SnurpaN🐱

SnurpaN🐱 β€” CS2 Stats

SE76561198230965632[U:1:270699904]Steam profile β†—

2,120Tracked matches50%Win rate2020Tracked since
4,441Hours in CS64Hrs last 2 wks
CSDB Rating4.3 Developing
FaceitLevel 6 Β· 1,308 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate39.4%44.9%46.2%6.8% short
Shot accuracy8.0%11.8%12.5%4.5% short
Kill/death ratio0.851.041.060.21 short
Match win rate46.4%45.3%45.9%meets

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSnurpaN🐱FACEITLevel 6 · 1,308 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning46
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWWLLWLWLW

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

Player DNA

Aim5.9
Aggression5.0
Utility5.1
Positioning4.6
Opening Duels0.7
Clutch1.8

Style profile from tracked-match aggregates β€” 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 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 40% on CT to 25% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.9
Positioning4.6
Utility5.1
Mechanics4.6
Opening Duels1.3
Win Impact5.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02βˆ’0.00
first β…“ avg -0.01 β†’ last β…“ avg -0.02
Reaction time599ms+12ms
first β…“ avg 586ms β†’ last β…“ avg 599ms
Headshot accuracy16.9%+1.5%
first β…“ avg 15.5% β†’ last β…“ avg 16.9%

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 β€” nuke 9–13
13–2Biggest win β€” anubis
5Longest win streak
W3Current streak
12–10In matches decided by ≀2 rounds
15Overtime games

Map breakdown

anubisBest map Β· 75% over 8dust2Weakest map Β· 37% over 27
MapGradePlayedRecordWin rateAvg rating
dust2C2710–1737%-0.02
nukeS2619–773%-0.01
ancientC94–544%-0.03
anubisS86–275%0.02
overpassA74–357%-0.03
trainB63–350%-0.01
vertigoβ€”41–325%-0.03
infernoβ€”41–325%-0.00
cbble_dβ€”31–233%-0.03
cacheβ€”21–150%-0.04
mirageβ€”11–0100%0.01
tuscan_dβ€”11–0100%0.03
rats_kitchoonβ€”10–10%-0.05
season_d_prefabβ€”11–0100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,856Lifetime kills
0.85K/D
6,363Matches
46.4%Match win rate Β· Top 50% of Level 6 players
39.4%Headshot %
8.0%Shot accuracy
12,278MVPs
2,690Hours (in match)
9,022Bombs planted
1,265Bombs defused

Most-used weapons

AK-4732,140
AWP10,551
Knife3,406
MAC-102,960
MP92,759
P2502,685

Lifetime map wins

24,385nuke
10,505inferno
10,449dust2
3,252vertigo
1,114train
448cbble
43lake
25office

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

Faceit stats

Combat

635Matches
49%Win rate
1.01Avg K/D
74.2ADR
36%Headshot %

Clutches & streaks

29%1v1 clutch win
33%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21233%0.7913.9
Mirage933%0.7512.0
Nuke633%0.9416.2
Inferno650%1.2519.7
Train560%1.2418.4
Ancient367%1.0813.7

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

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

16.7%Headshot accuracy
38.0%Accuracy (enemy spotted)
35.3%Spray accuracy
70.5%Counter-strafing
11.1Β°Preaim
607msReaction time
25.3%T opening success
40.3%CT opening success
0.68Enemies flashed / flash
4.1%Flash assists
7.32HE damage / grenade
6.80Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 25.2836% β€” below the 40% mark we flag

