Splashy<3 — CS2 Stats

76561198409048931[U:1:448783203]

1,027Tracked matches59%Win rate2023Tracked since
533Hours in CS
CSDB Rating4.3 Developing
Premier CS Rating15,153Purple band · top ~27.8% of ranked players (population est.)
CSDB Leaderboard#32817 of 55338 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.0%44.2%47.1%6.1% short
Shot accuracy7.0%11.6%12.8%5.8% short
Kill/death ratio0.931.031.080.15 short
Match win rate41.2%45.2%46.6%5.4% short

This profile sits below the typical Pink band player on every metric we can compare.

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.GGSplashy<3PREMIER15,153 · Purple bandcsdb.gg/stats

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Performance scores

Aim38
Positioning37
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateWLLWWLWLWW

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

Player DNA

Aim3.8
Aggression2.2
Utility5.6
Positioning3.7
Opening Duels0.2

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 70% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 43% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.8
Positioning3.7
Utility5.6
Mechanics4.0
Opening Duels1.6
Win Impact7.9

Composite 4.3/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time648ms−46ms
first ⅓ avg 693ms → last ⅓ avg 648ms
Headshot accuracy16.7%+0.6%
first ⅓ avg 16.1% → last ⅓ avg 16.7%

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

0.21Best rating — dust2 6–1
132Biggest win — dust2
4Longest win streak
141In matches decided by ≤2 rounds
18Overtime games

Map breakdown

mirageBest map · 61% over 31nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A36211558%0.00
mirageA31191261%-0.00
infernoC146843%-0.01
nukeD124833%-0.03
anubis2020%-0.07
overpass2020%-0.04
train220100%0.04
ancient110100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,642Lifetime kills
0.93K/D
1,691Matches
41.2%Match win rate
41.0%Headshot %
7.0%Shot accuracy
2,563MVPs
533Hours (in match)
499Bombs planted
168Bombs defused

Most-used weapons

Lifetime map wins

4,991dust2
1,122inferno
862nuke
627vertigo
111train
49lake
11office
9assault

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.

16.6%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.6%Spray accuracy
67.9%Counter-strafing
11.8°Preaim
664msReaction time
18.8%T opening success
42.5%CT opening success
0.56Enemies flashed / flash
2.6%Flash assists
9.76HE damage / grenade
13.93Flashes / 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 18.8473% — below the 40% mark we flag

Spend your practice time on Nuke

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 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0215%17 May
inferno8–130.012%17 May
mirage4–13-0.059%17 May
nuke13–40.1122%16 May
mirage10–10.0215%16 May
dust23–13-0.0026%16 May
nuke13–3-0.016%16 May
inferno10–13-0.1011%16 May
dust216–130.0021%16 May
dust213–2-0.0729%9 May
mirage13–11-0.0513%9 May
dust216–13-0.0411%9 May
nuke15–15-0.0314%26 Apr
dust213–40.0116%26 Apr
dust22–130.0027%24 Apr
inferno13–11-0.0311%24 Apr
nuke8–13-0.0121%24 Apr
mirage13–40.0012%24 Apr
inferno12–16-0.0615%18 Apr
nuke10–13-0.0126%18 Apr
nuke13–50.0314%18 Apr
nuke4–13-0.1025%12 Apr
mirage13–80.1019%12 Apr
inferno13–10-0.0441%11 Apr
mirage7–13-0.0516%11 Apr
dust216–14-0.028%9 Apr
mirage13–10-0.017%30 Mar
mirage16–130.0012%30 Mar
mirage6–13-0.0229%1 Mar
mirage10–13-0.0317%1 Mar
dust29–6-0.0322%1 Mar
anubis0–13-0.100%23 Feb
mirage13–60.0619%22 Feb
dust22–13-0.078%22 Feb
mirage13–80.0113%22 Feb
dust29–130.0419%19 Feb
inferno7–13-0.107%19 Feb
dust213–80.0614%17 Feb
dust213–16-0.0617%16 Feb
inferno13–60.0214%16 Feb
dust210–13-0.0417%16 Feb
mirage10–13-0.0617%14 Feb
dust213–80.0438%14 Feb
mirage13–30.0819%14 Feb
dust21–13-0.0911%14 Feb
ancient13–110.015%14 Feb
dust213–70.023%14 Feb
mirage6–40.0713%14 Feb
mirage13–8-0.0113%14 Feb
dust26–13-0.069%14 Feb
mirage7–13-0.0420%12 Feb
inferno9–13-0.0020%12 Feb
dust213–160.0118%12 Feb
dust213–70.0620%11 Feb
dust216–13-0.0316%10 Feb
mirage16–12-0.008%10 Feb
inferno8–130.0311%10 Feb
dust213–110.0133%9 Feb
inferno13–90.0224%9 Feb
overpass9–13-0.0314%9 Feb
dust27–130.0311%8 Feb
anubis3–13-0.0524%8 Feb
nuke8–13-0.0315%6 Feb
nuke13–3-0.0816%6 Feb
mirage5–13-0.0435%6 Feb
mirage13–110.0314%4 Feb
dust216–14-0.0310%4 Feb
overpass6–13-0.0413%12 Jan
mirage16–14-0.0511%18 Dec
dust216–140.0722%9 Dec
dust213–50.1019%9 Dec
dust27–13-0.0114%30 Nov
mirage8–13-0.0711%30 Nov
inferno7–13-0.0217%30 Nov
mirage15–150.0116%30 Nov
dust215–15-0.0421%25 Nov
nuke10–13-0.0317%25 Nov
train16–120.0715%23 Nov
mirage2–13-0.0530%23 Nov
dust26–13-0.0322%23 Nov
mirage16–14-0.0818%23 Nov
inferno13–110.0517%19 Nov
dust212–12-0.0225%19 Nov
nuke0–5-0.1030%19 Nov
nuke10–13-0.0515%18 Nov
dust213–50.0517%18 Nov
dust26–10.2112%18 Nov
mirage13–11-0.0315%17 Nov
dust25–13-0.067%17 Nov
dust216–130.0411%16 Nov
mirage8–130.0218%16 Nov
mirage11–13-0.0312%16 Nov
mirage13–70.0111%13 Nov
dust213–11-0.048%13 Nov
mirage13–70.119%13 Nov
mirage13–50.0015%12 Nov
inferno8–130.0229%12 Nov
inferno13–20.0014%12 Nov
train13–100.016%11 Nov
dust213–90.0516%11 Nov

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 →