great white — CS2 Stats

76561197997031197[U:1:36765469]✓ No bans

592Tracked matches32%Win rate2021Tracked since
768Hours in CS7Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating19,079Purple band · top ~12.2% of ranked players (population est.)
CSDB Leaderboard#6635 of 13124 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate62.7%48.1%above
Shot accuracy5.6%12.9%7.3% short
Kill/death ratio1.011.080.07 short
Match win rate46.2%46.5%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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.GGgreat whitePREMIER19,079 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateLWLWWWLWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

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

Aim6.7
Aggression7.3
Utility4.8
Positioning5.6
Opening Duels2.3

Limited 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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 637ms 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
Positioning5.6
Utility4.8
Mechanics6.4
Opening Duels2.3
Win Impact0.0

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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time638ms−14ms
first ⅓ avg 652ms → last ⅓ avg 638ms
Headshot accuracy23.4%−1.7%
first ⅓ avg 25.1% → last ⅓ avg 23.4%

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

0.22Best rating — inferno 13–3
132Biggest win — cache
7Longest win streak
87In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 59% over 17dust2Weakest map · 48% over 25
MapGradePlayedRecordWin rateAvg rating
dust2B25121348%0.01
mirageB21101148%-0.00
infernoA1710759%0.01
ancientB126650%-0.01
anubisB84450%-0.01
cacheA74357%0.00
nuke42250%0.02
train2020%-0.05
boulder1010%-0.04
poseidon110100%-0.10
vertigo110100%-0.01
alpine1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (48% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,272Lifetime kills
1.01K/D
1,469Matches
46.2%Match win rate
62.7%Headshot % · Top 10% of tracked players
5.6%Shot accuracy
2,750MVPs
524Hours (in match)
1,096Bombs planted
253Bombs defused

Most-used weapons

Lifetime map wins

2,881dust2
1,723inferno
952nuke
772vertigo
475train
63office
36cbble
23aztec

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.9%Headshot accuracy
32.0%Accuracy (enemy spotted)
31.8%Spray accuracy
78.6%Counter-strafing
9.0°Preaim
637msReaction time
34.0%T opening success
44.0%CT opening success
0.62Enemies flashed / flash
6.7%Flash assists
10.13HE damage / grenade
4.56Flashes / 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 34.0398% — below the 40% mark we flag

Spend your practice time on Dust 2

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

48% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0244%27 Aug
cache13–20.0743%27 Aug
ancient4–13-0.0226%23 Aug
inferno16–140.0528%22 Aug
inferno13–11-0.0127%22 Aug
mirage13–8-0.0528%16 Aug
dust211–130.0824%16 Aug
inferno13–3-0.0324%15 Aug
cache11–13-0.0218%14 Aug
dust213–100.0520%14 Aug
dust213–40.0221%14 Aug
inferno13–16-0.0217%14 Aug
cache9–13-0.0821%14 Aug
ancient2–13-0.0226%11 Aug
dust211–130.0421%11 Aug
mirage9–13-0.0711%11 Aug
inferno7–90.0220%9 Aug
mirage13–30.0225%9 Aug
dust23–13-0.0017%9 Aug
mirage12–12-0.0229%4 Aug
train12–12-0.0530%4 Aug
boulder8–13-0.0417%3 Aug
dust29–13-0.0124%3 Aug
mirage8–130.0429%2 Aug
dust27–130.0120%2 Aug
anubis3–130.0229%2 Aug
inferno4–13-0.0321%2 Aug
mirage13–10-0.0219%1 Aug
inferno10–13-0.0633%1 Aug
dust20–13-0.0919%1 Aug
ancient1–13-0.130%1 Aug
ancient8–130.0116%1 Aug
dust213–8-0.0426%31 Jul
ancient16–13-0.0123%30 Jul
mirage5–13-0.0220%30 Jul
dust213–11-0.0227%30 Jul
nuke8–80.0620%30 Jul
poseidon9–4-0.1031%29 Jul
inferno9–50.0734%29 Jul
inferno13–7-0.0625%29 Jul
dust213–70.1229%29 Jul
ancient13–80.0319%22 Jul
dust215–15-0.0315%22 Jul
dust213–70.0224%19 Jul
mirage2–13-0.0332%19 Jul
anubis16–14-0.0319%19 Jul
dust22–130.0034%19 Jul
mirage13–90.0215%18 Jul
mirage13–7-0.0313%15 Jul
cache13–40.0317%15 Jul
ancient7–13-0.0513%13 Jul
dust24–130.0415%13 Jul
mirage13–5-0.0827%13 Jul
cache13–110.0018%13 Jul
ancient13–90.0417%13 Jul
dust213–110.0332%12 Jul
mirage10–130.0025%12 Jul
anubis13–50.0116%12 Jul
dust213–30.0633%12 Jul
mirage11–13-0.0216%12 Jul
dust213–90.0116%12 Jul
anubis2–13-0.0627%12 Jul
cache13–4-0.0022%12 Jul
inferno8–13-0.0028%12 Jul
inferno13–10-0.0119%7 Jul
anubis13–10-0.0520%7 Jul
ancient10–2-0.0117%7 Jul
mirage13–40.0120%7 Jul
nuke13–30.0026%7 Jul
dust213–9-0.0322%6 Jul
dust216–13-0.0024%6 Jul
mirage9–130.0022%6 Jul
inferno4–13-0.0116%28 Jun
anubis14–160.0121%28 Jun
inferno13–2-0.0125%28 Jun
ancient12–12-0.0424%28 Jun
vertigo13–8-0.0116%28 Jun
mirage13–30.0020%28 Jun
nuke13–9-0.0324%28 Jun
dust28–13-0.0816%28 Jun
anubis13–90.0124%26 Jun
nuke5–130.0521%26 Jun
cache2–130.0127%25 Jun
alpine0–13-0.0346%25 Jun
dust210–13-0.0010%25 Jun
mirage13–70.0926%25 Jun
mirage2–13-0.1117%25 Jun
dust216–140.0233%21 Jun
mirage13–160.0530%21 Jun
inferno13–60.0416%19 Jun
anubis7–130.0019%18 Jun
mirage16–140.0534%18 Jun
ancient13–40.0723%18 Jun
inferno11–130.0528%18 Jun
ancient13–6-0.0316%17 Jun
inferno9–6-0.0144%17 Jun
train12–12-0.0644%17 Jun
inferno13–30.2233%17 Jun
dust28–13-0.0221%15 Jun
mirage9–130.1241%15 Jun

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 →