SniperCreeper

SniperCreeper — CS2 Stats

US76561198188069934[U:1:227804206]Steam profile ↗✓ No bans

897Tracked matches48%Win rate2020Tracked since
CSDB Rating3.1 LearningClutch Specialist
Premier CS Rating11,859Blue band · top ~45% of ranked players (population est.)
CSDB Leaderboard#17569 of 24885 tracked
FaceitLevel 3 · 827 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSniperCreeperFACEITLevel 3 · 827 ELOSTANDINGTop 90.6% of rankedPREMIER11,859 · Blue bandcsdb.gg/stats

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Performance scores

Aim28
Positioning30
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateLWLWWWWLLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim2.8
Aggression0.9
Utility5.1
Positioning3.0
Opening Duels0.0
Clutch10.0

Strong CT-side openerReliable in 1v1s

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 67% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 34% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning3.0
Utility5.1
Mechanics3.8
Opening Duels0.5
Win Impact4.4

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time644ms+2ms
first ⅓ avg 643ms → last ⅓ avg 644ms
Headshot accuracy12.8%−0.5%
first ⅓ avg 13.3% → last ⅓ avg 12.8%

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

0.09Best rating — debris 9–2
130Biggest win — cache
6Longest win streak
76In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 64% over 11ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB29151452%-0.04
nukeB137654%-0.05
dust2B115645%-0.03
infernoA117464%-0.06
vertigoB84450%-0.05
mirageD81713%-0.06
anubisA53260%-0.03
ancientD5050%-0.07
debris31233%-0.05
poseidon330100%-0.01
train220100%-0.02
shelter21150%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
33%Win rate
0.63Avg K/D
62.3ADR
47%Headshot %

Clutches & streaks

75%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke540%0.7912.6
Mirage450%0.548.3
Inferno10%0.183.0
Dust210%0.9313.0
Ancient10%0.417.0

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.

11.2%Headshot accuracy
27.9%Accuracy (enemy spotted)
29.2%Spray accuracy
67.1%Counter-strafing
10.7°Preaim
628msReaction time
17.9%T opening success
33.8%CT opening success
0.63Enemies flashed / flash
7.1%Flash assists
7.45HE damage / grenade
6.95Flashes / 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 11.2227% — 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 17.8672% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0515%29 Aug
dust213–10-0.0410%29 Aug
debris5–9-0.0719%29 Aug
dust213–30.0227%28 Aug
train13–80.0411%28 Aug
anubis13–1-0.0214%25 Aug
vertigo13–7-0.0110%23 Aug
ancient12–16-0.120%16 Aug
mirage2–13-0.056%15 Aug
ancient13–16-0.0815%9 Aug
vertigo13–11-0.0128%9 Aug
dust214–16-0.0713%9 Aug
cache10–13-0.075%9 Aug
dust27–13-0.0413%8 Aug
dust213–5-0.075%8 Aug
nuke13–50.0117%8 Aug
anubis11–13-0.087%7 Aug
nuke13–80.028%5 Aug
cache13–40.0311%5 Aug
vertigo3–10-0.118%2 Aug
inferno13–90.007%1 Aug
mirage13–7-0.0117%1 Aug
vertigo9–60.0413%30 Jul
poseidon9–7-0.103%30 Jul
ancient10–13-0.0316%28 Jul
shelter8–13-0.0114%26 Jul
dust28–13-0.058%24 Jul
nuke15–15-0.0811%23 Jul
inferno8–8-0.1024%23 Jul
nuke6–9-0.155%23 Jul
debris0–8-0.1822%18 Jul
debris9–20.0919%18 Jul
poseidon9–7-0.0123%18 Jul
ancient2–7-0.0318%18 Jul
nuke10–13-0.0712%14 Jul
anubis13–30.039%13 Jul
shelter13–60.026%12 Jul
mirage10–13-0.124%11 Jul
dust210–13-0.0412%11 Jul
cache13–6-0.1015%9 Jul
cache9–13-0.0711%9 Jul
cache13–0-0.0110%8 Jul
inferno8–8-0.0517%3 Jul
inferno9–4-0.1331%3 Jul
inferno9–40.0215%3 Jul
train13–9-0.074%25 Jun
nuke13–6-0.010%25 Jun
ancient12–12-0.0815%25 Jun
cache13–11-0.0510%20 Jun
nuke13–11-0.079%20 Jun
mirage14–16-0.037%13 Jun
dust216–12-0.018%13 Jun
nuke9–20.0217%11 Jun
vertigo4–9-0.076%11 Jun
inferno9–6-0.0121%11 Jun
nuke8–8-0.1310%11 Jun
cache2–40.028%7 Jun
nuke13–6-0.0514%6 Jun
nuke12–160.0116%2 Jun
mirage9–13-0.118%2 Jun
cache5–13-0.044%2 Jun
cache5–13-0.0610%28 May
cache13–4-0.015%28 May
cache13–11-0.0114%23 May
cache10–13-0.0312%23 May
vertigo3–9-0.128%21 May
cache13–4-0.0610%17 May
cache13–10-0.030%17 May
cache13–7-0.0513%16 May
cache13–5-0.018%16 May
cache6–13-0.0121%15 May
cache6–13-0.0938%15 May
cache7–13-0.0914%12 May
cache13–40.019%12 May
cache9–13-0.0416%12 May
cache13–40.0112%9 May
vertigo9–5-0.079%9 May
inferno9–5-0.0315%9 May
inferno9–4-0.1044%9 May
cache13–110.0312%2 May
cache13–7-0.0219%2 May
cache11–13-0.1023%30 Apr
cache9–13-0.0117%30 Apr
cache13–10-0.073%29 Apr
cache7–13-0.078%29 Apr
anubis13–4-0.048%26 Apr
dust213–50.060%26 Apr
nuke10–13-0.105%22 Apr
dust29–13-0.0312%22 Apr
mirage1–11-0.070%16 Apr
nuke13–4-0.0713%16 Apr
mirage0–13-0.1010%16 Apr
poseidon9–30.0816%11 Apr
inferno2–9-0.215%11 Apr
dust28–13-0.075%10 Apr
mirage9–13-0.0312%10 Apr
inferno16–13-0.0412%7 Apr
vertigo12–12-0.0611%5 Apr
inferno7–9-0.0625%5 Apr
anubis4–13-0.0526%4 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 →