gart

gart — CS2 Stats

76561198255613499[U:1:295347771]Steam profile ↗✓ No bans

343Tracked matches50%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 343
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 18,998 +3,014 11 May – 5 Jul · 27 days played
15,91519,999peak 19,99911 May5 Jul
19,999Peak Premier in tracked matches
39Days played since 2026-05-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim88
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLLLWWLLWWL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.8pp headshot accuracy · −32ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 573ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 588ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim8.8
Utility6.6
Positioning5.9
Opening Duels4.3
Clutch2.6

Sharp aimerExcellent counter-strafingEffective flashes

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 606ms 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

Aim8.8
Positioning5.9
Utility6.6
Mechanics9.0
Opening Duels3.6
Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time602ms−4ms
first ⅓ avg 606ms → last ⅓ avg 602ms
Headshot accuracy21.6%−1.9%
first ⅓ avg 23.5% → last ⅓ avg 21.6%

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.

Personal bests

0.19Best match rating · 6–13 · overpass, 5 Jun →
52%Best headshot accuracy · 4–13 · inferno, 26 May →
281msFastest reaction time · 0–13 · inferno, 11 Jun →
13–4Biggest win · ancient, 15 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
11–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 63% over 24nukeWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3016–1453%0.02
dust2A2415–963%0.04
infernoB179–853%0.02
ancientB115–645%0.03
nukeD60–60%0.03
cacheD51–420%-0.01
overpassD51–420%0.04
anubis—22–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
47%Win rate
1.38Avg K/D
96.8ADR
50%Headshot %

Clutches & streaks

33%1v1 clutch win
38%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage520%1.2420.0
Dust220%0.7011.0
Cache250%1.0020.0
Inferno250%2.0228.0
Train1100%1.8027.0
Nuke1100%1.7039.0

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.

21.0%Headshot accuracy
39.9%Accuracy (enemy spotted)
41.2%Spray accuracy
90.6%Counter-strafing
8.9°Preaim
606msReaction time
43.5%T opening success
45.6%CT opening success
0.72Enemies flashed / flash
10.3%Flash assists
11.00HE damage / grenade
16.54Flashes / match

Recommended for you

Spend your practice time on Nuke

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–130.0515%26 Sept →
inferno4–13-0.0412%26 Sept →
cache10–130.0018%26 Sept →
dust213–70.0323%26 Sept →
cache13–90.0424%25 Sept →
dust28–130.0421%25 Sept →
nuke7–130.0331%26 Jul →
dust216–140.0213%23 Jul →
mirage13–8-0.0019%23 Jul →
dust212–16-0.0217%20 Jul →
mirage13–50.0914%20 Jul →
ancient13–70.0819%19 Jul →
dust213–90.0314%19 Jul →
ancient13–70.0023%19 Jul →
dust213–160.0927%19 Jul →
cache13–16-0.0116%14 Jul →
mirage11–130.0019%13 Jul →
dust213–80.0730%13 Jul →
mirage13–160.0124%9 Jul →
inferno13–80.1616%8 Jul →
dust216–140.0319%5 Jul →
mirage7–13-0.0518%3 Jul →
inferno13–80.0436%3 Jul →
nuke9–130.0729%3 Jul →
mirage13–110.1221%3 Jul →
ancient8–130.1040%3 Jul →
inferno13–8-0.0121%3 Jul →
ancient9–130.0225%1 Jul →
dust27–13-0.0415%1 Jul →
mirage13–6-0.0414%1 Jul →
mirage12–16-0.0119%29 Jun →
dust213–90.1028%29 Jun →
dust213–50.0433%29 Jun →
mirage11–130.0023%28 Jun →
mirage10–130.0421%28 Jun →
ancient10–13-0.0214%28 Jun →
mirage7–13-0.098%27 Jun →
inferno13–110.0222%27 Jun →
dust213–80.0631%26 Jun →
inferno13–50.0724%26 Jun →
mirage13–70.0523%26 Jun →
mirage8–130.0714%23 Jun →
mirage13–110.0419%22 Jun →
dust213–160.0328%22 Jun →
nuke5–130.0419%22 Jun →
dust213–110.0429%16 Jun →
inferno14–160.0125%16 Jun →
overpass4–13-0.0319%16 Jun →
nuke6–13-0.0425%16 Jun →
ancient13–80.1019%12 Jun →
inferno10–13-0.0129%11 Jun →
inferno0–13-0.0333%11 Jun →
nuke6–130.0316%11 Jun →
ancient13–10-0.0314%11 Jun →
mirage10–130.0121%11 Jun →
ancient7–13-0.0434%10 Jun →
mirage11–130.0718%10 Jun →
inferno13–50.0423%8 Jun →
mirage13–11-0.0422%8 Jun →
anubis7–1-0.0114%7 Jun →
ancient9–130.0218%7 Jun →
dust213–100.0428%5 Jun →
overpass6–130.1930%5 Jun →
mirage6–130.0424%4 Jun →
anubis13–60.0522%29 May →
ancient10–130.0728%29 May →
overpass8–130.0124%29 May →
dust216–130.0619%29 May →
inferno6–13-0.0231%28 May →
mirage13–50.0927%28 May →
dust216–130.0321%28 May →
dust28–130.0126%28 May →
dust29–130.0524%28 May →
mirage16–12-0.0314%26 May →
inferno4–130.0152%26 May →
mirage13–110.0028%26 May →
overpass5–130.0126%25 May →
dust213–110.0623%25 May →
mirage11–130.0210%19 May →
inferno9–130.0730%19 May →
overpass13–110.0415%19 May →
mirage13–80.0123%19 May →
dust216–130.0921%17 May →
mirage13–90.0522%17 May →
mirage8–130.0025%15 May →
mirage13–70.0744%15 May →
ancient13–40.0717%15 May →
inferno13–90.0417%15 May →
mirage13–90.0213%14 May →
mirage13–90.0130%14 May →
mirage13–40.0619%14 May →
inferno13–70.0626%13 May →
dust26–130.0318%13 May →
mirage13–160.0720%13 May →
inferno13–11-0.0219%11 May →
dust27–13-0.0124%11 May →
cache4–13-0.0720%9 May →
cache8–13-0.0230%9 May →
dust213–6-0.0122%9 May →
inferno8–13-0.0120%8 May →

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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