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Ghidra — CS2 Stats

76561198315669353[U:1:355403625]✓ No bans

194Tracked matches39%Win rate2024Tracked since
CSDB Rating3.3 Learning
Ladder ranks via Leetify

Performance scores

Aim38
Positioning40
Utility16

0–100 skill scores via Leetify.

Recent form

COLD40–53–7Last 10040%Win rateLWLLWTLLWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim3.8
Aggression4.4
Utility1.6
Positioning4.0
Opening Duels0.2
Clutch0.0

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 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 629ms 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

Aim3.8
Positioning4.0
Utility1.6
Mechanics5.8
Opening Duels0.6
Win Impact1.4

Composite 3.3/10 (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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time640ms−63ms
first ⅓ avg 703ms → last ⅓ avg 640ms
Headshot accuracy11.9%−0.1%
first ⅓ avg 12.0% → last ⅓ avg 11.9%

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

0.05Best rating — ancient 13–8
13–2Biggest win — ancient
4Longest win streak
6–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageD226–1627%-0.04
anubisA159–660%-0.04
ancientD155–1033%-0.04
nukeD103–730%-0.05
infernoC83–538%-0.04
dust2D82–625%-0.03
vertigoB84–450%-0.04
trainS64–267%-0.06
cache—41–325%-0.07
overpass—22–0100%-0.06
basalt—11–0100%-0.02
edin—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.67Avg K/D
54.8ADR
10%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

11.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
31.1%Spray accuracy
76.1%Counter-strafing
12.3°Preaim
629msReaction time
27.0%T opening success
34.8%CT opening success
0.27Enemies flashed / flash
0.0%Flash assists
5.83HE damage / grenade
1.72Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2821° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.7645% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2722 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0512%27 Aug →
mirage13–100.0013%27 Aug →
anubis5–13-0.062%26 Aug →
cache3–13-0.053%26 Aug →
nuke13–11-0.0311%26 Aug →
mirage12–12-0.0311%26 Aug →
mirage10–13-0.088%26 Aug →
mirage11–13-0.0416%26 Aug →
cache13–3-0.0820%26 Aug →
mirage4–13-0.0613%20 Aug →
mirage10–13-0.0414%20 Aug →
dust210–130.027%20 Aug →
anubis13–10-0.0812%17 Aug →
ancient9–13-0.0314%17 Aug →
inferno13–3-0.0213%17 Aug →
mirage4–13-0.0513%13 Aug →
anubis13–9-0.0114%13 Aug →
cache7–13-0.0616%5 Aug →
nuke6–13-0.059%1 Aug →
mirage13–8-0.0115%1 Aug →
anubis6–13-0.0618%31 Jul →
inferno15–15-0.059%10 May →
cache8–13-0.110%29 Apr →
mirage11–13-0.0310%26 Apr →
dust211–130.0312%26 Apr →
ancient8–130.0211%24 Apr →
anubis13–100.0120%11 Apr →
dust213–11-0.0617%11 Apr →
anubis13–9-0.057%11 Apr →
anubis13–8-0.0013%10 Apr →
dust27–13-0.059%10 Apr →
overpass13–9-0.0615%10 Apr →
mirage10–13-0.0217%10 Apr →
mirage7–13-0.118%30 Mar →
nuke6–13-0.0713%30 Mar →
vertigo5–130.0113%13 Dec →
mirage8–13-0.063%12 Dec →
nuke11–13-0.0212%12 Dec →
nuke6–13-0.0713%3 Dec →
vertigo9–13-0.077%2 Dec →
ancient8–13-0.060%27 Nov →
anubis13–7-0.0911%25 Nov →
overpass13–6-0.065%24 Nov →
train5–13-0.1211%24 Nov →
basalt13–6-0.0215%20 Nov →
edin8–13-0.0513%20 Nov →
train13–7-0.0612%20 Nov →
train13–11-0.069%20 Nov →
train13–9-0.0211%19 Nov →
train6–2-0.0920%19 Nov →
train7–13-0.048%19 Nov →
ancient1–13-0.1113%19 Nov →
inferno13–90.038%19 Nov →
mirage14–160.018%9 Nov →
nuke13–5-0.0113%9 Nov →
mirage10–13-0.0811%6 Nov →
ancient13–16-0.0414%6 Nov →
vertigo13–11-0.0610%6 Nov →
nuke2–13-0.130%4 Nov →
mirage13–5-0.0011%4 Nov →
ancient4–13-0.0717%4 Nov →
inferno0–13-0.104%4 Nov →
mirage9–13-0.0915%2 Nov →
anubis13–11-0.0518%2 Nov →
anubis4–130.0116%2 Nov →
mirage4–130.0124%2 Nov →
nuke16–12-0.0510%2 Nov →
ancient13–80.0523%29 Oct →
ancient13–9-0.045%29 Oct →
inferno13–5-0.028%28 Oct →
dust215–15-0.0713%28 Oct →
ancient15–15-0.0711%28 Oct →
ancient3–13-0.0415%25 Oct →
mirage13–10-0.0111%24 Oct →
ancient13–2-0.0015%24 Oct →
mirage15–15-0.019%23 Oct →
ancient15–15-0.088%23 Oct →
ancient13–6-0.067%23 Oct →
nuke8–13-0.0611%23 Oct →
dust28–13-0.003%21 Oct →
vertigo13–3-0.026%21 Oct →
inferno9–13-0.0810%21 Oct →
nuke6–13-0.0410%20 Oct →
vertigo13–90.0217%19 Oct →
anubis11–8-0.0720%19 Oct →
inferno6–13-0.0414%19 Oct →
anubis11–13-0.026%19 Oct →
ancient13–16-0.045%16 Oct →
vertigo15–15-0.1015%16 Oct →
mirage13–11-0.0810%15 Oct →
vertigo3–13-0.0812%15 Oct →
vertigo13–10-0.016%13 Oct →
mirage10–13-0.0210%13 Oct →
anubis13–10-0.0913%13 Oct →
dust28–13-0.107%13 Oct →
ancient13–4-0.0126%13 Oct →
mirage13–2-0.0037%13 Oct →
dust213–40.0014%11 Oct →
anubis7–13-0.0811%11 Oct →
anubis4–13-0.0411%10 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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