Dave

Dave — CS2 Stats

MV76561199165579631[U:1:1205313903]Steam profile ↗✓ No bans

216Tracked matches50%Win rate2021Tracked since
109Hours in CS
CSDB Rating4.3 Developing
Premier CS Rating15,113Purple band · top ~28% of ranked players (population est.)
CSDB Leaderboard#19754 of 32113 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 rate48.9%44.1%47.2%above
Shot accuracy10.2%11.4%12.7%2.5% short
Kill/death ratio0.911.031.090.18 short
Match win rate47.2%45.2%46.6%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.GGDavePREMIER15,113 · Purple bandcsdb.gg/stats

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Performance scores

Aim47
Positioning31
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY51427Last 10051%Win rateWWWLWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim4.7
Aggression1.5
Utility5.7
Positioning3.1
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 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 677ms 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

Aim4.7
Positioning3.1
Utility5.7
Mechanics5.9
Opening Duels0.0
Win Impact5.0

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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time677ms+1ms
first ⅓ avg 676ms → last ⅓ avg 677ms
Headshot accuracy19.6%−5.3%
first ⅓ avg 24.9% → last ⅓ avg 19.6%

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

0.24Best rating — inferno 10–0
132Biggest win — ancient
6Longest win streak
W3Current streak
77In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 75% over 8nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC28121643%-0.01
dust2A1710759%-0.02
anubisB115645%-0.01
mirageB105550%-0.01
ancientS86275%0.01
overpassC83538%-0.04
nukeD62433%-0.05
train43175%0.02
vertigo43175%0.07
brewery21150%-0.08
cache110100%-0.02
dogtown1010%-0.15

Across the last 100 tracked matches.

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

Lifetime stats

5,220Lifetime kills
0.91K/D
337Matches
47.2%Match win rate · Top 50% of Purple band
48.9%Headshot % · Top 50% of Purple band
10.2%Shot accuracy
773MVPs
109Hours (in match)
421Bombs planted
84Bombs defused

Most-used weapons

Lifetime map wins

511inferno
325dust2
150train
136nuke
85vertigo
47cbble
1ar_monastery
1lake

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.

20.0%Headshot accuracy
29.2%Accuracy (enemy spotted)
32.0%Spray accuracy
76.8%Counter-strafing
10.4°Preaim
677msReaction time
21.8%T opening success
20.6%CT opening success
0.54Enemies flashed / flash
7.5%Flash assists
9.47HE damage / grenade
6.57Flashes / 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 21.8025% — 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 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–2-0.0016%20 Jun
inferno10–00.2428%20 Jun
dust213–50.0715%20 Jun
mirage9–130.0023%20 Jun
dust213–11-0.0217%19 Jun
dust213–3-0.0211%12 May
overpass7–13-0.0524%11 May
inferno10–130.0219%9 May
inferno13–16-0.0322%9 May
inferno9–40.0924%4 May
cache13–8-0.0232%4 May
dust211–13-0.0126%30 Apr
nuke15–15-0.0024%29 Apr
anubis14–160.0318%26 Apr
ancient13–6-0.0011%26 Apr
nuke8–13-0.0917%26 Apr
inferno13–60.1424%26 Apr
dust216–14-0.0523%26 Apr
dust23–13-0.0612%23 Apr
mirage7–13-0.0224%23 Apr
anubis13–11-0.0717%20 Apr
overpass13–3-0.0018%20 Apr
dust22–13-0.1013%20 Apr
inferno15–15-0.0328%19 Apr
mirage0–13-0.0827%17 Apr
anubis13–11-0.0115%17 Apr
ancient13–7-0.0316%17 Apr
inferno5–13-0.0616%17 Apr
overpass13–30.0123%17 Apr
dust210–13-0.0217%17 Apr
nuke6–13-0.0518%17 Apr
dust215–15-0.0412%17 Apr
inferno16–14-0.0118%17 Apr
anubis8–13-0.0320%16 Apr
dust213–8-0.0317%16 Apr
inferno13–9-0.0220%16 Apr
anubis7–13-0.0119%16 Apr
mirage7–130.0420%16 Apr
mirage13–80.0116%16 Apr
mirage13–90.0313%15 Apr
inferno13–8-0.0118%15 Apr
dust213–10-0.0115%15 Apr
dust213–80.0129%15 Apr
dust213–10-0.0832%14 Apr
overpass15–15-0.0413%13 Apr
nuke13–10-0.1120%13 Apr
dust27–130.0233%13 Apr
dust213–10-0.0335%13 Apr
inferno15–15-0.0428%13 Apr
inferno14–16-0.0821%11 Apr
ancient7–13-0.0117%11 Apr
overpass15–15-0.0221%11 Apr
inferno13–16-0.0420%9 Apr
anubis13–11-0.086%9 Apr
inferno13–2-0.0421%9 Apr
mirage9–13-0.0214%9 Apr
mirage13–10-0.0619%7 Apr
inferno13–9-0.0020%7 Apr
anubis9–130.0011%24 Mar
overpass11–130.0027%24 Mar
anubis13–10-0.0615%24 Mar
mirage13–9-0.0541%22 Mar
nuke8–13-0.076%22 Mar
dust213–2-0.070%22 Mar
train10–130.0422%10 Oct
inferno1–9-0.1614%10 Oct
inferno9–3-0.0338%9 Oct
inferno10–13-0.0228%9 Oct
mirage13–40.0119%9 Oct
inferno5–13-0.0219%9 Oct
train13–90.0235%27 Sept
nuke13–80.0217%27 Sept
ancient13–100.0730%27 Sept
vertigo9–60.0335%1 Jul
inferno8–80.0231%1 Jul
vertigo5–9-0.059%2 Jun
inferno11–13-0.0125%2 Jun
inferno7–9-0.1232%2 Jun
inferno4–9-0.0215%29 May
vertigo9–30.1624%22 May
train13–7-0.0229%22 May
train13–80.0430%22 May
brewery1–9-0.2133%17 May
overpass9–5-0.039%17 May
vertigo9–10.1632%17 May
inferno9–20.0829%17 May
brewery9–60.0424%17 May
dust27–130.0016%17 May
dogtown3–9-0.1514%17 May
ancient3–13-0.0219%6 May
inferno13–90.0116%6 May
inferno16–140.0231%3 May
anubis11–130.0116%3 May
ancient16–130.0126%3 May
anubis9–13-0.0121%7 Apr
ancient13–80.0528%7 Apr
overpass3–9-0.1930%6 Apr
inferno5–13-0.0128%6 Apr
inferno0–5-0.0440%6 Apr
anubis13–60.0631%5 Apr

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 →