VecticBeastYT — CS2 Stats

76561198170188985[U:1:209923257]✓ No bans

1,658Tracked matches37%Win rate2022Tracked since
3,412Hours in CS2Hrs last 2 wks
CSDB Rating3.6 Learning
FaceitLevel 3 · 764 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGVecticBeastYTFACEITLevel 3 · 764 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim45
Positioning39
Utility42

0–100 skill scores via Leetify.

Recent form

COLD47449Last 10047%Win rateLWWWLLLLLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim4.5
Aggression4.0
Utility4.2
Positioning3.9
Opening Duels0.8

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 78% playstyle similarity

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

Where you differ: lower positioning profile; 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 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim4.5
Positioning3.9
Utility4.2
Mechanics6.4
Opening Duels1.7
Win Impact0.7

Composite 3.6/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time636ms−27ms
first ⅓ avg 663ms → last ⅓ avg 636ms
Headshot accuracy16.8%+1.0%
first ⅓ avg 15.8% → last ⅓ avg 16.8%

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

0.07Best rating — mirage 13–16
132Biggest win — inferno
9Longest win streak
66In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 63% over 8anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheA26161062%-0.02
nukeB126650%-0.02
dust2B126650%-0.02
mirageB115645%-0.03
infernoC104640%-0.05
trainA85363%-0.03
anubisD71614%-0.02
ancient32167%-0.01
overpass31233%-0.03
italy2020%-0.07
warden21150%-0.02
vertigo2020%-0.02
boulder1010%-0.06
alpine1010%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,446Lifetime kills
0.64K/D
5,063Matches
41.3%Match win rate
41.8%Headshot %
9.3%Shot accuracy
8,888MVPs
1,644Hours (in match)
1,587Bombs planted
690Bombs defused

Most-used weapons

AK-4725,776
AWP9,034
Negev2,727
P902,223
Knife1,702

Lifetime map wins

13,782dust2
3,150inferno
2,729nuke
1,954vertigo
1,304office
694train
213italy
158cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.4%Headshot accuracy
32.1%Accuracy (enemy spotted)
30.8%Spray accuracy
78.6%Counter-strafing
12.3°Preaim
634msReaction time
22.6%T opening success
43.8%CT opening success
0.61Enemies flashed / flash
6.5%Flash assists
7.01HE damage / grenade
5.45Flashes / 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 12.3236° — above the 12° mark we flag

    Aim Training
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0022%17 Aug
nuke13–8-0.0122%17 Aug
train13–9-0.0214%15 Aug
cache11–5-0.068%15 Aug
dust29–13-0.0527%13 Aug
dust210–13-0.0322%25 Jul
anubis8–13-0.019%25 Jul
boulder9–13-0.0614%21 Jul
italy11–13-0.049%20 Jul
nuke9–13-0.0233%20 Jul
dust210–130.044%14 Jul
mirage5–13-0.1022%13 Jul
nuke3–13-0.0521%12 Jul
train12–12-0.0533%12 Jul
mirage10–130.0414%9 Jul
cache13–50.0416%9 Jul
inferno13–2-0.0120%9 Jul
cache13–11-0.0217%7 Jul
inferno10–3-0.0712%6 Jul
inferno9–13-0.0819%5 Jul
dust213–8-0.043%5 Jul
inferno13–16-0.0415%3 Jul
mirage9–13-0.0715%2 Jul
inferno6–9-0.1324%2 Jul
cache12–12-0.0221%1 Jul
italy9–13-0.118%30 Jun
nuke13–7-0.0021%29 Jun
mirage13–2-0.068%29 Jun
inferno7–13-0.0713%29 Jun
cache12–12-0.0012%21 Jun
inferno8–130.0018%21 Jun
ancient10–13-0.0119%20 Jun
dust213–30.0622%20 Jun
train13–5-0.0725%20 Jun
inferno13–40.0414%20 Jun
nuke13–10-0.0018%20 Jun
cache13–5-0.0923%20 Jun
nuke5–13-0.0675%20 Jun
inferno13–11-0.0716%19 Jun
mirage6–13-0.087%19 Jun
anubis12–12-0.018%13 Jun
nuke13–8-0.0615%7 Jun
warden13–7-0.0415%7 Jun
anubis13–110.0114%6 Jun
nuke13–11-0.0411%5 Jun
train13–10-0.039%5 Jun
cache13–10-0.0416%5 Jun
dust213–10-0.098%2 Jun
cache13–7-0.0126%2 Jun
cache13–100.0522%1 Jun
anubis9–13-0.0217%31 May
ancient13–70.037%31 May
anubis11–13-0.0410%31 May
warden12–12-0.0117%31 May
vertigo12–120.0120%31 May
cache6–13-0.0317%31 May
train13–110.0524%27 May
dust213–9-0.0111%27 May
dust22–1-0.050%27 May
cache9–1-0.030%27 May
cache8–13-0.039%25 May
dust29–13-0.0811%25 May
mirage13–8-0.0715%24 May
cache13–8-0.0220%24 May
mirage13–11-0.017%23 May
overpass15–15-0.0311%22 May
mirage13–6-0.052%21 May
cache13–4-0.0836%20 May
nuke13–6-0.0214%20 May
anubis11–13-0.0610%19 May
cache2–13-0.1018%17 May
cache13–9-0.0214%17 May
anubis6–13-0.027%15 May
train10–13-0.126%15 May
cache10–130.0321%14 May
train6–00.0333%14 May
dust27–13-0.059%14 May
overpass13–10-0.0011%13 May
cache13–7-0.0225%9 May
cache7–13-0.0623%8 May
cache13–9-0.0317%6 May
cache8–120.0617%6 May
alpine7–50.0033%6 May
cache13–80.0212%3 May
cache13–3-0.0211%3 May
cache13–50.0512%3 May
cache3–13-0.0611%3 May
cache9–13-0.0723%2 May
vertigo3–13-0.0612%26 Apr
inferno1–13-0.080%26 Apr
ancient13–10-0.058%22 Mar
train12–12-0.049%22 Mar
mirage13–160.0715%13 Mar
nuke9–13-0.0123%13 Mar
mirage16–130.0010%13 Mar
mirage11–13-0.0420%12 Mar
dust213–50.0420%12 Mar
overpass6–13-0.0610%12 Mar
dust212–1-0.0014%11 Mar
nuke15–150.0119%11 Mar

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 →