Vengeful

Vengeful — CS2 Stats

US76561198062377244[U:1:102111516]Steam profile ↗

575Tracked matches36%Win rate2021Tracked since
CSDB Rating4.1 Developing
Premier CS Rating8,856Light Blue band · top ~60.4% of ranked players (population est.)
CSDB Leaderboard#7003 of 9442 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGVengefulPREMIER8,856 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateWLLLWTWLWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

Aim5.2
Aggression8.0
Utility5.3
Positioning5.0
Opening Duels3.8

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

b1t

Plays most like b1t 85% 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 54% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 692ms 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

Aim5.2
Positioning5.0
Utility5.3
Mechanics5.6
Opening Duels3.8
Win Impact0.2

Composite 4.1/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time692ms−50ms
first ⅓ avg 742ms → last ⅓ avg 692ms
Headshot accuracy18.2%−0.3%
first ⅓ avg 18.5% → last ⅓ avg 18.2%

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

0.28Best rating — inferno 4–0
132Biggest win — inferno
5Longest win streak
85In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 64% over 11anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B34161847%0.02
mirageC1981142%0.02
infernoB137654%0.02
cacheA117464%0.03
nukeB105550%0.00
anubisD93633%0.00
ancient41325%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.8%Headshot accuracy
32.2%Accuracy (enemy spotted)
34.6%Spray accuracy
75.2%Counter-strafing
9.4°Preaim
692msReaction time
36.5%T opening success
53.7%CT opening success
0.58Enemies flashed / flash
8.5%Flash assists
8.73HE damage / grenade
7.84Flashes / 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

    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 36.5% — below the 40% mark we flag

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–80.0619%24 Aug
mirage6–130.0116%24 Aug
inferno11–130.1122%24 Aug
cache7–13-0.0031%23 Aug
dust213–9-0.049%23 Aug
mirage12–120.0312%23 Aug
dust213–11-0.018%23 Aug
mirage3–13-0.0229%17 Aug
dust216–120.049%17 Aug
anubis9–13-0.0216%17 Aug
ancient6–13-0.0950%15 Aug
dust210–13-0.0422%15 Aug
dust25–130.0124%14 Aug
inferno11–13-0.0013%14 Aug
dust28–130.0413%14 Aug
dust210–130.009%13 Aug
inferno5–13-0.0112%12 Aug
anubis7–130.0416%12 Aug
mirage5–130.0113%9 Aug
dust29–130.0617%9 Aug
nuke4–13-0.0312%9 Aug
nuke13–50.1128%9 Aug
dust213–100.0425%7 Aug
inferno13–2-0.028%7 Aug
mirage9–13-0.0115%7 Aug
dust213–9-0.0424%7 Aug
dust212–120.0118%6 Aug
anubis13–11-0.0422%5 Aug
inferno13–100.0321%5 Aug
anubis8–13-0.048%5 Aug
dust213–9-0.0224%4 Aug
inferno13–7-0.0216%4 Aug
dust210–130.0618%4 Aug
dust213–90.0430%4 Aug
inferno4–00.2822%4 Aug
cache0–120.0116%4 Aug
anubis10–13-0.047%4 Aug
cache13–100.0127%3 Aug
dust213–20.2617%3 Aug
mirage13–50.1215%3 Aug
dust213–50.0519%3 Aug
dust25–13-0.0621%3 Aug
cache13–100.0121%3 Aug
nuke9–13-0.0322%3 Aug
ancient13–100.0716%3 Aug
inferno13–11-0.0014%3 Aug
mirage9–13-0.0031%3 Aug
dust29–130.0118%3 Aug
dust27–13-0.0816%2 Aug
nuke6–130.0118%2 Aug
mirage13–90.1918%2 Aug
mirage13–80.0821%1 Aug
dust213–100.1722%1 Aug
dust28–130.0916%1 Aug
cache13–11-0.0414%31 Jul
mirage16–140.0125%31 Jul
anubis13–10-0.0119%30 Jul
dust29–130.0121%30 Jul
dust212–12-0.0214%30 Jul
inferno10–13-0.0410%30 Jul
cache12–120.0219%30 Jul
dust24–13-0.0811%30 Jul
nuke6–13-0.0211%30 Jul
dust213–110.0816%30 Jul
inferno13–30.0924%30 Jul
mirage10–130.0722%30 Jul
ancient1–80.036%30 Jul
anubis8–130.0224%29 Jul
dust213–16-0.0513%29 Jul
nuke13–100.0114%29 Jul
nuke13–40.0216%29 Jul
dust213–11-0.059%29 Jul
cache13–30.1219%29 Jul
dust213–100.019%29 Jul
dust25–130.0114%28 Jul
mirage13–110.0310%28 Jul
inferno6–13-0.0432%27 Jul
mirage13–40.0411%27 Jul
dust213–70.0617%27 Jul
nuke10–3-0.0311%27 Jul
dust27–13-0.0121%26 Jul
mirage0–13-0.0538%26 Jul
cache13–100.0119%26 Jul
inferno6–13-0.0617%26 Jul
mirage13–6-0.0617%25 Jul
cache13–90.0823%25 Jul
ancient8–13-0.0515%25 Jul
mirage9–13-0.0223%25 Jul
dust213–90.0723%25 Jul
mirage4–130.0215%25 Jul
cache14–160.0918%24 Jul
dust213–30.0119%24 Jul
inferno13–5-0.0141%24 Jul
nuke11–130.0222%23 Jul
anubis13–70.0524%22 Jul
dust210–13-0.0113%22 Jul
anubis9–130.0714%22 Jul
nuke13–10-0.0428%21 Jul
mirage13–7-0.0114%21 Jul
mirage11–13-0.047%21 Jul

Match data via Leetify.

Recent teammates

Milestones

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