V3RKL

V3RKL — CS2 Stats

NE76561198839558673[U:1:879292945]Steam profile ↗

1,432Tracked matches59%Win rate2023Tracked since
1,814Hours in CS5Hrs last 2 wks
CSDB Rating3.9 Learning
Premier CS Rating4,115Grey band · top ~82.5% of ranked players (population est.)
CSDB Leaderboard#14325 of 18563 tracked
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGV3RKLPREMIER4,115 · Grey bandcsdb.gg/stats

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Performance scores

Aim42
Positioning41
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY375112Last 10037%Win rateLWLWWLTLWL

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Aim4.2
Aggression4.5
Utility3.0
Positioning4.1
Opening Duels1.0
Clutch2.6

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 77% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 697ms 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

Aim4.2
Positioning4.1
Utility3.0
Mechanics6.1
Opening Duels1.0
Win Impact8.1

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.04
first ⅓ avg -0.06 → last ⅓ avg -0.02
Reaction time708ms−94ms
first ⅓ avg 802ms → last ⅓ avg 708ms
Headshot accuracy14.0%−1.6%
first ⅓ avg 15.7% → last ⅓ avg 14.0%

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

0.09Best rating — shelter 13–11
132Biggest win — mirage
5Longest win streak
88In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 53% over 15infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
nukeD3392427%-0.03
mirageB158753%-0.01
vertigoC135838%-0.05
infernoD1331023%-0.05
dust2C83538%-0.02
trainC52340%-0.04
cache41325%-0.02
overpass42250%-0.02
ancient330100%-0.04
poseidon1010%-0.23
shelter110100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,999Lifetime kills
0.86K/D
3,392Matches
36.2%Match win rate
34.1%Headshot %
1.8%Shot accuracy
6,230MVPs
972Hours (in match)
3,740Bombs planted
986Bombs defused

Most-used weapons

AK-4713,435
AWP4,812
P2501,379
MP91,149
P901,079
Knife940

Lifetime map wins

6,623nuke
3,914inferno
3,606dust2
2,361vertigo
792train
146office
61italy
42ar_baggage

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

Faceit stats

Combat

2Matches
50%Win rate
0.72Avg K/D
50.7ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.132.0
Nuke1100%1.3121.0

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.

13.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.5%Spray accuracy
77.4%Counter-strafing
11.4°Preaim
697msReaction time
35.0%T opening success
32.7%CT opening success
0.44Enemies flashed / flash
5.1%Flash assists
6.52HE damage / grenade
3.33Flashes / 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. 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 13.577% — below the 15% mark we flag

    Aim Training
  2. 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 0.4372 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 34.9712% — below the 40% mark we flag

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
poseidon3–9-0.236%22 Aug
nuke13–60.0513%22 Aug
mirage1–13-0.120%18 Aug
train13–7-0.069%18 Aug
mirage13–7-0.024%15 Aug
nuke8–13-0.094%15 Aug
train12–12-0.0416%15 Aug
train2–13-0.0620%14 Aug
vertigo13–6-0.0713%14 Aug
dust211–13-0.0112%11 Aug
nuke13–11-0.064%10 Aug
mirage13–8-0.0213%10 Aug
cache13–10-0.0523%9 Aug
inferno13–90.0215%9 Aug
nuke8–80.0236%9 Aug
vertigo12–12-0.0417%9 Aug
dust213–100.0017%9 Aug
mirage12–120.0212%9 Aug
ancient13–10-0.0517%7 Aug
nuke13–10-0.0115%7 Aug
inferno8–130.0126%7 Aug
inferno13–70.0624%6 Aug
nuke13–110.035%5 Aug
nuke13–110.065%5 Aug
vertigo9–60.0513%4 Aug
vertigo9–6-0.029%4 Aug
mirage11–130.0517%4 Aug
inferno9–13-0.068%4 Aug
cache7–13-0.0416%4 Aug
dust211–130.0226%4 Aug
ancient13–100.0114%4 Aug
nuke13–70.0819%4 Aug
nuke9–130.0215%4 Aug
mirage1–130.020%4 Aug
mirage16–13-0.0114%3 Aug
nuke6–130.0216%2 Aug
dust213–80.0716%2 Aug
inferno10–13-0.0114%2 Aug
nuke6–130.0510%2 Aug
dust213–6-0.028%2 Aug
nuke4–9-0.0714%2 Aug
mirage13–11-0.0016%2 Aug
inferno3–13-0.025%2 Aug
overpass12–12-0.0014%2 Aug
cache4–13-0.0011%2 Aug
shelter13–110.0911%2 Aug
train13–30.068%2 Aug
inferno5–13-0.049%2 Aug
mirage13–10-0.0319%1 Aug
mirage13–110.0315%1 Aug
vertigo8–8-0.0513%27 Jul
nuke1–9-0.160%27 Jul
inferno8–8-0.097%27 Jul
nuke16–14-0.0725%26 Jul
vertigo12–12-0.0513%26 Jul
nuke12–12-0.0711%26 Jul
nuke5–130.0922%25 Jul
dust26–13-0.0818%25 Jul
mirage3–13-0.0421%24 Jul
nuke11–13-0.0011%24 Jul
inferno3–13-0.088%20 Jul
cache6–13-0.0022%19 Jul
vertigo7–13-0.0618%19 Jul
nuke13–10-0.0631%14 Jul
overpass2–13-0.0420%14 Jul
nuke11–130.063%13 Jul
nuke4–13-0.0211%12 Jul
mirage13–20.0733%5 Jul
overpass13–9-0.0016%5 Jul
nuke10–130.0312%5 Jul
inferno14–16-0.0012%4 Jul
nuke7–130.0010%3 Jul
vertigo8–130.0011%3 Jul
vertigo3–9-0.240%3 Jul
inferno7–9-0.124%3 Jul
ancient13–8-0.0720%2 Jul
nuke5–13-0.136%30 Jun
mirage7–13-0.0122%30 Jun
vertigo5–13-0.0613%30 Jun
nuke13–10-0.0429%29 Jun
vertigo9–13-0.0714%29 Jun
mirage13–9-0.0126%27 Jun
nuke8–8-0.0317%27 Jun
mirage10–13-0.0713%27 Jun
train12–12-0.088%23 Jun
nuke5–13-0.1116%23 Jun
dust28–13-0.0820%22 Jun
nuke11–130.0317%22 Jun
inferno1–9-0.2610%22 Jun
vertigo9–6-0.0113%22 Jun
vertigo13–4-0.0711%21 Jun
nuke1–9-0.2211%17 Jun
inferno9–4-0.0323%16 Jun
nuke8–13-0.0733%16 Jun
overpass13–11-0.0422%16 Jun
dust25–13-0.0617%16 Jun
nuke6–130.0119%14 Jun
nuke5–13-0.119%13 Jun
nuke3–9-0.1520%13 Jun
nuke12–120.0410%13 Jun

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 →