-nikolai — CS2 Stats

76561198014510593[U:1:54244865]

841Tracked matches59%Win rate2020Tracked since
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating22,572Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#6042 of 21483 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG-nikolaiFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,572 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52426Last 10052%Win rateWWLLWLLWWL

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

Player DNA

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

Aim7.4
Aggression6.0
Utility4.8
Positioning4.8
Opening Duels2.4
Clutch5.0

Strong CT-side openerLimited utility dependence

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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 52% on CT to 27% 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.

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

Aim7.4
Positioning4.8
Utility4.8
Mechanics7.2
Opening Duels2.7
Win Impact7.9

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time643ms+45ms
first ⅓ avg 598ms → last ⅓ avg 643ms
Headshot accuracy23.2%+1.0%
first ⅓ avg 22.2% → last ⅓ avg 23.2%

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 — train 12–12
130Biggest win — train
6Longest win streak
W2Current streak
66In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 80% over 5nukeWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB22111150%-0.01
mirageC1981142%-0.00
ancientA1610663%-0.00
nukeD1431121%-0.01
dust2S96367%0.02
anubisS86275%-0.00
trainS54180%0.07
overpass42250%-0.02
cache32167%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

925Matches
52%Win rate
1.14Avg K/D
83.7ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
36%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3161%1.1216.9
Anubis3063%1.1417.1
Inferno2467%1.1915.7
Ancient1567%1.1318.7
Dust21050%1.0217.7
Nuke944%1.1218.1
Overpass743%1.1619.4
Train333%1.1024.3

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.

22.8%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.5%Spray accuracy
82.3%Counter-strafing
10.5°Preaim
628msReaction time
26.9%T opening success
52.0%CT opening success
0.65Enemies flashed / flash
7.0%Flash assists
8.50HE damage / grenade
4.67Flashes / 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 26.9402% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–13-0.0119%30 Jun
dust213–60.0320%29 Jun
nuke6–13-0.0142%27 Jun
inferno6–13-0.0721%25 Jun
inferno13–90.0227%24 Jun
inferno10–130.0127%22 Jun
anubis9–13-0.0618%11 Jun
mirage13–50.0329%5 Jun
ancient13–80.0121%27 May
dust28–13-0.0323%27 May
anubis13–110.0022%27 May
mirage13–110.0121%26 May
nuke15–15-0.0224%26 May
dust213–90.0831%26 May
ancient1–13-0.0727%25 May
mirage8–130.0924%22 May
ancient13–50.0122%22 May
anubis4–13-0.0527%21 May
inferno13–70.0017%21 May
ancient13–8-0.0416%21 May
mirage9–13-0.0225%21 May
anubis8–00.0320%20 May
inferno13–70.0233%20 May
inferno5–13-0.0228%19 May
inferno13–160.0014%18 May
nuke11–13-0.0616%11 May
anubis13–70.0218%8 May
nuke13–11-0.0517%8 May
mirage13–50.0722%8 May
inferno13–90.0024%8 May
overpass10–13-0.0919%2 May
ancient13–70.0127%1 May
mirage11–13-0.0726%1 May
ancient5–13-0.0231%29 Apr
cache13–30.1047%29 Apr
train12–120.1124%24 Apr
anubis13–7-0.0116%24 Apr
inferno13–70.0318%24 Apr
inferno13–40.0123%23 Apr
ancient13–70.0416%23 Apr
inferno13–30.0225%14 Jan
overpass5–00.0263%14 Jan
nuke8–130.0015%30 Dec
inferno10–13-0.072%29 Dec
mirage13–40.0425%29 Dec
dust29–20.0419%29 Dec
nuke7–13-0.0215%29 Dec
overpass5–13-0.0221%29 Dec
mirage13–80.0723%29 Dec
dust214–16-0.0613%29 Dec
ancient3–00.0733%29 Dec
nuke14–16-0.0021%18 Dec
mirage2–13-0.0918%12 Dec
mirage10–13-0.0015%10 Dec
dust213–80.0429%10 Dec
inferno13–11-0.0521%9 Dec
inferno13–110.0016%8 Dec
inferno3–13-0.0929%8 Dec
ancient13–90.0624%7 Dec
dust29–130.0227%4 Dec
inferno8–13-0.0119%2 Dec
inferno13–9-0.0312%2 Nov
train13–00.1037%2 Nov
train11–20.0510%2 Nov
ancient8–130.0520%24 Oct
overpass10–00.0117%23 Oct
nuke15–150.0220%23 Oct
inferno3–130.0026%22 Oct
inferno13–60.0435%3 Oct
mirage6–13-0.0218%1 Oct
mirage15–15-0.0422%30 Sept
nuke2–13-0.0450%19 Mar
mirage13–90.0521%16 Mar
cache6–13-0.0120%14 Mar
inferno2–13-0.0618%9 Mar
nuke8–13-0.014%9 Mar
nuke15–15-0.0412%7 Mar
ancient13–90.0125%7 Mar
nuke13–90.0519%6 Mar
anubis13–50.0017%6 Mar
train13–50.0326%6 Mar
inferno11–13-0.0311%6 Mar
nuke13–10-0.0320%6 Mar
ancient15–15-0.0519%6 Mar
mirage19–16-0.0128%5 Mar
cache13–50.0413%5 Mar
dust213–90.0710%5 Mar
train13–80.0518%5 Mar
ancient16–14-0.0412%3 Mar
mirage8–13-0.0921%3 Mar
mirage9–20.0123%3 Mar
ancient13–90.0024%2 Mar
anubis13–40.0328%2 Mar
mirage8–130.0117%28 Feb
ancient9–13-0.0630%27 Feb
mirage3–13-0.0750%27 Feb
nuke6–130.0022%27 Feb
inferno8–13-0.0027%27 Feb
ancient11–13-0.0125%26 Feb
mirage4–13-0.0422%25 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →