 0.580.171.83 356
S26Veteran18 0.610.441.56 345

Beyond RSC - lifetime & other play

External skill estimate: ~82 OVR High confidence — inferred from 505 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 59.
SourceGames RecordWin % Score/g
Lifetime (all)48152035-1861 52% 409
RSC (official)8146-22 68% 390
Non-RSC ranked 3v3505190-201 49% 357
Non-RSC other42291799-1638 52% 415

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.61 0.61 0.5 – 0.68
Assists/game0.44 0.44 0.38 – 0.49
Saves/game1.56 1.57 1.4 – 1.6
Shots/game2.0 2.08 1.92 – 2.25

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Drippin_Ice1 S26Prospect 0.580.391.48 0.81
Heca S20Veteran 0.580.331.67 1.02
xPotatodactylx S24Challenger 0.560.441.5 1.11
IVIGhost S19Rival 0.470.471.8 1.13
JoeExotic S24Rival 0.620.321.36 1.16
Nebulade S22Elite 0.560.51.75 1.16
ShxdwNyx S25Prospect 0.440.351.56 1.17
Mexalato S21Prospect 0.670.421.5 1.17
Python S25Master 0.770.51.59 1.17
Cob S13Rival 0.70.41.4 1.18

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.


Data source: live (rscna.com) - standings & schedule refresh hourly.