Snars — CS2 Stats

76561198104036119[U:1:143770391]✓ No bans

1,028Tracked matches48%Win rate2021Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating20,990Pink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#6459 of 16721 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGSnarsFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,990 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning52
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateWWLLLWTWLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.5
Aggression5.6
Utility6.1
Positioning5.2
Opening Duels2.4
Clutch2.6

Strong CT-side opener

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 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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 48% on CT to 31% 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

Aim7.5
Positioning5.2
Utility6.1
Mechanics6.0
Opening Duels2.4
Win Impact4.4

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time530ms−44ms
first ⅓ avg 574ms → last ⅓ avg 530ms
Headshot accuracy11.8%+0.9%
first ⅓ avg 10.9% → last ⅓ avg 11.8%

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

0.20Best rating — inferno 13–2
131Biggest win — ancient
6Longest win streak
W2Current streak
67In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 58% over 12ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2011955%0.03
cacheC167944%-0.01
ancientC156940%0.01
infernoA148657%0.04
anubisA127558%0.01
mirageC104640%-0.01
nukeC94544%0.05
train31233%-0.01
vertigo110100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

211Matches
52%Win rate
0.92Avg K/D
93.1ADR
31%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2475%1.3421.8
Inferno40%1.0316.0
Overpass475%1.0815.5
Cache450%1.2915.8
Mirage1100%2.0020.0
Anubis1100%1.1110.0

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.

11.9%Headshot accuracy
39.5%Accuracy (enemy spotted)
43.9%Spray accuracy
76.9%Counter-strafing
10.4°Preaim
529msReaction time
30.5%T opening success
48.3%CT opening success
0.55Enemies flashed / flash
7.6%Flash assists
9.13HE damage / grenade
10.94Flashes / 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 Crosshair

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

    Headshot accuracy 11.9166% — below the 15% mark we flag

    Aim Training
  2. 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 30.5389% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–110.006%28 Aug
cache13–60.0816%28 Aug
dust26–13-0.105%27 Aug
anubis7–130.028%27 Aug
dust210–130.0916%27 Aug
inferno13–40.1613%27 Aug
ancient15–150.0213%26 Aug
cache13–5-0.0416%26 Aug
mirage5–13-0.029%25 Aug
inferno5–130.0113%25 Aug
cache4–13-0.048%25 Aug
mirage14–160.019%25 Aug
cache13–70.0115%25 Aug
anubis13–20.0210%25 Aug
dust211–13-0.038%25 Aug
inferno13–9-0.0110%25 Aug
inferno9–13-0.0015%24 Aug
nuke13–8-0.020%24 Aug
cache7–130.0310%23 Aug
nuke9–130.0511%23 Aug
ancient7–13-0.046%23 Aug
cache13–50.0117%21 Aug
dust213–100.0424%21 Aug
inferno13–9-0.017%21 Aug
cache5–13-0.0314%21 Aug
inferno13–60.0418%20 Aug
dust26–130.0118%20 Aug
anubis13–110.0712%20 Aug
ancient13–10.0411%20 Aug
mirage9–13-0.0220%20 Aug
anubis14–16-0.046%19 Aug
ancient7–13-0.045%19 Aug
inferno13–90.0818%19 Aug
dust29–13-0.0916%18 Aug
ancient11–130.0613%18 Aug
anubis13–8-0.0212%18 Aug
cache13–40.0212%18 Aug
dust213–10.1715%18 Aug
anubis5–13-0.056%18 Aug
mirage13–7-0.0815%17 Aug
ancient8–13-0.068%17 Aug
anubis9–13-0.049%16 Aug
ancient10–13-0.005%16 Aug
dust210–130.016%16 Aug
cache1–13-0.064%16 Aug
dust25–13-0.057%16 Aug
mirage6–130.0214%15 Aug
train6–130.008%15 Aug
mirage13–11-0.0114%15 Aug
train13–80.0136%15 Aug
inferno10–13-0.038%14 Aug
cache2–13-0.0611%14 Aug
ancient13–110.027%14 Aug
cache13–80.0316%13 Aug
dust213–90.0511%12 Aug
anubis13–70.168%12 Aug
cache16–13-0.0111%12 Aug
nuke12–160.0410%12 Aug
inferno13–9-0.029%12 Aug
cache15–150.0917%11 Aug
dust214–160.0412%11 Aug
ancient13–40.0413%11 Aug
ancient12–16-0.005%10 Aug
anubis0–13-0.0320%9 Aug
dust213–20.0714%9 Aug
inferno12–120.028%9 Aug
dust213–80.1812%9 Aug
anubis13–90.0512%8 Aug
nuke13–90.1019%8 Aug
mirage13–8-0.006%8 Aug
dust28–13-0.0112%8 Aug
cache13–16-0.0510%7 Aug
cache3–13-0.0312%7 Aug
ancient12–16-0.009%7 Aug
mirage0–13-0.083%7 Aug
inferno13–30.1516%6 Aug
anubis13–70.009%6 Aug
nuke13–110.068%6 Aug
nuke13–80.179%5 Aug
vertigo13–9-0.0015%5 Aug
train2–13-0.0318%5 Aug
dust213–60.1217%4 Aug
mirage13–110.0810%4 Aug
nuke11–13-0.0115%3 Aug
ancient13–10-0.003%3 Aug
ancient16–130.1319%3 Aug
inferno13–20.2011%2 Aug
ancient13–10-0.016%2 Aug
dust216–130.0316%2 Aug
dust213–8-0.036%2 Aug
ancient7–13-0.048%2 Aug
inferno9–130.0112%1 Aug
dust213–70.0812%1 Aug
nuke4–130.0010%1 Aug
inferno8–130.0211%1 Aug
cache4–13-0.052%1 Aug
mirage7–13-0.0517%30 Jul
dust213–7-0.015%30 Jul
dust213–80.007%29 Jul
nuke11–130.0214%28 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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