ԋαɯƙҽყҽ

ԋαɯƙҽყҽ — CS2 Stats

DE76561198938258431[U:1:977992703]Steam profile ↗

492Tracked matches41%Win rate2020Tracked since
1,378Hours in CS1Hrs last 2 wks
CSDB Rating4.3 Developing
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate42.1%41.1%41.2%above
Shot accuracy19.6%14.1%12.5%above
Kill/death ratio1.020.970.96above
Match win rate38.9%41.9%42.8%3.9% short

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGԋαɯƙҽყҽFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning37
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY37585Last 10037%Win rateWWWWTLLLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim5.3
Aggression3.0
Utility5.8
Positioning3.7
Opening Duels0.0

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 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Reaction time. 641ms 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

Aim5.3
Positioning3.7
Utility5.8
Mechanics5.8
Opening Duels0.3
Win Impact2.1

Composite 4.3/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time647ms+6ms
first ⅓ avg 641ms → last ⅓ avg 647ms
Headshot accuracy16.6%−4.6%
first ⅓ avg 21.2% → last ⅓ avg 16.6%

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

0.10Best rating — cache 13–1
131Biggest win — cache
4Longest win streak
W4Current streak
56In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 6nukeWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C27111641%-0.02
mirageC1971237%-0.02
infernoD134931%-0.03
ancientC114736%-0.01
cacheA106460%0.01
nukeD6060%-0.03
overpassS64267%0.00
anubisD5050%-0.04
train2020%-0.06
vertigo110100%0.00

Across the last 100 tracked matches.

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

Lifetime stats

33,221Lifetime kills
1.02K/D · Top 50% of Level 1 players
1,709Matches
38.9%Match win rate
42.1%Headshot % · Top 50% of Level 1 players
19.6%Shot accuracy · Top 5% of Level 1 players
3,307MVPs
747Hours (in match)
2,566Bombs planted
468Bombs defused

Most-used weapons

Lifetime map wins

3,491dust2
3,172inferno
1,218train
891vertigo
761nuke
19cbble
9italy
9lake

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

Skill profile

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

16.7%Headshot accuracy
33.1%Accuracy (enemy spotted)
32.6%Spray accuracy
76.0%Counter-strafing
10.3°Preaim
641msReaction time
26.7%T opening success
32.7%CT opening success
0.54Enemies flashed / flash
4.7%Flash assists
6.63HE damage / grenade
16.22Flashes / 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 26.6828% — below the 40% mark we flag

Spend your practice time on Nuke

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 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–50.0323%31 Jul
cache13–8-0.0218%31 Jul
cache13–10.1032%14 Jul
mirage16–13-0.0313%14 Jul
cache15–150.0016%14 Jul
anubis11–13-0.0713%10 Jul
inferno5–130.0115%10 Jul
mirage10–13-0.0215%10 Jul
dust213–80.0015%10 Jul
cache13–9-0.019%10 Jul
dust25–13-0.0314%7 Jul
nuke7–130.0125%5 Jul
mirage14–160.0512%5 Jul
inferno11–13-0.0322%5 Jul
dust23–130.0015%5 Jul
mirage7–13-0.074%12 Jun
dust213–5-0.0414%12 Jun
anubis4–13-0.0224%12 Jun
nuke4–13-0.0721%12 Jun
overpass13–3-0.0520%12 Jun
inferno3–13-0.147%12 Jun
dust213–60.0324%11 Jun
dust213–9-0.0216%11 Jun
dust213–8-0.0229%11 Jun
nuke4–13-0.0511%11 Jun
nuke8–13-0.0022%11 Jun
inferno11–13-0.0815%10 Jun
mirage10–13-0.0010%9 Jun
ancient5–13-0.0015%9 Jun
overpass13–80.0420%5 Jun
dust213–8-0.014%5 Jun
inferno13–40.0310%5 Jun
ancient5–13-0.0521%5 Jun
mirage13–100.0313%5 Jun
nuke9–13-0.0214%5 Jun
dust212–12-0.0216%5 Jun
ancient4–13-0.038%29 May
dust28–13-0.0528%29 May
ancient16–14-0.028%29 May
overpass13–4-0.0211%29 May
dust213–10-0.0428%29 May
cache13–11-0.0522%25 May
train12–12-0.0318%22 May
inferno5–130.0315%22 May
dust210–13-0.0414%22 May
inferno14–160.0118%22 May
dust24–13-0.0226%22 May
ancient9–130.0111%22 May
dust213–4-0.0313%22 May
overpass9–130.0217%17 May
dust21–8-0.0640%17 May
ancient9–130.0114%17 May
mirage13–80.0211%16 May
mirage13–3-0.0414%16 May
dust28–13-0.049%16 May
mirage13–8-0.0313%16 May
train7–13-0.0916%16 May
ancient1–7-0.0410%16 May
vertigo12–10.006%15 May
mirage1–13-0.0821%15 May
dust213–5-0.0621%15 May
mirage7–13-0.0012%15 May
mirage9–13-0.0717%13 May
mirage10–13-0.0116%13 May
dust29–13-0.0614%13 May
dust22–13-0.0620%13 May
inferno1–13-0.0823%13 May
anubis12–120.0221%13 May
cache12–12-0.0321%13 May
cache4–130.0120%11 May
inferno13–11-0.069%11 May
ancient13–80.0425%8 May
mirage16–14-0.029%4 May
ancient13–11-0.0323%4 May
mirage10–13-0.0012%4 May
ancient5–9-0.0119%3 May
dust213–30.0021%2 May
cache13–100.0515%1 May
cache13–100.0323%1 May
inferno6–13-0.0617%30 Apr
mirage6–13-0.080%30 Apr
anubis0–13-0.0923%30 Apr
anubis8–13-0.0318%30 Apr
inferno2–13-0.0241%30 Apr
inferno13–40.0732%30 Apr
dust26–130.0132%30 Apr
cache10–130.0125%29 Apr
ancient13–80.0444%29 Apr
mirage13–4-0.0116%27 Apr
inferno13–10-0.0323%27 Apr
dust25–13-0.0328%27 Apr
overpass13–80.0821%26 Apr
dust28–13-0.0125%26 Apr
dust25–13-0.0411%26 Apr
mirage11–13-0.0324%25 Apr
mirage5–130.008%25 Apr
dust22–13-0.0327%25 Apr
nuke9–13-0.0729%25 Apr
overpass7–13-0.0620%24 Apr
dust28–13-0.0515%24 Apr

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 →