vlpo

vlpo — CS2 Stats

76561198272364061[U:1:312098333]Steam profile ↗✓ No bans

901Tracked matches75%Win rate2020Tracked since
CSDB Rating7.7 StrongEntry Fragger
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGvlpoFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim90
Positioning67
Utility39

0–100 skill scores via Leetify.

Recent form

HOT54406Last 10054%Win rateWWLWWWWTWL

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

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.0
Aggression10.0
Utility3.9
Positioning6.7
Opening Duels6.2
Clutch3.6

Sharp aimerExcellent counter-strafingStrong 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

s1mple

Plays most like s1mple 89% playstyle similarity

Most alike: opening-fight frequency, aim 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 90 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 68% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim9.0
Positioning6.7
Utility3.9
Mechanics9.6
Opening Duels6.2
Win Impact10.0

Composite 7.7/10 (Strong), 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 rating0.05+0.05
first ⅓ avg -0.00 → last ⅓ avg 0.05
Reaction time652ms−13ms
first ⅓ avg 665ms → last ⅓ avg 652ms
Headshot accuracy18.1%−0.5%
first ⅓ avg 18.7% → last ⅓ avg 18.1%

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

0.20Best rating — mirage 10–13
130Biggest win — cache
5Longest win streak
W2Current streak
510In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 100% over 5infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2415963%0.03
mirageC2191243%0.00
cacheA127558%0.04
ancientA106460%0.03
nukeA95456%0.02
trainC94544%0.04
infernoD82625%0.00
anubisS550100%0.06
vertigo110100%0.15
office1010%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

250Matches
52%Win rate
1.27Avg K/D
79.1ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4657%1.1816.8
Ancient3047%1.3216.4
Vertigo2969%1.6117.3
Inferno2854%1.3217.0
Nuke2143%1.3418.9
Overpass933%1.2417.2
Anubis838%0.9916.1
Dust2683%1.8318.3

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.

18.4%Headshot accuracy
44.6%Accuracy (enemy spotted)
41.7%Spray accuracy
93.4%Counter-strafing
8.3°Preaim
640msReaction time
41.4%T opening success
67.9%CT opening success
0.46Enemies flashed / flash
5.8%Flash assists
9.53HE damage / grenade
3.53Flashes / 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 0.4647 — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0031%29 Aug
cache13–70.0735%29 Aug
mirage10–130.2018%20 Aug
nuke13–60.0218%20 Aug
mirage13–110.0711%15 Aug
dust213–100.0624%15 Aug
train13–70.0833%15 Aug
train12–120.0212%15 Aug
nuke13–70.0722%11 Aug
mirage8–130.0716%11 Aug
mirage13–100.0324%9 Aug
vertigo13–50.1524%3 Aug
mirage2–6-0.0318%25 Jul
anubis13–80.0513%25 Jul
mirage13–20.0411%25 Jul
dust29–130.0121%24 Jul
dust213–110.047%24 Jul
anubis13–20.0710%22 Jul
ancient15–150.0518%21 Jul
ancient13–90.0911%21 Jul
dust213–70.0211%21 Jul
nuke16–130.1018%20 Jul
cache13–00.1815%20 Jul
cache13–60.0417%20 Jul
nuke8–130.0312%19 Jul
mirage8–13-0.0117%16 Jul
dust213–20.0746%16 Jul
dust213–80.0212%11 Jul
office4–130.078%11 Jul
mirage13–9-0.0524%7 Jul
mirage4–13-0.0618%2 Jul
dust210–130.0517%2 Jul
dust23–13-0.078%2 Jul
cache13–80.044%2 Jul
cache11–130.0516%1 Jul
mirage13–10-0.0511%29 Jun
dust213–9-0.0222%28 Jun
dust27–10.085%28 Jun
mirage12–120.0324%25 Jun
dust212–120.0522%24 Jun
cache3–130.0811%24 Jun
train13–60.069%20 Jun
train7–130.0112%18 Jun
ancient10–130.1511%18 Jun
mirage13–60.1415%18 Jun
train2–20.1267%18 Jun
train3–130.0110%17 Jun
mirage13–110.0812%16 Jun
dust213–20.0028%15 Jun
nuke13–70.0125%15 Jun
cache5–13-0.0711%15 Jun
anubis13–70.0613%15 Jun
dust213–80.067%15 Jun
dust212–120.0825%15 Jun
dust21–30.1540%15 Jun
mirage6–130.0118%15 May
cache13–80.0618%15 May
dust213–100.0223%15 May
ancient13–100.0716%15 May
cache13–100.0623%15 May
inferno15–15-0.0710%7 May
ancient13–30.0340%5 May
dust213–10-0.0333%4 May
mirage13–8-0.0314%4 May
ancient13–60.0315%4 May
nuke13–10-0.0317%4 May
inferno5–130.0212%4 May
cache11–13-0.0226%3 May
cache11–130.0025%2 May
dust214–160.0617%2 May
nuke2–130.0118%1 May
ancient6–13-0.0720%1 May
inferno7–130.0429%1 May
dust214–160.1122%1 May
ancient12–16-0.0414%30 Apr
ancient13–11-0.039%30 Apr
mirage6–13-0.0632%30 Apr
inferno11–13-0.0221%28 Apr
mirage11–13-0.0533%27 Apr
inferno9–13-0.0415%27 Apr
mirage13–6-0.0221%27 Apr
inferno16–130.1219%25 Apr
anubis19–15-0.0114%25 Apr
nuke11–130.0416%25 Apr
dust213–60.0831%25 Apr
dust213–80.0113%24 Apr
anubis13–40.1114%24 Apr
nuke10–13-0.0828%23 Apr
ancient13–10-0.0212%23 Apr
inferno13–11-0.0112%23 Apr
dust213–7-0.0218%22 Apr
train10–13-0.0315%22 Apr
train13–20.0916%22 Apr
train13–100.0514%22 Apr
dust29–13-0.038%19 Apr
inferno7–13-0.0217%19 Apr
mirage7–13-0.0619%19 Apr
mirage9–13-0.1020%19 Apr
mirage0–13-0.0714%18 Apr
dust213–80.0114%18 Apr

Match data via Leetify.

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →