balls — CS2 Stats

76561199144517206[U:1:1184251478]✓ No bans

306Tracked matches30%Win rate2023Tracked since
279Hours in CS6Hrs last 2 wks
CSDB Rating3.7 LearningPassive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate60.9%42.7%44.0%above
Shot accuracy0.9%10.8%11.6%10.7% short
Kill/death ratio0.711.001.030.32 short
Match win rate43.6%44.1%45.1%1.5% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGballsFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning32
Utility9

0–100 skill scores via Leetify.

Recent form

COLD365212Last 10036%Win rateWLLWLLLTLT

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

Player DNA

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

Aim6.1
Aggression2.4
Utility0.9
Positioning3.2
Opening Duels0.0
Clutch0.0

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

NiKo

Plays most like NiKo 65% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 46% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim6.1
Positioning3.2
Utility0.9
Mechanics6.3
Opening Duels1.9
Win Impact0.0

Composite 3.7/10 (Learning), 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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time610ms−36ms
first ⅓ avg 646ms → last ⅓ avg 610ms
Headshot accuracy19.0%−4.7%
first ⅓ avg 23.7% → last ⅓ avg 19.0%

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

0.14Best rating — boulder 1–7
131Biggest win — anubis
3Longest win streak
77In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC1771041%-0.04
anubisA138562%-0.05
vertigoD1221017%-0.04
infernoC104640%-0.04
dust2B84450%-0.02
trainD72529%-0.02
ancientD71614%-0.03
officeD61517%-0.05
overpassD51420%-0.01
boulder41325%0.05
fachwerk43175%-0.05
nuke3030%-0.04
cache21150%-0.05
shelter110100%0.04
italy1010%-0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,504Lifetime kills
0.71K/D
381Matches
43.6%Match win rate
60.9%Headshot % · Top 5% of Level 4 players
0.9%Shot accuracy
474MVPs
135Hours (in match)
174Bombs planted
62Bombs defused

Most-used weapons

Lifetime map wins

403inferno
307dust2
269vertigo
194nuke
179train
110office
54italy
6militia

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

Faceit stats

Combat

16Matches
38%Win rate
0.60Avg K/D
44.1ADR
68%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.376.0
Ancient540%0.9512.0
Overpass2100%0.519.5
Inferno1100%0.4510.0
Vertigo10%0.569.0
Anubis10%0.306.0
Nuke10%0.6710.0

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.

19.4%Headshot accuracy
32.0%Accuracy (enemy spotted)
30.5%Spray accuracy
78.5%Counter-strafing
9.0°Preaim
616msReaction time
9.4%T opening success
45.5%CT opening success
0.04Enemies flashed / flash
0.0%Flash assists
7.70HE damage / grenade
0.30Flashes / 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 0.0417 — 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 9.4271% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–1-0.0415%23 Aug
mirage5–13-0.0727%23 Aug
train8–13-0.0313%21 Aug
mirage13–8-0.057%21 Aug
dust210–13-0.0418%20 Aug
train5–13-0.0614%19 Aug
ancient3–13-0.0214%19 Aug
train12–12-0.0124%12 Aug
train6–13-0.0417%12 Aug
anubis12–12-0.0817%11 Aug
inferno7–13-0.0133%11 Aug
ancient12–12-0.0814%11 Aug
mirage7–13-0.0621%3 Aug
vertigo6–13-0.0418%3 Aug
vertigo5–13-0.0525%3 Aug
anubis2–13-0.0729%3 Aug
boulder5–130.0227%3 Aug
ancient13–110.0626%3 Aug
ancient1–5-0.060%3 Aug
inferno8–8-0.0919%3 Aug
vertigo8–13-0.0530%31 Jul
dust28–8-0.048%25 Jul
mirage10–13-0.0221%25 Jul
anubis13–5-0.0810%24 Jul
vertigo4–13-0.0420%23 Jul
mirage4–13-0.128%23 Jul
boulder13–110.0433%18 Jul
fachwerk11–13-0.0614%18 Jul
dust213–110.0235%18 Jul
fachwerk13–5-0.0913%16 Jul
anubis13–5-0.108%16 Jul
vertigo8–13-0.1018%16 Jul
train13–8-0.0033%16 Jul
inferno11–13-0.0529%16 Jul
train9–13-0.0021%16 Jul
mirage8–13-0.0630%15 Jul
mirage6–13-0.0810%15 Jul
inferno13–11-0.0129%15 Jul
boulder2–13-0.0127%13 Jul
dust213–60.0332%13 Jul
inferno6–130.0223%12 Jul
mirage13–7-0.0216%12 Jul
anubis6–13-0.0518%12 Jul
office8–13-0.0529%11 Jul
fachwerk13–6-0.0235%10 Jul
vertigo12–12-0.0520%10 Jul
boulder1–70.1453%10 Jul
shelter13–60.0420%10 Jul
fachwerk13–11-0.0333%10 Jul
cache13–10-0.0514%8 Jul
office9–13-0.1021%8 Jul
nuke5–13-0.058%2 Jul
inferno13–6-0.0912%2 Jul
nuke12–12-0.0012%24 Jun
ancient7–13-0.0512%24 Jun
dust212–120.0228%24 Jun
overpass7–130.0327%18 Jun
train10–20.0231%18 Jun
mirage11–13-0.0520%18 Jun
mirage13–30.0414%18 Jun
dust213–3-0.040%18 Jun
ancient12–120.0220%17 Jun
inferno8–2-0.0411%17 Jun
overpass13–80.0117%11 Jun
dust213–8-0.0411%11 Jun
mirage10–13-0.0614%11 Jun
mirage8–13-0.0417%9 Jun
vertigo11–13-0.0531%9 Jun
anubis12–120.0429%9 Jun
mirage13–11-0.0429%8 Jun
office11–13-0.0327%8 Jun
ancient4–13-0.0813%8 Jun
anubis13–10-0.0817%7 Jun
dust25–13-0.0825%7 Jun
italy12–12-0.1024%4 Jun
office4–13-0.0146%4 Jun
office13–4-0.0341%4 Jun
mirage13–6-0.0610%4 Jun
vertigo8–13-0.0436%4 Jun
vertigo10–13-0.0426%4 Jun
anubis13–11-0.0420%2 Jun
inferno13–5-0.0624%2 Jun
overpass12–12-0.0617%2 Jun
anubis13–10-0.0711%31 May
vertigo13–10-0.059%31 May
inferno1–13-0.0242%31 May
overpass9–13-0.0137%28 May
anubis13–9-0.0425%28 May
mirage13–9-0.0314%27 May
inferno11–13-0.049%27 May
office1–13-0.0829%27 May
anubis5–13-0.0722%27 May
anubis13–8-0.0114%27 May
mirage10–13-0.0526%26 May
cache8–13-0.0515%25 May
mirage13–80.0320%25 May
nuke6–13-0.0714%25 May
vertigo7–13-0.0615%25 May
overpass12–12-0.0320%22 May
vertigo9–30.0547%22 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 →