vutr

vutr — CS2 Stats

AQ76561198045832242[U:1:85566514]Steam profile ↗✓ No bans

1,113Tracked matches48%Win rate2020Tracked since
1,136Hours in CS
CSDB Rating3.6 Learning
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGvutrFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim21
Positioning50
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY43498Last 10043%Win rateWLTWWWWWLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim2.1
Aggression4.1
Utility4.5
Positioning5.0
Opening Duels1.2

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-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 48% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.1
Positioning5.0
Utility4.5
Mechanics3.9
Opening Duels2.2
Win Impact4.4

Composite 3.6/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time659ms−11ms
first ⅓ avg 669ms → last ⅓ avg 659ms
Headshot accuracy16.4%−5.1%
first ⅓ avg 21.4% → last ⅓ avg 16.4%

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

0.13Best rating — nuke 13–8
132Biggest win — overpass
5Longest win streak
56In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeB22101245%-0.01
ancientB178947%-0.03
infernoD1531220%-0.04
cacheS96367%-0.03
anubisD93633%-0.02
dust2C83538%-0.05
mirageD72529%-0.01
overpassS64267%-0.01
train330100%0.02
warden21150%0.00
vertigo2020%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,767Lifetime kills
0.86K/D
7,944Matches
77.7%Match win rate · Top 1% of tracked players
43.3%Headshot %
16.2%Shot accuracy · Top 25% of tracked players
6,809MVPs
1,136Hours (in match)
2,949Bombs planted
885Bombs defused

Most-used weapons

AK-4714,337
AWP7,129
P901,808
SSG 081,745
Knife1,658

Lifetime map wins

9,178dust2
6,254inferno
4,014nuke
3,673vertigo
1,349train
504cbble
368lake
273office

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

Faceit stats

Combat

336Matches
47%Win rate
0.89Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

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.

16.1%Headshot accuracy
28.9%Accuracy (enemy spotted)
25.4%Spray accuracy
67.6%Counter-strafing
14.2°Preaim
660msReaction time
22.1%T opening success
47.6%CT opening success
0.57Enemies flashed / flash
4.9%Flash assists
8.62HE damage / grenade
7.14Flashes / 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 14.2445° — above the 12° mark we flag

    Aim Training
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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0331%29 Jul
inferno11–13-0.0719%21 Jul
nuke15–150.0415%21 Jul
nuke13–9-0.1213%20 Jul
dust213–7-0.085%20 Jul
ancient13–6-0.0716%20 Jul
cache13–80.0323%20 Jul
cache13–8-0.0819%20 Jul
inferno9–13-0.0711%20 Jul
cache2–13-0.0617%13 Jul
inferno16–130.0919%12 Jul
nuke11–13-0.0321%25 Jun
anubis9–13-0.0311%16 Jun
inferno7–13-0.0611%16 Jun
overpass13–5-0.040%16 Jun
nuke13–10-0.0113%16 Jun
anubis7–8-0.0821%15 Jun
mirage1–13-0.0914%15 Jun
anubis7–13-0.079%10 Jun
overpass13–20.0728%10 Jun
inferno2–13-0.0835%10 Jun
ancient3–13-0.0827%10 Jun
ancient15–15-0.0614%10 Jun
dust210–13-0.047%9 Jun
overpass13–9-0.0515%9 Jun
ancient5–130.0115%9 Jun
dust213–8-0.0011%9 Jun
nuke9–130.0314%9 Jun
nuke13–40.0617%9 Jun
mirage15–15-0.0416%8 Jun
anubis13–11-0.0214%8 Jun
ancient7–13-0.0824%8 Jun
dust215–15-0.0811%8 Jun
nuke5–13-0.0029%8 Jun
overpass10–13-0.0813%7 Jun
nuke3–130.0525%7 Jun
inferno8–13-0.0524%7 Jun
nuke9–30.1219%6 Jun
inferno15–150.0116%5 Jun
nuke5–130.0110%4 Jun
nuke10–13-0.0514%4 Jun
ancient4–130.0138%4 Jun
anubis7–13-0.0421%3 Jun
nuke6–13-0.0228%3 Jun
ancient6–7-0.1014%3 Jun
mirage13–30.1223%2 Jun
inferno13–9-0.0214%2 Jun
inferno11–13-0.0424%31 May
nuke5–13-0.1015%31 May
dust215–15-0.0228%28 May
anubis6–13-0.0212%27 May
inferno13–10-0.0327%27 May
mirage8–13-0.0328%26 May
ancient13–10-0.044%26 May
inferno7–13-0.0625%26 May
ancient16–13-0.0022%26 May
anubis16–13-0.0024%25 May
dust20–3-0.060%25 May
inferno0–13-0.0720%25 May
overpass8–13-0.0123%25 May
nuke9–13-0.090%25 May
overpass13–100.0313%25 May
mirage13–5-0.0227%25 May
nuke0–13-0.0327%25 May
nuke13–8-0.0729%25 May
mirage11–130.0016%25 May
anubis13–50.0618%25 May
ancient8–13-0.0434%21 May
anubis8–130.039%21 May
nuke13–10-0.0115%18 May
ancient5–130.0524%18 May
cache13–6-0.0416%1 May
cache4–13-0.1124%1 May
cache13–40.0313%30 Apr
cache13–90.0223%29 Apr
cache2–13-0.053%29 Apr
cache13–8-0.0229%29 Apr
inferno10–13-0.0327%28 Apr
ancient10–13-0.0213%27 Apr
inferno7–13-0.0827%27 Apr
ancient16–12-0.0321%27 Apr
warden12–12-0.0419%25 Apr
train13–10-0.0320%25 Apr
ancient4–13-0.0722%24 Apr
nuke16–14-0.0316%24 Apr
ancient13–90.0239%24 Apr
nuke13–11-0.0523%23 Apr
vertigo0–2-0.020%23 Apr
train13–80.0733%23 Apr
train13–20.0133%23 Apr
ancient13–10-0.0520%22 Apr
nuke13–50.0322%22 Apr
vertigo12–120.0635%22 Apr
nuke13–80.1327%22 Apr
mirage0–13-0.0230%20 Apr
warden13–60.0522%20 Apr
dust22–13-0.0524%4 Nov
inferno3–13-0.0814%4 Nov
nuke10–13-0.0322%18 Aug
dust213–9-0.027%19 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 →