naB — CS2 Stats

76561198395595637[U:1:435329909]✓ No bans

3,558Tracked matches61%Win rate2020Tracked since
6,127Hours in CS8Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
FaceitLevel 9 · 1,971 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 medianvs Level 10
Headshot rate46.1%52.8%6.6% short
Shot accuracy12.3%13.7%1.4% short
Kill/death ratio0.771.080.31 short
Match win rate44.0%49.2%5.2% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnaBFACEITLevel 9 · 1,971 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning39
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY57412Last 10057%Win rateLWWWLLWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.5
Aggression4.7
Utility4.7
Positioning3.9
Opening Duels0.9
Clutch3.4

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 84% 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 — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 555ms 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

Aim6.5
Positioning3.9
Utility4.7
Mechanics5.3
Opening Duels1.3
Win Impact8.6

Composite 5.0/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time558ms−49ms
first ⅓ avg 606ms → last ⅓ avg 558ms
Headshot accuracy17.8%−0.4%
first ⅓ avg 18.2% → last ⅓ avg 17.8%

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

0.11Best rating — ancient 13–10
131Biggest win — cache
11Longest win streak
912In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 71% over 21anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
ancientS2115671%-0.02
cacheS1712571%-0.02
mirageA148657%-0.02
nukeA117464%0.00
infernoB105550%-0.02
anubisD93633%-0.02
dust2D93633%-0.03
vertigoC52340%-0.02
train21150%-0.02
office21150%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,640Lifetime kills
0.77K/D
8,392Matches
44.0%Match win rate
46.1%Headshot % · Top 50% of tracked players
12.3%Shot accuracy · Top 50% of tracked players
16,366MVPs
4,447Hours (in match)
8,087Bombs planted
1,998Bombs defused

Most-used weapons

AK-4751,134
AWP9,730
AUG5,899
SG 5535,341
P2503,884
Knife3,611

Lifetime map wins

17,229inferno
9,822nuke
8,277dust2
6,831train
2,088vertigo
677cbble
343office
73lake

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

Faceit stats

Combat

4,642Matches
50%Win rate
0.90Avg K/D
69.5ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
13%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient34448%0.8914.3
Mirage31446%0.8613.5
Nuke29154%0.8813.4
Anubis27152%0.8914.0
Inferno20354%0.8613.7
Dust217342%0.7913.1
Overpass6244%0.8614.6
Train6060%0.8913.5

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.

17.4%Headshot accuracy
33.6%Accuracy (enemy spotted)
37.0%Spray accuracy
73.9%Counter-strafing
10.2°Preaim
555msReaction time
26.7%T opening success
40.6%CT opening success
0.45Enemies flashed / flash
5.7%Flash assists
8.74HE damage / grenade
5.64Flashes / 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. 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 0.4465 — below the 0.5 mark we flag

    Grenade Lineups
  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 26.6722% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–130.0321%19 Aug
cache16–12-0.0612%18 Aug
nuke13–80.0516%18 Aug
ancient13–50.0214%17 Aug
cache7–13-0.0219%17 Aug
vertigo7–13-0.0226%16 Aug
cache16–13-0.0018%16 Aug
ancient8–13-0.0314%16 Aug
inferno13–7-0.0210%14 Aug
ancient13–10-0.0714%14 Aug
cache13–10-0.0310%14 Aug
train12–12-0.0719%14 Aug
train13–100.0234%14 Aug
ancient13–7-0.0421%11 Aug
dust211–130.0123%10 Aug
vertigo8–13-0.0727%9 Aug
inferno17–19-0.0218%5 Aug
cache10–13-0.053%5 Aug
anubis9–130.0020%5 Aug
cache8–13-0.0317%4 Aug
mirage11–13-0.0512%4 Aug
nuke10–40.0326%4 Aug
vertigo12–12-0.017%1 Aug
ancient13–11-0.0513%30 Jul
dust213–5-0.0316%30 Jul
cache13–8-0.1021%30 Jul
ancient13–9-0.0724%28 Jul
nuke13–110.0121%28 Jul
mirage13–6-0.0115%28 Jul
cache13–10-0.0016%28 Jul
dust213–20.0320%28 Jul
anubis13–5-0.0213%24 Jul
ancient13–6-0.0127%24 Jul
inferno13–7-0.0015%24 Jul
dust210–13-0.0716%23 Jul
ancient13–100.1120%23 Jul
cache14–16-0.049%23 Jul
mirage11–13-0.0321%23 Jul
anubis9–13-0.0224%22 Jul
inferno13–11-0.0020%22 Jul
dust28–130.0124%22 Jul
cache13–8-0.0613%22 Jul
cache9–13-0.018%19 Jul
ancient5–130.0119%16 Jul
mirage9–130.0630%16 Jul
inferno8–13-0.0323%15 Jul
mirage13–100.0314%15 Jul
ancient13–11-0.0222%15 Jul
office13–7-0.0132%14 Jul
office10–13-0.0124%14 Jul
mirage11–13-0.0717%12 Jul
nuke8–13-0.0610%12 Jul
mirage13–9-0.0736%10 Jul
cache16–130.0829%10 Jul
ancient6–13-0.0316%10 Jul
inferno2–13-0.028%30 Jun
ancient13–4-0.0237%25 Jun
cache16–130.0123%24 Jun
mirage13–30.0323%24 Jun
nuke19–17-0.0516%24 Jun
ancient13–60.0120%24 Jun
inferno11–13-0.0221%23 Jun
nuke13–11-0.0023%23 Jun
ancient13–4-0.0618%23 Jun
cache13–80.0432%23 Jun
dust210–13-0.0319%23 Jun
mirage9–13-0.0420%22 Jun
cache13–3-0.045%22 Jun
inferno13–100.0017%22 Jun
mirage13–9-0.0516%12 Jun
dust216–14-0.0710%10 Jun
mirage10–00.009%10 Jun
ancient9–13-0.0721%9 Jun
cache13–7-0.0332%9 Jun
mirage17–19-0.0319%8 Jun
inferno13–7-0.0412%6 Jun
ancient13–7-0.1016%6 Jun
nuke9–130.0014%5 Jun
anubis22–25-0.0213%5 Jun
vertigo13–60.0136%3 Jun
vertigo13–110.0118%3 Jun
nuke13–110.0117%2 Jun
dust211–13-0.0514%1 Jun
anubis13–9-0.045%1 Jun
inferno8–13-0.0428%1 Jun
ancient13–10-0.0113%1 Jun
ancient16–12-0.0020%29 May
nuke19–150.0323%28 May
anubis8–13-0.0726%28 May
anubis13–7-0.0610%28 May
nuke11–13-0.0515%25 May
ancient10–130.0022%25 May
cache13–10.0021%25 May
mirage19–16-0.0327%25 May
ancient13–5-0.0220%24 May
nuke1–90.0113%24 May
dust211–13-0.0541%24 May
mirage13–8-0.039%24 May
anubis9–13-0.0324%22 May
ancient17–19-0.0518%22 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →