Nika — CS2 Stats

76561198314215068[U:1:353949340]✓ No bans

2,872Tracked matches64%Win rate2020Tracked since
2,858Hours in CS37Hrs last 2 wks
CSDB Rating5.4 Developing
Premier CS Rating16,879Purple band · top ~20.9% of ranked players (population est.)
CSDB Leaderboard#17311 of 31129 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.4%44.1%47.2%6.8% short
Shot accuracy1.5%11.4%12.7%11.3% short
Kill/death ratio1.011.031.090.07 short
Match win rate45.1%45.2%46.6%1.5% short

This profile sits below the typical Pink band player on every metric we can compare.

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

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CSDB.GGNikaPREMIER16,879 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning56
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateTWWWWWLLWL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim5.0
Aggression9.3
Utility5.2
Positioning5.6
Opening Duels4.3
Clutch4.6

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

sh1ro

Plays most like sh1ro 85% playstyle similarity

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

Where you differ: 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 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim5.0
Positioning5.6
Utility5.2
Mechanics3.7
Opening Duels4.3
Win Impact9.8

Composite 5.4/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time571ms−74ms
first ⅓ avg 645ms → last ⅓ avg 571ms
Headshot accuracy14.2%−2.1%
first ⅓ avg 16.3% → last ⅓ avg 14.2%

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

0.28Best rating — vertigo 9–1
130Biggest win — nuke
7Longest win streak
78In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 67% over 6mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A34211362%-0.00
nukeB22101245%0.00
infernoC146843%-0.01
anubisC94544%-0.00
mirageD82625%-0.02
cacheS64267%-0.01
ancientD62433%-0.01
vertigo110100%0.28

Across the last 100 tracked matches.

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

Lifetime stats

75,825Lifetime kills
1.01K/D
4,436Matches
45.1%Match win rate
40.4%Headshot %
1.5%Shot accuracy
8,594MVPs
1,587Hours (in match)
5,194Bombs planted
671Bombs defused

Most-used weapons

AK-4721,815
AWP8,446
MAC-102,903
MP72,576
SG 5531,710
Tec-91,322

Lifetime map wins

13,362dust2
6,869nuke
3,827inferno
1,873vertigo
913train
55office
2italy
2ar_shoots

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

Faceit stats

Combat

85Matches
55%Win rate
0.96Avg K/D
80.7ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
7%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust22462%1.0215.5
Mirage2352%0.9013.3
Cache1533%0.9516.3
Nuke743%0.889.7
Ancient667%0.9517.3
Anubis475%0.9214.3
Overpass3100%1.3616.3
Inferno250%0.7618.0

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.

14.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.0%Spray accuracy
66.6%Counter-strafing
9.4°Preaim
571msReaction time
38.1%T opening success
56.6%CT opening success
0.72Enemies flashed / flash
3.7%Flash assists
9.14HE damage / grenade
6.75Flashes / 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 14.791% — 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 38.07% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0311%28 Aug
nuke13–40.0823%28 Aug
vertigo9–10.287%28 Aug
dust213–60.0323%28 Aug
cache13–50.0313%27 Aug
nuke13–90.1017%27 Aug
anubis2–13-0.0617%27 Aug
inferno11–13-0.0314%26 Aug
dust213–11-0.0411%26 Aug
nuke8–13-0.0515%26 Aug
nuke6–13-0.017%26 Aug
nuke13–6-0.0426%25 Aug
ancient11–13-0.067%25 Aug
dust28–13-0.0019%24 Aug
inferno13–90.0027%24 Aug
ancient16–130.0516%24 Aug
nuke2–13-0.0313%24 Aug
nuke13–3-0.006%24 Aug
dust213–40.0212%24 Aug
cache13–6-0.0117%23 Aug
nuke11–130.0110%23 Aug
mirage13–9-0.0626%23 Aug
dust25–130.0118%23 Aug
dust213–10-0.0414%22 Aug
dust213–100.069%22 Aug
mirage13–100.0710%22 Aug
dust216–120.0518%22 Aug
dust213–5-0.0212%22 Aug
anubis13–160.0312%22 Aug
ancient15–150.0014%22 Aug
inferno13–8-0.069%22 Aug
dust211–13-0.039%21 Aug
dust29–13-0.028%20 Aug
mirage8–130.038%20 Aug
anubis13–5-0.106%20 Aug
dust213–100.0317%19 Aug
nuke12–120.0513%19 Aug
cache4–130.0213%19 Aug
nuke9–130.0315%18 Aug
dust213–10-0.0116%18 Aug
dust213–16-0.0213%18 Aug
ancient13–110.0413%17 Aug
mirage6–13-0.0415%17 Aug
dust20–13-0.0214%17 Aug
inferno2–13-0.0522%17 Aug
anubis13–10.0712%17 Aug
inferno19–17-0.0213%16 Aug
anubis10–13-0.0126%12 Aug
inferno3–13-0.0523%12 Aug
nuke13–7-0.0427%12 Aug
dust210–13-0.0322%12 Aug
nuke13–100.0521%11 Aug
cache2–13-0.0117%9 Aug
inferno5–13-0.0818%8 Aug
inferno8–130.0411%8 Aug
dust215–15-0.0219%7 Aug
dust216–140.0220%7 Aug
nuke13–9-0.0510%7 Aug
nuke14–16-0.0418%6 Aug
cache13–11-0.0614%6 Aug
dust213–60.0511%6 Aug
mirage5–13-0.0910%5 Aug
inferno13–100.0611%5 Aug
dust26–13-0.0116%5 Aug
anubis4–130.0121%2 Aug
dust213–100.0925%2 Aug
mirage9–13-0.078%2 Aug
nuke15–150.0120%2 Aug
inferno15–150.0011%2 Aug
inferno13–80.0415%2 Aug
dust213–60.1012%2 Aug
dust213–70.0017%1 Aug
dust213–9-0.0212%1 Aug
dust213–11-0.0017%1 Aug
dust213–10-0.0612%1 Aug
nuke13–90.0219%1 Aug
dust210–13-0.0610%1 Aug
nuke6–13-0.009%1 Aug
inferno11–130.0415%31 Jul
nuke13–00.0317%31 Jul
anubis11–13-0.069%31 Jul
inferno13–60.0019%31 Jul
nuke9–13-0.0416%31 Jul
dust213–50.0238%31 Jul
dust213–8-0.0535%31 Jul
nuke11–130.0211%30 Jul
nuke7–13-0.0320%30 Jul
cache13–9-0.0511%30 Jul
inferno12–16-0.0012%30 Jul
anubis13–90.0524%30 Jul
ancient10–13-0.0319%27 Jul
dust28–130.0113%27 Jul
anubis13–100.0414%27 Jul
dust213–9-0.0421%26 Jul
ancient7–13-0.0413%26 Jul
mirage10–13-0.0114%26 Jul
dust216–14-0.0113%26 Jul
nuke13–80.0214%26 Jul
mirage12–16-0.0117%26 Jul
dust210–130.0122%25 Jul

Match data via Leetify.

Recent teammates

Milestones

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