garisha — CS2 Stats

76561198165883115[U:1:205617387]

2,812Tracked matches54%Win rate2021Tracked since
CSDB Rating5.6 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGgarishaFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning37
Utility72

0–100 skill scores via Leetify.

Recent form

COLD56395Last 10056%Win rateLTWWLWLLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.7
Aggression3.1
Utility7.2
Positioning3.7
Opening Duels0.0

Strong CT-side openerEffective flashes

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 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower positioning 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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 36% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning3.7
Utility7.2
Mechanics5.3
Opening Duels0.7
Win Impact6.2

Composite 5.6/10 (Solid), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time531ms−36ms
first ⅓ avg 568ms → last ⅓ avg 531ms
Headshot accuracy16.8%+0.5%
first ⅓ avg 16.3% → last ⅓ avg 16.8%

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

0.12Best rating — dust2 13–10
130Biggest win — mirage
7Longest win streak
68In matches decided by ≤2 rounds

Map breakdown

trainBest map · 80% over 10ancientWeakest map · 45% over 20
MapGradePlayedRecordWin rateAvg rating
ancientB2091145%-0.02
cacheA1811761%-0.03
dust2A1810856%-0.00
mirageA149564%0.00
anubisB115645%-0.02
trainS108280%0.01
inferno42250%-0.03
nuke220100%-0.02
overpass2020%-0.03
vertigo1010%-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.5%Headshot accuracy
35.7%Accuracy (enemy spotted)
38.3%Spray accuracy
74.0%Counter-strafing
7.7°Preaim
533msReaction time
13.3%T opening success
35.6%CT opening success
0.79Enemies flashed / flash
8.9%Flash assists
10.07HE damage / grenade
13.79Flashes / 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

    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 13.3221% — below the 40% mark we flag

Spend your practice time on Ancient

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

45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.087%28 Aug
ancient12–120.0311%28 Aug
train13–1-0.0210%27 Aug
anubis13–11-0.0422%27 Aug
ancient8–13-0.0516%27 Aug
cache13–9-0.052%27 Aug
ancient11–130.0315%27 Aug
mirage11–130.0122%27 Aug
dust24–130.0616%27 Aug
anubis8–13-0.0412%27 Aug
ancient11–13-0.0118%25 Aug
train13–10.0240%25 Aug
mirage13–10-0.0112%25 Aug
dust212–12-0.0719%25 Aug
anubis9–13-0.0913%25 Aug
cache13–9-0.0418%25 Aug
ancient13–10.0725%24 Aug
nuke13–9-0.0112%24 Aug
inferno2–10-0.1010%24 Aug
inferno1–13-0.0610%24 Aug
overpass6–13-0.0513%24 Aug
anubis13–90.0230%24 Aug
mirage13–10.0530%24 Aug
ancient13–6-0.0211%24 Aug
train13–2-0.0150%24 Aug
cache13–9-0.0313%24 Aug
dust213–70.0018%24 Aug
ancient11–13-0.0915%22 Aug
mirage13–5-0.0111%22 Aug
dust24–130.0012%22 Aug
cache9–13-0.045%21 Aug
inferno13–40.0230%21 Aug
ancient7–13-0.0510%21 Aug
mirage13–00.018%21 Aug
overpass9–13-0.0220%21 Aug
dust22–13-0.0426%21 Aug
ancient11–130.028%20 Aug
dust212–12-0.1311%20 Aug
cache13–5-0.0418%20 Aug
mirage12–12-0.0515%20 Aug
ancient0–6-0.0450%20 Aug
anubis13–70.0017%17 Aug
dust213–90.0224%17 Aug
cache13–4-0.0119%17 Aug
ancient5–130.0613%17 Aug
mirage6–130.0231%17 Aug
cache13–11-0.0516%17 Aug
dust213–9-0.0517%17 Aug
train13–00.089%17 Aug
cache6–13-0.0710%12 Aug
vertigo6–13-0.1017%12 Aug
cache13–9-0.0113%12 Aug
train13–70.0127%12 Aug
nuke13–8-0.0214%11 Aug
ancient13–60.019%11 Aug
anubis11–13-0.0410%11 Aug
cache5–13-0.0416%11 Aug
mirage13–3-0.0112%11 Aug
dust213–20.0413%11 Aug
train13–7-0.0118%11 Aug
cache13–70.0821%10 Aug
mirage13–90.0314%10 Aug
dust213–100.1218%10 Aug
ancient13–5-0.0110%10 Aug
cache8–13-0.0820%8 Aug
dust22–00.03100%8 Aug
ancient13–10-0.0820%8 Aug
cache9–13-0.0110%6 Aug
anubis13–50.0614%6 Aug
dust20–3-0.130%6 Aug
dust23–00.020%6 Aug
mirage13–30.0217%6 Aug
ancient13–6-0.0523%6 Aug
cache13–80.005%6 Aug
train6–13-0.0217%6 Aug
mirage12–12-0.0638%6 Aug
inferno13–10.0214%5 Aug
ancient13–11-0.0314%5 Aug
anubis8–130.0121%5 Aug
mirage13–10-0.0419%5 Aug
train13–0-0.0211%5 Aug
cache13–40.0212%5 Aug
dust24–130.0410%5 Aug
train13–110.0221%2 Aug
anubis13–11-0.0418%2 Aug
dust213–10.1034%2 Aug
anubis6–13-0.0817%2 Aug
ancient13–9-0.0112%2 Aug
mirage6–130.0018%2 Aug
ancient0–20.000%1 Aug
ancient1–9-0.149%1 Aug
dust29–13-0.0418%1 Aug
cache8–13-0.0514%1 Aug
mirage13–40.0334%1 Aug
anubis7–130.0122%31 Jul
ancient13–2-0.0321%31 Jul
train11–130.0524%31 Jul
dust213–8-0.0328%31 Jul
dust213–20.0216%31 Jul
cache13–5-0.035%31 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →