Shadow Grit — CS2 Stats

76561197998762535[U:1:38496807]

242Tracked matches56%Win rate2023Tracked since
CSDB Rating3.8 Learning
Ladder ranks via Leetify

Performance scores

Aim30
Positioning41
Utility39

0–100 skill scores via Leetify.

Recent form

COLD54388Last 10054%Win rateLTLWWLWTLL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Aim3.0
Aggression2.6
Utility3.9
Positioning4.1
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 40% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 771ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim3.0
Positioning4.1
Utility3.9
Mechanics4.7
Opening Duels1.3
Win Impact6.9

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time764ms+40ms
first ⅓ avg 723ms → last ⅓ avg 764ms
Headshot accuracy19.2%+0.7%
first ⅓ avg 18.5% → last ⅓ avg 19.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.02Best rating — overpass 13–4
131Biggest win — cache
10Longest win streak
36In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC1771041%-0.07
cacheS128467%-0.06
anubisS118373%-0.06
dust2B115645%-0.06
ancientS96367%-0.04
overpassC94544%-0.04
nukeA95456%-0.08
infernoC83538%-0.06
trainC73443%-0.08
vertigoS54180%-0.06
shelter1010%-0.03
warden110100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
36%Win rate
0.66Avg K/D
ADR
34%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.0%Headshot accuracy
26.7%Accuracy (enemy spotted)
29.6%Spray accuracy
71.1%Counter-strafing
9.6°Preaim
771msReaction time
17.5%T opening success
40.5%CT opening success
0.47Enemies flashed / flash
0.9%Flash assists
7.08HE damage / grenade
9.41Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 770.7455ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.472 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 17.5312% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.1017%19 Aug
cache12–120.0125%19 Aug
inferno6–13-0.1029%9 Aug
anubis13–3-0.0815%9 Aug
ancient13–3-0.0130%9 Aug
dust25–13-0.1129%9 Aug
overpass13–10-0.0619%31 Jul
train12–12-0.0813%31 Jul
dust27–13-0.0723%31 Jul
cache8–13-0.0419%24 Jul
anubis13–10-0.0715%24 Jul
cache13–10.0118%15 Jul
inferno13–6-0.0833%15 Jul
nuke13–3-0.0513%13 Jul
shelter12–12-0.0315%9 Jul
nuke5–13-0.0929%26 Jun
mirage11–2-0.0950%26 Jun
cache13–9-0.079%26 Jun
anubis13–11-0.0814%8 Jun
nuke13–8-0.059%8 Jun
dust213–7-0.0822%7 Jun
mirage13–80.0117%7 Jun
mirage7–13-0.0811%7 Jun
train13–5-0.0814%6 Jun
nuke8–13-0.0420%6 Jun
anubis13–6-0.0721%5 Jun
overpass5–13-0.0118%5 Jun
mirage7–13-0.0717%5 Jun
overpass14–16-0.0115%1 Jun
dust213–16-0.0313%1 Jun
mirage2–13-0.0715%31 May
ancient10–13-0.0514%31 May
mirage8–13-0.1113%29 May
train12–12-0.0914%29 May
anubis12–12-0.0422%29 May
dust213–9-0.0417%29 May
cache13–8-0.1013%29 May
anubis13–8-0.0412%28 May
train13–6-0.0922%28 May
warden13–6-0.068%26 May
train13–3-0.0625%26 May
anubis13–10-0.0611%25 May
mirage13–10-0.080%24 May
nuke5–1-0.090%24 May
cache13–4-0.0322%24 May
dust28–13-0.0419%22 May
mirage13–16-0.0313%22 May
anubis13–11-0.0820%22 May
dust213–10-0.056%22 May
overpass13–8-0.0124%21 May
overpass13–8-0.1625%19 May
nuke13–6-0.100%19 May
dust212–12-0.076%15 May
vertigo4–13-0.1213%15 May
cache13–3-0.0511%14 May
cache13–10-0.0917%14 May
cache13–10-0.109%8 May
vertigo13–2-0.1022%8 May
cache8–13-0.1310%4 May
mirage8–13-0.0915%2 May
cache5–13-0.0621%1 May
cache13–10-0.0327%1 May
nuke9–13-0.1115%27 Apr
vertigo13–9-0.0322%25 Apr
vertigo13–9-0.0321%24 Apr
ancient13–2-0.110%24 Apr
inferno5–13-0.1010%24 Apr
ancient13–6-0.0520%24 Apr
overpass11–13-0.0730%24 Apr
ancient13–7-0.055%23 Apr
vertigo13–3-0.0121%22 Apr
anubis11–13-0.0811%22 Apr
dust27–13-0.0720%22 Apr
overpass12–12-0.0814%17 Apr
dust213–8-0.1011%17 Apr
mirage13–6-0.0422%15 Apr
mirage13–10-0.0811%13 Apr
nuke6–13-0.0711%11 Apr
anubis13–5-0.0615%4 Apr
train10–13-0.1050%4 Apr
inferno14–16-0.0327%22 Mar
nuke13–10-0.0920%8 Mar
inferno13–7-0.0722%8 Mar
ancient13–7-0.0027%8 Mar
inferno5–13-0.0420%15 Feb
mirage16–14-0.100%7 Feb
anubis9–13-0.0245%7 Feb
mirage13–3-0.070%6 Feb
inferno13–9-0.0213%19 Dec
overpass13–40.0215%14 Dec
mirage7–13-0.0518%7 Dec
ancient13–8-0.0214%7 Dec
mirage12–12-0.0527%28 Nov
ancient14–16-0.0619%27 Nov
dust213–90.019%15 Nov
mirage8–13-0.0321%14 Nov
ancient8–13-0.047%14 Nov
train4–13-0.0725%5 Oct
inferno10–13-0.0524%4 Oct
overpass11–130.0016%4 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →