CumStar — CS2 Stats

76561198835568534[U:1:875302806]

1,850Tracked matches61%Win rate2020Tracked since
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating23,693Top 50% of 819 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#4537 of 20894 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGCumStarPREMIER23,693 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning46
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY52426Last 10052%Win rateWLWWWLWWTL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim6.7
Aggression5.1
Utility6.7
Positioning4.6
Opening Duels2.3
Clutch6.6

Strong CT-side openerEffective flashes

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 89% playstyle similarity

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

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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim6.7
Positioning4.6
Utility6.7
Mechanics7.1
Opening Duels2.5
Win Impact8.6

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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time613ms−28ms
first ⅓ avg 641ms → last ⅓ avg 613ms
Headshot accuracy20.1%−0.3%
first ⅓ avg 20.4% → last ⅓ avg 20.1%

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 — mirage 13–4
131Biggest win — dust2
4Longest win streak
610In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 75% over 12infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB41221954%-0.02
dust2A23131057%-0.02
anubisS129375%-0.00
infernoD102820%-0.01
ancientC94544%-0.02
overpass31233%-0.03
nuke110100%-0.01
cache1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

354Matches
55%Win rate
0.86Avg K/D
71.2ADR
49%Headshot %

Clutches & streaks

53%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2665%0.8013.8
Anubis1127%0.7913.6
Vertigo540%0.7012.2
Dust2560%0.7612.0
Ancient30%0.6111.0
Inferno367%1.0616.0
Train1100%1.2719.0
Nuke10%0.539.0

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.

20.1%Headshot accuracy
31.5%Accuracy (enemy spotted)
32.4%Spray accuracy
82.1%Counter-strafing
8.8°Preaim
610msReaction time
28.7%T opening success
50.0%CT opening success
0.77Enemies flashed / flash
9.4%Flash assists
10.53HE damage / grenade
9.59Flashes / 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 28.7018% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–2-0.0320%18 Aug
dust25–13-0.0323%18 Aug
ancient13–9-0.0616%16 Aug
anubis13–70.0714%16 Aug
dust213–70.0419%16 Aug
ancient10–130.0113%16 Aug
dust216–12-0.0224%15 Aug
anubis13–10-0.0319%5 Aug
mirage15–15-0.0119%5 Aug
inferno10–130.0016%28 Jul
anubis13–8-0.0010%27 Jul
dust22–13-0.0423%24 Jul
mirage4–130.0131%18 Jul
mirage13–110.0014%18 Jul
mirage13–7-0.0221%18 Jul
anubis7–13-0.0423%9 Jul
nuke16–13-0.0126%9 Jul
inferno8–13-0.0119%3 Jul
mirage7–130.0026%3 Jul
dust29–13-0.0130%13 Jun
mirage5–13-0.0929%13 Jun
mirage13–5-0.0121%12 Jun
dust213–60.0125%12 Jun
mirage11–130.0121%9 Jun
dust213–10-0.0323%9 Jun
mirage15–150.0218%8 Jun
mirage16–13-0.0615%8 Jun
dust213–11-0.0320%30 May
inferno13–90.0415%30 May
anubis13–90.0417%26 May
overpass15–15-0.0913%26 May
dust26–13-0.0526%26 May
dust213–6-0.0215%25 May
anubis13–6-0.0022%25 May
mirage15–15-0.0320%23 May
mirage4–13-0.0622%22 May
anubis7–130.0016%20 May
mirage13–110.0413%9 May
mirage13–80.0121%9 May
dust213–9-0.0421%8 May
overpass16–130.0321%8 May
mirage7–13-0.0323%8 May
mirage13–4-0.0722%8 May
inferno6–100.0125%7 May
ancient13–11-0.0715%7 May
dust213–8-0.0022%7 May
overpass14–16-0.0422%4 May
ancient13–5-0.0116%4 May
mirage13–20.0513%4 May
mirage5–13-0.0624%3 May
dust215–15-0.0613%3 May
cache11–13-0.0124%2 May
dust213–90.0415%27 Apr
mirage13–10-0.0125%27 Apr
inferno8–13-0.0411%20 Apr
mirage13–30.0429%20 Apr
mirage13–40.0716%19 Apr
dust211–13-0.0617%18 Apr
mirage13–10-0.0517%18 Apr
dust213–4-0.0017%18 Apr
anubis13–110.0622%17 Apr
inferno13–3-0.0316%17 Apr
dust29–13-0.0212%17 Apr
ancient7–13-0.0422%10 Apr
mirage13–4-0.0210%10 Apr
inferno3–5-0.0119%10 Apr
anubis14–16-0.0124%10 Apr
mirage2–13-0.0427%9 Apr
dust212–120.0326%6 Apr
mirage3–130.018%6 Apr
mirage13–8-0.0221%4 Apr
mirage11–13-0.0019%2 Apr
mirage11–13-0.0333%2 Apr
anubis13–8-0.0423%26 Mar
mirage9–13-0.0019%26 Mar
dust29–13-0.0743%21 Mar
mirage13–16-0.0421%21 Mar
mirage11–13-0.0625%20 Mar
ancient10–13-0.0315%20 Mar
mirage16–13-0.0422%20 Mar
mirage13–80.0116%20 Mar
anubis13–10-0.0113%20 Mar
dust213–100.0223%19 Mar
mirage3–13-0.0819%19 Mar
ancient13–7-0.0520%16 Mar
ancient11–130.0124%16 Mar
dust213–10.028%15 Mar
ancient5–130.0124%10 Mar
mirage13–9-0.0612%10 Mar
dust23–13-0.0218%10 Mar
mirage13–6-0.104%10 Mar
mirage13–90.0025%10 Mar
inferno10–13-0.0223%9 Mar
dust213–9-0.0921%7 Mar
inferno0–4-0.0617%7 Mar
inferno4–13-0.0029%7 Mar
mirage13–7-0.0618%6 Mar
mirage5–20.0519%6 Mar
anubis13–11-0.0623%6 Mar
mirage7–13-0.0516%6 Mar

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 →