2023 Volkswagen GTI S — CS2 Stats

76561199037506761[U:1:1077241033]✓ No bans

977Tracked matches35%Win rate2020Tracked since
1,568Hours in CS38Hrs last 2 wks
CSDB Rating4.7 DevelopingHybrid Rifler
Premier CS Rating16,188Purple band · top ~23.7% of ranked players (population est.)
CSDB Leaderboard#9700 of 15827 tracked
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 rate33.7%48.1%14.4% short
Shot accuracy15.6%12.9%above
Kill/death ratio1.171.08above
Match win rate55.6%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GG2023 Volkswagen GTI SPREMIER16,188 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning57
Utility36

0–100 skill scores via Leetify.

Recent form

COLD46468Last 10046%Win rateWTLTLLTLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim6.3
Aggression7.3
Utility3.6
Positioning5.7
Opening Duels3.5
Clutch2.6

Strong CT-side openerLimited 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, positioning profile.

Where you differ: 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 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.3
Positioning5.7
Utility3.6
Mechanics5.2
Opening Duels3.5
Win Impact0.0

Composite 4.7/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time525ms−70ms
first ⅓ avg 596ms → last ⅓ avg 525ms
Headshot accuracy11.7%−0.9%
first ⅓ avg 12.6% → last ⅓ avg 11.7%

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

0.14Best rating — nuke 13–4
131Biggest win — nuke
6Longest win streak
58In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 55% over 20infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2181338%-0.01
cacheA2011955%-0.01
mirageA2011955%0.01
nukeC167944%0.01
ancientC135838%-0.00
infernoD62433%-0.01
office21150%0.03
anubis21150%-0.03

Across the last 100 tracked matches.

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

Lifetime stats

47,148Lifetime kills
1.17K/D · Top 50% of tracked players
3,357Matches
55.6%Match win rate · Top 5% of tracked players
33.7%Headshot %
15.6%Shot accuracy · Top 25% of tracked players
12,848MVPs
749Hours (in match)
3,790Bombs planted
964Bombs defused

Most-used weapons

Lifetime map wins

12,031lake
2,779dust2
1,630inferno
1,495nuke
1,388office
468vertigo
176train
101italy

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

Faceit stats

Combat

25Matches
44%Win rate
1.01Avg K/D
77.3ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
31%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage862%1.2417.6
Dust2812%0.9614.3
Nuke650%0.9914.2
Inferno367%0.6110.0

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.

11.9%Headshot accuracy
38.8%Accuracy (enemy spotted)
40.4%Spray accuracy
73.4%Counter-strafing
12.3°Preaim
539msReaction time
34.7%T opening success
53.5%CT opening success
0.43Enemies flashed / flash
9.4%Flash assists
5.90HE damage / grenade
3.29Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3246° — above the 12° mark we flag

    Aim Training
  2. 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 11.873% — below the 15% mark we flag

    Aim Training
  3. 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 0.428 — below the 0.5 mark we flag

    Grenade Lineups
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.016%28 Aug
cache15–15-0.0517%28 Aug
inferno6–13-0.0216%28 Aug
inferno15–150.0311%28 Aug
dust28–13-0.008%28 Aug
dust211–13-0.009%28 Aug
office12–12-0.0013%26 Aug
anubis2–13-0.0610%26 Aug
mirage13–30.027%26 Aug
nuke13–60.127%26 Aug
dust213–160.0114%26 Aug
office13–40.0619%25 Aug
dust210–13-0.0017%25 Aug
dust213–60.048%25 Aug
ancient10–13-0.054%25 Aug
mirage5–130.0113%24 Aug
cache1–13-0.0416%24 Aug
mirage5–130.0317%24 Aug
cache8–130.0110%23 Aug
nuke13–70.0313%23 Aug
ancient16–130.069%23 Aug
cache13–90.0414%23 Aug
nuke15–150.0212%23 Aug
mirage9–13-0.019%23 Aug
mirage8–13-0.0513%23 Aug
ancient13–70.0610%23 Aug
mirage13–16-0.0317%23 Aug
dust29–13-0.0311%23 Aug
ancient11–13-0.0211%22 Aug
ancient9–13-0.0413%22 Aug
ancient15–150.037%21 Aug
anubis13–90.017%21 Aug
mirage13–70.0117%21 Aug
mirage16–120.0512%21 Aug
nuke6–13-0.0814%21 Aug
mirage9–13-0.046%19 Aug
nuke3–0-0.040%19 Aug
ancient15–150.0112%19 Aug
nuke5–13-0.0815%19 Aug
mirage13–110.0211%19 Aug
dust211–13-0.0116%17 Aug
dust211–13-0.0316%17 Aug
cache13–50.0710%16 Aug
mirage13–9-0.005%16 Aug
dust29–13-0.005%16 Aug
mirage13–60.039%16 Aug
cache13–3-0.005%16 Aug
nuke9–130.037%16 Aug
dust20–2-0.040%16 Aug
nuke13–1-0.0313%16 Aug
nuke8–13-0.0313%16 Aug
ancient13–110.0613%16 Aug
nuke11–13-0.029%16 Aug
mirage13–90.0913%16 Aug
cache11–13-0.0119%16 Aug
cache13–7-0.069%9 Aug
cache3–130.014%9 Aug
dust29–130.0112%9 Aug
inferno3–9-0.128%9 Aug
cache13–100.0318%9 Aug
nuke13–40.1416%8 Aug
mirage13–80.0514%8 Aug
mirage13–70.0017%8 Aug
ancient13–90.0212%8 Aug
cache13–70.0114%8 Aug
nuke8–130.048%7 Aug
cache13–8-0.0113%7 Aug
cache16–140.0010%7 Aug
nuke13–10-0.0118%6 Aug
mirage16–14-0.0110%6 Aug
cache13–8-0.0118%5 Aug
dust213–6-0.0527%5 Aug
cache15–15-0.056%5 Aug
mirage13–60.0511%2 Aug
dust210–13-0.0212%2 Aug
dust24–13-0.0013%2 Aug
inferno13–90.019%2 Aug
nuke3–13-0.0515%2 Aug
cache6–13-0.0310%2 Aug
ancient7–13-0.038%2 Aug
dust213–6-0.029%2 Aug
mirage7–13-0.0214%2 Aug
ancient10–13-0.059%2 Aug
dust213–8-0.0315%2 Aug
mirage15–150.0418%1 Aug
nuke6–130.0911%1 Aug
cache7–13-0.0620%1 Aug
nuke13–90.0410%31 Jul
cache13–70.0511%31 Jul
dust213–90.0011%31 Jul
dust213–11-0.0710%31 Jul
ancient6–13-0.078%31 Jul
dust22–12-0.057%31 Jul
inferno16–120.0314%29 Jul
cache8–130.009%29 Jul
dust213–80.0814%29 Jul
cache13–9-0.0610%28 Jul
dust213–5-0.059%28 Jul
inferno9–130.0115%27 Jul
mirage11–13-0.0524%27 Jul

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 →