-snicki

-snicki — CS2 Stats

CH76561198045581894[U:1:85316166]Steam profile ↗

521Tracked matches37%Win rate2021Tracked since
1,082Hours in CS
CSDB Rating4.2 DevelopingPassive Rifler
FaceitLevel 7 · 1,175 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GG-snickiFACEITLevel 7 · 1,175 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning36
Utility49

0–100 skill scores via Leetify.

Recent form

COLD45541Last 10045%Win rateWLLLWWLLLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim7.4
Aggression0.7
Utility4.9
Positioning3.6
Opening Duels0.0
Clutch3.2

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Reaction time. 573ms 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

Aim7.4
Positioning3.6
Utility4.9
Mechanics6.4
Opening Duels0.0
Win Impact0.6

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time576ms−37ms
first ⅓ avg 614ms → last ⅓ avg 576ms
Headshot accuracy21.4%−1.0%
first ⅓ avg 22.4% → last ⅓ avg 21.4%

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

0.09Best rating — fachwerk 10–13
132Biggest win — cache
6Longest win streak
410In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 69% over 16infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientB23111248%-0.01
nukeA169756%-0.01
cacheS1611569%-0.02
dust2D1431121%-0.03
anubisA117464%-0.01
infernoD61517%-0.03
mirage42250%0.01
overpass4040%-0.03
vertigo1010%-0.07
eldorado110100%0.02
debris1010%-0.10
fachwerk1010%0.09
shelter1010%-0.02
boulder1010%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,594Lifetime kills
1.10K/D · Top 50% of tracked players
2,605Matches
45.2%Match win rate
46.6%Headshot % · Top 50% of tracked players
15.1%Shot accuracy · Top 50% of tracked players
6,096MVPs
1,082Hours (in match)
3,010Bombs planted
530Bombs defused

Most-used weapons

Lifetime map wins

4,986dust2
2,759inferno
1,977nuke
666train
467cbble
394vertigo
134dust
104lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

462Matches
51%Win rate
0.89Avg K/D
69.5ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient6856%0.8613.3
Dust26549%1.0114.5
Anubis5151%0.8914.2
Nuke5056%0.8613.0
Inferno3050%0.8311.4
Overpass2560%0.9315.0
Cache1547%0.8711.7
Mirage633%0.6712.0

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.

21.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
40.9%Spray accuracy
78.9%Counter-strafing
10.7°Preaim
573msReaction time
23.7%T opening success
30.3%CT opening success
0.52Enemies flashed / flash
4.3%Flash assists
7.98HE damage / grenade
6.47Flashes / 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 23.689% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.0020%25 Aug
dust27–13-0.0615%24 Aug
anubis10–130.0119%24 Aug
inferno14–16-0.0613%23 Aug
nuke13–90.0425%23 Aug
ancient16–130.0018%23 Aug
anubis16–19-0.0124%23 Aug
ancient11–13-0.0211%23 Aug
dust25–13-0.0423%22 Aug
ancient10–13-0.0117%22 Aug
ancient11–13-0.0237%22 Aug
mirage19–17-0.0227%20 Aug
ancient13–6-0.0126%20 Aug
cache16–12-0.0513%20 Aug
cache8–130.0129%17 Aug
nuke11–13-0.0416%17 Aug
ancient8–130.0531%17 Aug
anubis10–13-0.0223%16 Aug
mirage13–50.0539%14 Aug
inferno10–13-0.0713%6 Aug
vertigo8–13-0.0725%6 Aug
inferno5–13-0.0136%6 Aug
anubis13–9-0.0326%27 Jul
ancient16–13-0.0013%27 Jul
dust25–130.0824%25 Jul
cache14–16-0.0620%24 Jul
inferno13–10-0.028%24 Jul
nuke13–60.0019%24 Jul
cache12–16-0.0420%19 Jul
anubis4–13-0.0524%17 Jul
cache13–11-0.0818%17 Jul
ancient10–13-0.0517%17 Jul
cache13–9-0.0718%17 Jul
ancient3–13-0.0313%16 Jul
nuke13–8-0.0122%16 Jul
dust29–13-0.0624%16 Jul
ancient16–12-0.0116%16 Jul
anubis13–100.0218%14 Jul
inferno4–13-0.0325%14 Jul
ancient4–13-0.057%13 Jul
nuke19–16-0.0329%13 Jul
ancient13–60.0512%11 Jul
cache13–8-0.0418%11 Jul
eldorado9–70.0223%11 Jul
ancient13–30.0521%11 Jul
anubis13–80.0218%11 Jul
debris8–8-0.1011%11 Jul
anubis13–80.0213%11 Jul
ancient13–16-0.0022%10 Jul
nuke1–13-0.0538%10 Jul
fachwerk10–130.0932%9 Jul
shelter3–13-0.0222%9 Jul
boulder9–130.0628%9 Jul
cache13–5-0.0221%8 Jul
cache13–50.0628%7 Jul
cache13–20.0025%7 Jul
ancient8–13-0.0314%6 Jul
dust25–13-0.0515%6 Jul
anubis13–10-0.0317%5 Jul
dust28–13-0.0717%5 Jul
nuke12–160.0317%4 Jul
ancient13–7-0.0336%2 Jul
dust210–13-0.0534%2 Jul
nuke13–80.0218%2 Jul
ancient11–13-0.0312%2 Jul
dust213–4-0.0447%30 Jun
cache13–40.0114%30 Jun
overpass5–13-0.0114%22 Jun
dust213–50.0117%22 Jun
nuke11–13-0.0619%22 Jun
nuke11–130.0228%21 Jun
overpass10–13-0.0625%21 Jun
ancient5–13-0.059%21 Jun
ancient13–5-0.0621%19 Jun
dust217–190.0028%18 Jun
nuke5–13-0.0531%18 Jun
dust213–3-0.0325%18 Jun
mirage6–130.0025%18 Jun
inferno10–13-0.0330%17 Jun
dust212–16-0.0426%10 Jun
ancient16–13-0.0223%8 Jun
cache6–130.0042%8 Jun
nuke13–11-0.0224%8 Jun
ancient13–40.0220%29 May
overpass9–13-0.0221%29 May
dust29–13-0.0221%29 May
nuke8–13-0.0317%27 May
ancient13–9-0.037%16 May
nuke13–100.0618%16 May
cache1–13-0.097%14 May
cache13–8-0.0329%14 May
overpass7–13-0.0422%12 May
cache13–100.0131%11 May
nuke13–10-0.0121%11 May
mirage11–13-0.0110%11 May
anubis13–4-0.0332%5 May
ancient9–13-0.0537%5 May
dust210–13-0.0519%3 May
nuke13–4-0.0225%3 May
cache13–50.0818%29 Apr

Match data via Leetify.

Recent teammates

Milestones

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