SUPERSTAR ★ — CS2 Stats

76561199098038387[U:1:1137772659]✓ No bans

1,803Tracked matches68%Win rate2023Tracked since
820Hours in CS
CSDB Rating2.8 Learning
Premier CS Rating15,637Purple band · top ~25.9% of ranked players (population est.)
CSDB Leaderboard#15884 of 26052 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 rate34.2%42.5%44.2%10.0% short
Shot accuracy1.5%10.9%11.2%9.7% short
Kill/death ratio0.680.991.040.36 short
Match win rate42.4%44.2%45.3%2.9% short

This profile sits below the typical Level 5 player on every metric we can compare.

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.

Share this profile

CSDB.GGSUPERSTAR ★FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,637 · Purple bandcsdb.gg/stats

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Performance scores

Aim25
Positioning25
Utility28

0–100 skill scores via Leetify.

Recent form

HOT54379Last 10054%Win rateWLWLWWWWWW

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

Player DNA

Aim2.5
Aggression0.3
Utility2.8
Positioning2.5
Opening Duels0.0

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 59% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower 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. 582ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim2.5
Positioning2.5
Utility2.8
Mechanics0.8
Opening Duels0.0
Win Impact10.0

Composite 2.8/10 (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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time586ms−58ms
first ⅓ avg 645ms → last ⅓ avg 586ms
Headshot accuracy10.7%−0.1%
first ⅓ avg 10.8% → last ⅓ avg 10.7%

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

0.07Best rating — dust2 13–10
130Biggest win — cache
6Longest win streak
147In matches decided by ≤2 rounds
18Overtime games

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB28151354%-0.04
mirageB24131154%-0.03
dust2A2113862%-0.02
cacheS128467%-0.04
ancientC104640%-0.04
anubis21150%-0.01
nuke2020%-0.05
overpass1010%-0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,123Lifetime kills
0.68K/D
2,074Matches
42.4%Match win rate
34.2%Headshot %
1.5%Shot accuracy
2,415MVPs
820Hours (in match)
2,346Bombs planted
393Bombs defused

Most-used weapons

Lifetime map wins

4,053inferno
2,498nuke
2,268dust2
1,685vertigo
155office
113train
5cbble
5ar_shoots

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

Faceit stats

Combat

1Matches
0%Win rate
0.29Avg K/D
ADR
0%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

10.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
30.2%Spray accuracy
53.4%Counter-strafing
11.4°Preaim
582msReaction time
14.0%T opening success
20.8%CT opening success
0.22Enemies flashed / flash
3.0%Flash assists
12.45HE damage / grenade
0.34Flashes / 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 10.6702% — below the 15% mark we flag

    Aim Training
  2. 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 0.2225 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 14.0051% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–13-0.0613%28 Aug
inferno6–13-0.0316%28 Aug
dust213–50.0310%27 Aug
inferno10–13-0.063%27 Aug
inferno13–11-0.029%23 Aug
dust213–10-0.027%23 Aug
mirage13–11-0.0311%23 Aug
dust213–10-0.086%23 Aug
cache13–0-0.055%23 Aug
inferno13–90.0213%23 Aug
ancient11–13-0.087%22 Aug
inferno5–13-0.0914%22 Aug
dust213–9-0.0117%22 Aug
cache15–15-0.062%22 Aug
inferno16–12-0.069%22 Aug
inferno13–9-0.027%22 Aug
dust213–8-0.015%21 Aug
inferno13–10.0217%21 Aug
cache13–16-0.086%21 Aug
ancient8–13-0.099%21 Aug
mirage13–50.0012%21 Aug
mirage16–130.0110%21 Aug
inferno9–13-0.1014%20 Aug
mirage15–15-0.0313%20 Aug
inferno13–8-0.088%19 Aug
inferno8–130.0111%19 Aug
ancient16–14-0.0620%19 Aug
inferno16–14-0.0119%19 Aug
mirage11–13-0.0713%19 Aug
mirage13–7-0.0414%18 Aug
mirage7–13-0.0613%17 Aug
mirage13–8-0.022%17 Aug
dust211–13-0.0318%17 Aug
cache15–15-0.0312%17 Aug
inferno13–16-0.078%16 Aug
dust210–13-0.0511%16 Aug
dust215–15-0.0410%16 Aug
inferno13–9-0.0413%16 Aug
mirage13–6-0.029%16 Aug
mirage11–13-0.0310%15 Aug
inferno6–13-0.0410%15 Aug
cache13–20.0412%15 Aug
dust213–110.0110%15 Aug
dust213–110.0013%15 Aug
dust213–7-0.0435%14 Aug
inferno6–13-0.104%14 Aug
mirage10–13-0.059%14 Aug
inferno13–9-0.0213%14 Aug
overpass6–9-0.1311%14 Aug
mirage15–15-0.0216%13 Aug
inferno2–13-0.0619%13 Aug
dust28–13-0.0213%13 Aug
cache13–5-0.1112%13 Aug
mirage13–60.0122%11 Aug
ancient12–16-0.0418%11 Aug
cache16–14-0.0513%11 Aug
mirage1–13-0.0515%11 Aug
inferno13–11-0.029%10 Aug
cache6–13-0.0421%10 Aug
anubis6–130.0116%10 Aug
nuke1–13-0.0920%10 Aug
mirage13–80.049%9 Aug
dust213–100.0720%9 Aug
cache13–9-0.0116%9 Aug
ancient6–13-0.088%9 Aug
inferno13–110.0116%9 Aug
nuke8–8-0.0121%9 Aug
mirage16–12-0.065%9 Aug
inferno15–15-0.066%8 Aug
dust213–11-0.0613%8 Aug
inferno13–90.0217%8 Aug
ancient13–40.0520%8 Aug
dust213–80.036%8 Aug
cache13–4-0.038%8 Aug
dust26–13-0.0620%8 Aug
mirage13–11-0.0615%8 Aug
inferno13–7-0.0111%8 Aug
ancient8–13-0.0211%8 Aug
inferno3–9-0.1915%8 Aug
mirage9–13-0.093%7 Aug
inferno11–13-0.017%7 Aug
mirage13–70.018%3 Aug
inferno13–70.0213%3 Aug
dust213–40.0210%3 Aug
dust29–13-0.0714%3 Aug
inferno11–13-0.0820%3 Aug
mirage9–13-0.0111%3 Aug
mirage13–11-0.0219%3 Aug
cache13–50.017%2 Aug
ancient13–11-0.0514%2 Aug
dust27–13-0.076%2 Aug
ancient2–13-0.086%2 Aug
cache13–9-0.038%2 Aug
anubis13–9-0.038%2 Aug
mirage13–40.029%2 Aug
inferno13–110.0117%31 Jul
mirage15–15-0.047%31 Jul
dust215–150.0410%31 Jul
ancient13–20.063%31 Jul
mirage11–13-0.049%31 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 →