ImNiike — CS2 Stats

76561198831894657[U:1:871628929]

803Tracked matches41%Win rate2025Tracked since
403Hours in CS
CSDB Rating5.0 DevelopingHybrid Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate41.0%41.2%42.2%1.2% short
Shot accuracy0.0%12.5%11.9%11.9% short
Kill/death ratio1.000.960.98above
Match win rate50.1%42.8%43.6%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGImNiikeFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning43
Utility57

0–100 skill scores via Leetify.

Recent form

COLD48502Last 10048%Win rateWLLLLLLWLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim6.4
Aggression5.2
Utility5.7
Positioning4.3
Opening Duels1.2
Clutch0.0

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 612ms 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

Aim6.4
Positioning4.3
Utility5.7
Mechanics7.0
Opening Duels1.3
Win Impact2.1

Composite 5.0/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time604ms−48ms
first ⅓ avg 652ms → last ⅓ avg 604ms
Headshot accuracy14.4%+1.2%
first ⅓ avg 13.2% → last ⅓ avg 14.4%

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

0.17Best rating — nuke 9–7
133Biggest win — nuke
7Longest win streak
78In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
infernoD2791833%-0.00
nukeA1911858%0.01
ancientB137654%0.00
overpassB137654%0.00
anubisS75271%0.04
mirageC73443%-0.01
cacheD62433%-0.02
dust2A53260%-0.01
train21150%0.04
vertigo1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,268Lifetime kills
1.00K/D · Top 50% of Level 2 players
1,059Matches
50.1%Match win rate · Top 10% of Level 2 players
41.0%Headshot %
0.0%Shot accuracy
2,461MVPs
403Hours (in match)
1,445Bombs planted
291Bombs defused

Most-used weapons

Lifetime map wins

1,726nuke
1,701inferno
1,450dust2
832train
171vertigo
13office

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

Faceit stats

Combat

6Matches
33%Win rate
0.86Avg K/D
87.9ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.9214.3
Inferno10%0.6210.0
Mirage10%1.1121.0
Train1100%0.6911.0

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.

13.5%Headshot accuracy
35.6%Accuracy (enemy spotted)
35.9%Spray accuracy
81.5%Counter-strafing
9.6°Preaim
612msReaction time
29.0%T opening success
40.2%CT opening success
0.63Enemies flashed / flash
5.1%Flash assists
9.03HE damage / grenade
10.34Flashes / 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 13.5411% — 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 29.0208% — below the 40% mark we flag

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.

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–90.0111%16 Aug
inferno7–13-0.0717%6 Aug
inferno6–13-0.087%4 Aug
dust27–130.0116%1 Aug
nuke12–16-0.0214%30 Jul
cache10–13-0.028%30 Jul
inferno8–13-0.016%28 Jul
inferno13–10-0.0416%28 Jul
ancient11–13-0.0310%28 Jul
ancient16–130.0511%28 Jul
inferno15–150.0518%25 Jul
nuke13–8-0.006%25 Jul
ancient6–13-0.0320%22 Jul
ancient16–120.0314%17 Jul
nuke13–30.0315%17 Jul
nuke11–13-0.0514%15 Jul
ancient14–16-0.0415%15 Jul
nuke9–130.0114%14 Jul
dust26–0-0.118%14 Jul
inferno2–11-0.056%1 Jul
train3–130.0129%23 Jun
overpass13–70.0215%20 Jun
inferno4–13-0.099%14 Jun
ancient6–130.0314%11 Jun
dust213–4-0.0121%7 Jun
ancient13–110.0220%7 Jun
dust27–130.0518%7 Jun
overpass13–9-0.0411%7 Jun
nuke13–8-0.0313%7 Jun
nuke5–13-0.0613%7 Jun
anubis13–40.0822%7 Jun
anubis7–130.0620%7 Jun
ancient13–30.0525%7 Jun
anubis13–7-0.0411%4 Jun
inferno13–10-0.0114%2 Jun
overpass13–60.0822%1 Jun
inferno16–140.0216%30 May
inferno13–100.0717%29 May
nuke13–70.025%28 May
nuke6–13-0.0216%28 May
ancient4–10-0.0621%27 May
nuke3–90.0029%26 May
inferno15–15-0.0017%25 May
mirage2–13-0.0516%25 May
nuke13–80.0110%25 May
inferno13–110.0117%25 May
ancient13–40.0720%23 May
anubis13–100.0615%22 May
inferno13–10-0.0115%22 May
overpass5–13-0.015%22 May
overpass13–70.0610%22 May
inferno3–130.0419%21 May
vertigo7–9-0.0711%20 May
inferno7–90.0019%20 May
nuke9–60.108%20 May
nuke9–70.1717%20 May
inferno7–13-0.0217%17 May
mirage5–13-0.0513%17 May
anubis13–100.028%17 May
overpass1–60.0010%16 May
inferno11–13-0.0114%16 May
nuke13–6-0.0218%16 May
overpass13–110.0411%16 May
nuke13–7-0.0216%15 May
overpass1–13-0.1211%15 May
inferno13–50.0412%15 May
inferno13–70.1026%15 May
overpass5–13-0.0415%15 May
inferno13–160.0116%14 May
mirage13–9-0.016%13 May
cache10–13-0.0410%13 May
mirage13–50.0615%13 May
mirage13–7-0.1013%13 May
inferno6–13-0.0214%9 May
nuke13–90.0210%9 May
anubis13–90.0415%8 May
inferno14–16-0.0113%7 May
ancient13–3-0.059%7 May
cache13–70.0414%7 May
inferno10–130.0415%7 May
ancient13–110.0210%7 May
nuke13–70.098%6 May
cache13–7-0.0113%6 May
overpass13–110.0418%4 May
cache11–130.0029%1 May
cache6–13-0.0919%29 Apr
overpass8–13-0.0013%28 Apr
mirage7–130.0314%27 Apr
overpass13–30.0614%27 Apr
inferno9–13-0.119%26 Apr
inferno8–130.0510%25 Apr
overpass13–16-0.094%25 Apr
anubis10–130.0310%25 Apr
mirage10–130.0220%25 Apr
nuke6–13-0.0011%25 Apr
nuke7–130.0310%25 Apr
ancient4–13-0.0113%25 Apr
train7–00.0711%25 Apr
inferno12–16-0.0213%24 Apr
inferno13–60.0719%24 Apr

Match data via Leetify.

Recent teammates

Milestones

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