snax

snax — CS2 Stats

76561199084996280[U:1:1124730552]Steam profile ↗✓ No bans

156Tracked matches33%Win rate2023Tracked since
CSDB Rating4.7 DevelopingPositional Player
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim59
Positioning60
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY38557Last 10038%Win rateLWLLLLWWWW

Last 10 vs previous 10: +50pp win rate · +0.05 avg rating · +7.6pp headshot accuracy · +32ms reaction

Win rate up 50pp 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

  • 14 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 677ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 662ms

Last 20

  • 5123 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 646ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim5.9
Utility1.5
Positioning6.0
Opening Duels5.7
Clutch6.0

Limited utility dependence

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

donk

Plays most like donk 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 621ms 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

Aim5.9
Positioning6.0
Utility1.5
Mechanics6.7
Opening Duels4.8
Win Impact0.0

Composite 4.7/10 (Developing), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time622ms−42ms
first ⅓ avg 664ms → last ⅓ avg 622ms
Headshot accuracy18.2%−0.7%
first ⅓ avg 18.9% → last ⅓ avg 18.2%

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.

Personal bests

0.15Best match rating · 13–0 · inferno, 9 Aug
43%Best headshot accuracy · 6–13 · train, 8 Nov
469msFastest reaction time · 6–13 · ancient, 20 Aug
13–0Biggest win · inferno, 9 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
78In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 50% over 12ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageD2481633%-0.02
infernoB126650%0.00
dust2D124833%-0.02
cacheB115645%0.03
vertigoC94544%-0.05
ancientD81713%-0.03
trainC83538%0.02
anubisB63350%-0.02
nuke42250%0.01
overpass42250%-0.01
office2020%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.60Avg K/D
56.9ADR
56%Headshot %

Clutches & streaks

50%1v1 clutch win
100%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.436.0
Mirage10%0.7613.0

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.

18.7%Headshot accuracy
35.6%Accuracy (enemy spotted)
40.5%Spray accuracy
80.2%Counter-strafing
13.9°Preaim
621msReaction time
44.4%T opening success
54.3%CT opening success
0.24Enemies flashed / flash
2.0%Flash assists
5.62HE damage / grenade
1.38Flashes / 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 13.8566° — above the 12° 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 0.2383 — below the 0.5 mark we flag

    Grenade Lineups
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–130.0321%15 Sept
mirage13–80.0721%15 Sept
cache3–13-0.0240%7 Sept
dust211–130.0429%5 Sept
anubis8–13-0.0520%5 Sept
nuke10–13-0.0422%2 Sept
cache13–50.0826%2 Sept
inferno13–70.0418%2 Sept
cache13–90.1125%2 Sept
anubis13–50.1316%1 Sept
ancient9–130.0422%1 Sept
mirage7–13-0.0026%30 Aug
inferno9–13-0.0215%30 Aug
vertigo12–12-0.100%29 Aug
inferno12–12-0.0119%29 Aug
cache9–130.0124%29 Aug
ancient11–130.0013%29 Aug
mirage15–150.0318%27 Aug
dust28–13-0.1114%26 Aug
cache10–130.0611%26 Aug
office3–13-0.106%26 Aug
nuke13–70.0615%25 Aug
inferno6–130.0213%25 Aug
mirage3–13-0.0513%22 Aug
ancient6–13-0.0720%20 Aug
anubis13–11-0.089%18 Aug
train13–80.1018%15 Aug
ancient0–8-0.109%14 Aug
vertigo13–9-0.0417%14 Aug
train5–130.0029%14 Aug
anubis11–130.0218%14 Aug
ancient10–13-0.0316%13 Aug
nuke11–13-0.0420%13 Aug
train13–60.017%12 Aug
mirage7–13-0.0212%12 Aug
dust26–13-0.0722%12 Aug
inferno2–1-0.080%12 Aug
inferno13–9-0.0518%10 Aug
inferno13–00.1522%9 Aug
vertigo13–8-0.0530%9 Aug
anubis10–13-0.0512%9 Aug
mirage8–13-0.0321%9 Aug
mirage6–13-0.0118%8 Aug
mirage13–110.0719%7 Aug
dust213–5-0.0217%7 Aug
dust213–50.1223%7 Aug
train12–12-0.0526%4 Aug
overpass13–40.0117%4 Aug
ancient13–9-0.0423%3 Aug
anubis13–7-0.0613%2 Aug
overpass13–110.0332%2 Aug
cache13–30.0414%2 Aug
cache13–80.0620%2 Aug
mirage6–13-0.0318%31 Jul
vertigo5–13-0.1018%27 Jul
inferno8–130.0219%27 Jul
vertigo13–5-0.0821%26 Jul
mirage13–6-0.074%26 Jul
mirage13–9-0.0016%26 Jul
mirage7–13-0.065%26 Jul
dust210–13-0.0419%19 Jul
dust22–13-0.0617%19 Jul
overpass3–13-0.0338%11 Jul
dust25–13-0.0025%11 Jul
vertigo13–110.0111%11 Jul
mirage4–130.0112%11 Jul
cache13–2-0.0417%11 Jul
mirage6–130.0022%31 May
mirage10–13-0.0016%31 May
cache9–130.0410%31 May
cache4–13-0.0426%24 May
mirage6–13-0.0321%10 May
cache4–130.0412%10 May
mirage13–5-0.0616%22 Nov
overpass9–13-0.0310%22 Nov
inferno6–13-0.0518%21 Nov
office11–13-0.0311%21 Nov
dust213–10-0.0325%17 Nov
mirage13–50.0116%16 Nov
inferno13–110.0822%16 Nov
mirage11–6-0.0713%16 Nov
dust212–120.0225%16 Nov
dust24–13-0.0119%15 Nov
train11–130.0315%15 Nov
ancient2–13-0.0814%15 Nov
vertigo9–130.0319%14 Nov
mirage13–40.0630%14 Nov
inferno13–9-0.0724%11 Nov
mirage14–16-0.0311%11 Nov
ancient5–130.0420%8 Nov
train6–130.0443%8 Nov
mirage11–13-0.0421%8 Nov
train12–12-0.0120%7 Nov
vertigo12–12-0.0526%6 Nov
nuke13–80.0716%6 Nov
vertigo5–13-0.0417%4 Nov
dust213–9-0.0424%3 Nov
train13–110.0613%3 Nov
mirage10–13-0.0713%2 Nov
mirage9–13-0.0713%2 Nov

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 →