Vulle — CS2 Stats

76561197962188687[U:1:1922959]

3,502Tracked matches54%Win rate2020Tracked since
CSDB Rating6.2 SolidAggressive Rifler
Premier CS Rating19,213Purple band · top ~11.6% of ranked players (population est.)
CSDB Leaderboard#11262 of 23894 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGVulleFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,213 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning53
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY49429Last 10049%Win rateLWLWWWWWLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.8
Aggression7.1
Utility1.9
Positioning5.3
Opening Duels3.9
Clutch2.2

Sharp aimerLimited 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 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8
Positioning5.3
Utility1.9
Mechanics8.1
Opening Duels3.9
Win Impact6.3

Composite 6.2/10 (Solid), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time531ms−45ms
first ⅓ avg 576ms → last ⅓ avg 531ms
Headshot accuracy18.9%−0.2%
first ⅓ avg 19.1% → last ⅓ avg 18.9%

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

0.18Best rating — fachwerk 13–2
130Biggest win — nuke
5Longest win streak
73In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 83% over 6infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
infernoC1981142%0.01
cacheB189950%0.02
anubisB178947%0.01
ancientC125742%-0.01
nukeB115645%0.03
mirageS65183%0.00
dust2B63350%-0.01
boulder42250%0.00
fachwerk440100%0.13
vertigo3030%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

51Matches
55%Win rate
1.14Avg K/D
74.7ADR
53%Headshot %

Clutches & streaks

31%1v1 clutch win
40%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1050%1.2914.1
Ancient956%0.9516.6
Dust2757%0.8115.7
Mirage667%1.4215.0
Inferno450%1.2016.5
Anubis450%1.2416.3
Cache333%0.7013.3
Overpass3100%1.9013.7

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.

19.3%Headshot accuracy
41.6%Accuracy (enemy spotted)
42.4%Spray accuracy
86.3%Counter-strafing
9.8°Preaim
541msReaction time
43.0%T opening success
48.0%CT opening success
0.17Enemies flashed / flash
4.0%Flash assists
11.11HE damage / grenade
0.58Flashes / 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. 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 0.1704 — 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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–130.1015%28 Aug
anubis13–70.1318%28 Aug
cache10–110.0020%28 Aug
cache13–80.0712%28 Aug
cache13–110.0225%25 Aug
mirage13–11-0.0321%22 Aug
cache13–7-0.0317%22 Aug
ancient13–40.0314%22 Aug
inferno0–4-0.070%22 Aug
dust22–13-0.0525%21 Aug
cache9–13-0.0326%21 Aug
inferno13–60.0320%21 Aug
cache13–80.0224%20 Aug
anubis12–120.0912%20 Aug
cache12–50.0220%20 Aug
boulder10–130.0517%20 Aug
nuke16–13-0.0014%16 Aug
inferno13–10.0319%10 Aug
fachwerk13–80.0632%9 Aug
anubis7–130.1131%8 Aug
nuke3–130.0317%8 Aug
vertigo12–120.0625%8 Aug
mirage1–130.0118%8 Aug
ancient4–13-0.0613%8 Aug
inferno6–130.0314%8 Aug
fachwerk13–20.1821%8 Aug
anubis15–150.0217%6 Aug
inferno10–130.0029%6 Aug
ancient12–120.0512%30 Jul
fachwerk13–50.1519%30 Jul
fachwerk13–50.1330%30 Jul
mirage13–100.0017%30 Jul
ancient16–13-0.0611%30 Jul
boulder1–13-0.0520%30 Jul
vertigo5–130.0219%30 Jul
boulder13–10-0.0121%29 Jul
inferno9–130.0813%29 Jul
boulder13–100.0314%29 Jul
vertigo3–13-0.0221%29 Jul
cache10–00.0926%29 Jul
anubis13–160.0418%29 Jul
nuke9–13-0.0224%28 Jul
anubis13–9-0.0712%28 Jul
cache6–13-0.0216%28 Jul
inferno15–150.0020%28 Jul
anubis15–15-0.0118%28 Jul
inferno5–130.0015%28 Jul
nuke13–70.0414%28 Jul
dust213–100.0512%28 Jul
anubis13–8-0.0321%28 Jul
cache6–130.0219%27 Jul
nuke13–100.016%27 Jul
cache13–40.0513%27 Jul
inferno9–13-0.0825%27 Jul
ancient6–13-0.0434%27 Jul
inferno13–8-0.036%27 Jul
cache3–13-0.0924%27 Jul
inferno3–13-0.0314%26 Jul
inferno15–15-0.0122%26 Jul
nuke12–16-0.0324%26 Jul
inferno13–7-0.035%26 Jul
mirage13–80.0325%26 Jul
nuke13–70.0918%26 Jul
cache15–15-0.0410%25 Jul
dust213–11-0.0512%25 Jul
inferno13–90.0519%25 Jul
cache7–130.0117%25 Jul
nuke5–13-0.0412%25 Jul
inferno16–140.0819%25 Jul
ancient6–13-0.0514%25 Jul
mirage16–140.0113%25 Jul
anubis13–30.0314%25 Jul
anubis8–13-0.0219%25 Jul
dust25–13-0.0819%25 Jul
ancient13–10-0.0124%25 Jul
anubis9–130.0222%25 Jul
ancient10–130.0313%25 Jul
cache8–130.1636%24 Jul
ancient7–130.0417%24 Jul
anubis13–50.0931%24 Jul
inferno13–70.0744%23 Jul
mirage13–70.0022%23 Jul
cache10–1-0.0328%23 Jul
cache7–130.0623%23 Jul
anubis13–70.0413%23 Jul
anubis9–13-0.1314%22 Jul
dust213–110.0514%22 Jul
inferno13–50.0523%22 Jul
cache13–70.0414%22 Jul
inferno14–16-0.0513%22 Jul
anubis9–13-0.0423%22 Jul
nuke8–130.0427%22 Jul
inferno11–13-0.0115%21 Jul
nuke13–00.1223%21 Jul
dust215–15-0.0118%21 Jul
anubis13–70.0410%21 Jul
anubis13–11-0.056%20 Jul
ancient9–13-0.059%20 Jul
ancient13–90.0519%20 Jul
ancient13–2-0.0522%18 Jul

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 →