Spend your practice time on Dust 2

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

37% win rate across 27 tracked games β€” your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy β†’Dust 2 grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
nuke16–14-0.0210%28 Aug β†’
dust213–10-0.0711%28 Aug β†’
mirage13–70.0122%28 Aug β†’
dust210–13-0.0418%28 Aug β†’
nuke9–13-0.0121%28 Aug β†’
dust213–60.0621%28 Aug β†’
overpass8–13-0.0722%28 Aug β†’
nuke13–6-0.0319%28 Aug β†’
dust25–130.0319%28 Aug β†’
cache13–11-0.0411%28 Aug β†’
dust213–8-0.0514%28 Aug β†’
nuke11–130.0214%27 Aug β†’
cbble_d9–13-0.0114%27 Aug β†’
vertigo11–130.049%27 Aug β†’
dust212–16-0.0216%27 Aug β†’
ancient13–7-0.0018%27 Aug β†’
anubis5–130.0017%27 Aug β†’
dust216–12-0.0314%27 Aug β†’
nuke19–160.0118%27 Aug β†’
nuke16–14-0.0310%27 Aug β†’
cache5–13-0.0422%26 Aug β†’
nuke13–110.0227%26 Aug β†’
dust26–13-0.0716%26 Aug β†’
anubis13–5-0.0119%26 Aug β†’
dust213–9-0.0525%26 Aug β†’
nuke13–70.0120%26 Aug β†’
dust211–13-0.0520%26 Aug β†’
overpass3–13-0.1014%26 Aug β†’
vertigo16–19-0.0116%25 Aug β†’
dust24–13-0.0113%25 Aug β†’
anubis13–20.0116%25 Aug β†’
overpass16–12-0.0617%25 Aug β†’
nuke13–70.0717%25 Aug β†’
nuke25–22-0.0514%25 Aug β†’
inferno6–13-0.0513%25 Aug β†’
anubis16–140.0519%25 Aug β†’
ancient9–13-0.0919%24 Aug β†’
inferno13–80.0213%24 Aug β†’
train13–11-0.0216%24 Aug β†’
train14–160.058%24 Aug β†’
nuke13–8-0.0513%24 Aug β†’
dust25–13-0.0818%24 Aug β†’
dust213–90.0334%24 Aug β†’
ancient13–100.0419%24 Aug β†’
inferno11–13-0.0014%24 Aug β†’
dust27–13-0.0530%23 Aug β†’
nuke13–11-0.0520%23 Aug β†’
dust213–100.0112%23 Aug β†’
train6–130.0416%23 Aug β†’
overpass13–7-0.0115%23 Aug β†’
nuke13–6-0.0319%23 Aug β†’
nuke9–130.0927%23 Aug β†’
ancient3–13-0.0819%23 Aug β†’
dust27–13-0.0116%23 Aug β†’
anubis13–110.0116%23 Aug β†’
dust211–13-0.0614%21 Aug β†’
anubis4–13-0.0122%21 Aug β†’
nuke13–50.0211%21 Aug β†’
cbble_d1–13-0.0718%21 Aug β†’
dust27–130.0316%21 Aug β†’
nuke22–20-0.0216%21 Aug β†’
dust213–10-0.0715%20 Aug β†’
nuke13–11-0.0919%20 Aug β†’
nuke13–50.0317%20 Aug β†’
dust23–13-0.0119%20 Aug β†’
inferno13–160.0319%20 Aug β†’
nuke13–100.0122%20 Aug β†’
ancient13–8-0.0421%20 Aug β†’
dust29–130.0419%20 Aug β†’
anubis13–60.056%19 Aug β†’
ancient5–13-0.048%19 Aug β†’
dust213–100.0412%19 Aug β†’
nuke7–130.0410%19 Aug β†’
nuke16–12-0.0118%19 Aug β†’
ancient11–13-0.0116%19 Aug β†’
dust24–13-0.0217%19 Aug β†’
tuscan_d13–90.0319%19 Aug β†’
nuke13–60.0425%19 Aug β†’
train9–13-0.0817%19 Aug β†’
dust211–13-0.0215%19 Aug β†’
anubis13–90.0423%19 Aug β†’
rats_kitchoon1–1-0.050%18 Aug β†’
train13–30.0213%18 Aug β†’
overpass16–130.0122%18 Aug β†’
dust28–13-0.0438%18 Aug β†’
nuke3–13-0.0719%18 Aug β†’
nuke10–13-0.0616%17 Aug β†’
season_d_prefab13–8-0.0611%17 Aug β†’
vertigo8–3-0.057%17 Aug β†’
nuke11–13-0.0016%17 Aug β†’
dust211–13-0.0614%17 Aug β†’
train13–11-0.0314%17 Aug β†’
overpass6–13-0.0211%17 Aug β†’
vertigo8–13-0.104%17 Aug β†’
ancient13–4-0.0324%17 Aug β†’
nuke13–9-0.0218%16 Aug β†’
overpass13–50.0123%16 Aug β†’
dust213–20.0117%16 Aug β†’
cbble_d16–14-0.0110%16 Aug β†’
ancient10–130.018%16 Aug β†’

Match data via Leetify.

Recent teammates

Milestones

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