BOT Nikuziel

BOT Nikuziel — CS2 Stats

76561199232906989[U:1:1272641261]Steam profile ↗

478Tracked matches48%Win rate2023Tracked since
599Hours in CS6Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating8,502Light Blue band · top ~62.1% of ranked players (population est.)
CSDB Leaderboard#26172 of 35264 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate50.5%40.1%41.7%above
Shot accuracy1.6%7.6%8.8%7.2% short
Kill/death ratio0.780.920.970.19 short
Match win rate40.6%42.2%43.8%3.1% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBOT NikuzielPREMIER8,502 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning59
Utility47

0–100 skill scores via Leetify.

Recent form

HOT43561Last 10043%Win rateLWLLWWWWWW

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

Player DNA

Aim3.9
Aggression9.1
Utility4.7
Positioning5.9
Opening Duels4.8

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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher 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

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.9
Positioning5.9
Utility4.7
Mechanics3.6
Opening Duels4.8
Win Impact4.4

Composite 4.1/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time626ms−79ms
first ⅓ avg 705ms → last ⅓ avg 626ms
Headshot accuracy17.8%−3.9%
first ⅓ avg 21.7% → 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 — dust2 13–6
134Biggest win — anubis
8Longest win streak
93In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 62% over 13infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC28111739%-0.03
nukeB21111052%-0.00
anubisB157847%-0.02
dust2D1441029%-0.03
ancientA138562%-0.03
infernoD82625%-0.05
cache1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,069Lifetime kills
0.78K/D
807Matches
40.6%Match win rate
50.5%Headshot % · Top 10% of Light Blue band
1.6%Shot accuracy
1,393MVPs
284Hours (in match)
538Bombs planted
146Bombs defused

Most-used weapons

Lifetime map wins

1,032nuke
879inferno
550dust2
275vertigo
73office
71train
45cbble
13italy

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

Faceit stats

Combat

2Matches
0%Win rate
0.38Avg K/D
ADR
34%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.507.0
Nuke10%0.265.0

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.

18.8%Headshot accuracy
29.1%Accuracy (enemy spotted)
35.5%Spray accuracy
66.0%Counter-strafing
11.3°Preaim
655msReaction time
43.7%T opening success
54.4%CT opening success
0.55Enemies flashed / flash
8.1%Flash assists
6.90HE damage / grenade
10.41Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0515%25 Aug
dust213–70.0033%25 Aug
dust26–13-0.0512%24 Aug
anubis6–13-0.0521%24 Aug
ancient13–11-0.0225%20 Aug
mirage13–90.0323%20 Aug
ancient13–60.0028%20 Aug
anubis13–4-0.0116%18 Aug
dust213–60.0112%18 Aug
ancient13–10-0.0633%6 Aug
dust24–13-0.0532%6 Aug
anubis6–130.0030%5 Aug
mirage13–6-0.0120%5 Aug
mirage12–16-0.0213%4 Aug
inferno7–130.000%4 Aug
inferno13–9-0.0311%2 Aug
nuke4–130.0126%2 Aug
dust213–60.1127%29 Jul
mirage15–15-0.0221%29 Jul
ancient13–80.0323%29 Jul
mirage11–13-0.068%29 Jul
nuke13–60.1125%29 Jul
mirage13–10-0.0713%27 Jul
mirage1–6-0.080%25 Jul
dust24–13-0.049%25 Jul
anubis9–13-0.0717%25 Jul
dust28–13-0.0418%25 Jul
anubis13–70.029%25 Jul
mirage9–130.0210%24 Jul
dust29–13-0.0410%23 Jul
anubis8–130.0522%23 Jul
mirage8–13-0.0912%23 Jul
ancient9–13-0.0414%19 Jul
inferno1–13-0.0317%19 Jul
dust213–9-0.0918%15 Jul
anubis13–9-0.0210%15 Jul
mirage1–13-0.078%15 Jul
anubis4–13-0.0620%12 Jul
inferno10–13-0.0328%12 Jul
anubis13–110.0014%12 Jul
dust211–13-0.0223%11 Jul
mirage8–13-0.088%5 Jul
dust28–13-0.0429%5 Jul
anubis7–13-0.0919%5 Jul
nuke8–13-0.0519%4 Jul
nuke13–5-0.0513%4 Jul
nuke0–8-0.0331%3 Jul
mirage7–13-0.0415%2 Jul
nuke16–14-0.0012%2 Jul
mirage13–7-0.0122%1 Jul
mirage13–11-0.0417%30 Jun
ancient5–13-0.0730%29 Jun
nuke6–130.0114%29 Jun
dust25–13-0.0620%29 Jun
ancient13–40.045%29 Jun
nuke8–130.0017%28 Jun
mirage13–110.0521%28 Jun
mirage6–13-0.0424%22 Jun
nuke13–100.0525%22 Jun
mirage10–13-0.0230%22 Jun
nuke4–130.0611%22 Jun
mirage8–130.0537%22 Jun
inferno4–13-0.0830%22 Jun
nuke13–90.1035%21 Jun
mirage1–13-0.0515%21 Jun
ancient1–13-0.085%21 Jun
mirage13–8-0.0227%21 Jun
mirage13–8-0.0626%21 Jun
mirage13–80.0212%21 Jun
nuke13–11-0.0534%20 Jun
ancient13–60.0124%20 Jun
mirage13–4-0.0136%20 Jun
nuke13–50.0417%20 Jun
nuke13–110.0520%20 Jun
dust27–13-0.148%20 Jun
inferno13–11-0.0914%19 Jun
nuke13–4-0.0132%19 Jun
dust27–13-0.0226%19 Jun
mirage5–13-0.0316%12 Jun
nuke13–6-0.1430%12 Jun
anubis13–80.0933%12 Jun
mirage3–13-0.0512%4 Jun
nuke7–13-0.0721%4 Jun
ancient8–13-0.0518%4 Jun
nuke13–90.0416%4 Jun
ancient4–1-0.0230%2 Jun
nuke11–13-0.0330%2 Jun
anubis9–13-0.0424%2 Jun
ancient2–13-0.0529%30 May
anubis4–2-0.077%29 May
nuke3–13-0.0511%29 May
inferno7–13-0.0821%29 May
mirage13–70.0222%29 May
mirage4–13-0.1019%28 May
ancient13–9-0.0123%26 May
anubis4–13-0.0317%25 May
mirage8–13-0.0126%25 May
nuke6–130.0119%25 May
inferno3–13-0.0530%24 May
anubis13–4-0.0715%24 May

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 →