ʙᴠɪ

ʙᴠɪ — CS2 Stats

76561198364012011[U:1:403746283]Steam profile ↗✓ No bans

501Tracked matches32%Win rate2025Tracked since
231Hours in CS
CSDB Rating3.3 Learning
Premier CS Rating11,684Blue band · top ~46% of ranked players (population est.)
CSDB Leaderboard#37471 of 54349 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate51.7%41.4%44.2%above
Shot accuracy0.0%9.0%11.6%11.5% short
Kill/death ratio0.810.971.030.22 short
Match win rate42.9%43.7%45.2%2.3% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGʙᴠɪPREMIER11,684 · Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning41
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY36568Last 10036%Win rateLWTLLLWWLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim5.6
Aggression5.6
Utility0.9
Positioning4.1
Opening Duels1.4

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 74% playstyle similarity

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

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 733ms 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

Aim5.6
Positioning4.1
Utility0.9
Mechanics4.5
Opening Duels1.4
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time736ms−11ms
first ⅓ avg 747ms → last ⅓ avg 736ms
Headshot accuracy23.3%+1.8%
first ⅓ avg 21.5% → last ⅓ avg 23.3%

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 — train 13–3
131Biggest win — cache
3Longest win streak
46In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 100% over 5shelterWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheD1751229%0.00
dust2D134931%-0.01
nukeD134931%-0.02
infernoD124833%-0.03
trainD92722%0.00
anubisB84450%-0.01
ancientD72529%-0.01
vertigoD62433%-0.04
overpassA53260%0.03
mirageS550100%0.01
shelterD51420%-0.05

Across the last 100 tracked matches.

Lifetime stats

8,150Lifetime kills
0.81K/D
711Matches
42.9%Match win rate
51.7%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
1,331MVPs
231Hours (in match)
800Bombs planted
146Bombs defused

Most-used weapons

Lifetime map wins

1,115inferno
1,070dust2
902nuke
394train
252vertigo
13office
5ar_shoots
1ar_baggage

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.

23.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.7%Spray accuracy
70.2%Counter-strafing
10.0°Preaim
733msReaction time
37.2%T opening success
33.8%CT opening success
0.05Enemies flashed / flash
0.0%Flash assists
5.93HE damage / grenade
0.21Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 732.7286ms — above the 700ms 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 0.0546 — 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 37.2187% — below the 40% mark we flag

Spend your practice time on Train

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0216%9 Aug
cache13–30.1130%9 Aug
dust212–120.0326%9 Aug
anubis3–13-0.0612%9 Aug
cache5–130.1331%6 Aug
overpass2–13-0.0529%6 Aug
nuke13–40.0234%6 Aug
train13–30.1326%6 Aug
dust20–13-0.0327%30 Jul
mirage13–40.0423%30 Jul
dust25–13-0.0722%30 Jul
train7–130.0139%30 Jul
ancient6–130.0623%30 Jul
anubis8–13-0.0624%24 Jul
nuke9–13-0.0527%24 Jul
nuke11–130.0319%20 Jul
vertigo10–130.0228%20 Jul
cache13–1-0.0112%20 Jul
nuke7–13-0.0530%20 Jul
ancient13–4-0.0214%20 Jul
inferno5–1-0.0310%20 Jul
dust213–80.0026%20 Jul
dust28–13-0.0415%20 Jul
dust212–12-0.0215%19 Jul
mirage12–10.0329%19 Jul
cache10–13-0.0516%19 Jul
dust29–13-0.0231%18 Jul
cache7–13-0.0226%18 Jul
nuke1–10-0.0921%18 Jul
nuke3–13-0.0830%17 Jul
shelter10–13-0.1112%17 Jul
cache13–5-0.0129%17 Jul
train9–13-0.0019%14 Jul
overpass13–50.1023%14 Jul
train6–13-0.0118%14 Jul
nuke1–13-0.0126%14 Jul
shelter8–13-0.0432%11 Jul
vertigo13–7-0.1127%11 Jul
cache6–13-0.0526%11 Jul
nuke12–12-0.0234%11 Jul
inferno13–1-0.0221%11 Jul
cache10–13-0.0239%10 Jul
mirage13–6-0.0418%10 Jul
cache10–13-0.0419%10 Jul
cache11–13-0.0535%10 Jul
anubis13–50.0428%10 Jul
shelter10–13-0.078%9 Jul
shelter13–50.0543%9 Jul
shelter12–12-0.0637%9 Jul
inferno9–13-0.0828%9 Jul
dust213–8-0.0224%9 Jul
ancient12–12-0.0717%9 Jul
train6–13-0.0226%6 Jul
ancient12–12-0.0720%6 Jul
inferno13–5-0.0115%6 Jul
train8–13-0.0425%5 Jul
anubis13–8-0.0115%5 Jul
train12–12-0.0135%5 Jul
nuke13–80.0223%5 Jul
nuke13–30.0921%5 Jul
cache13–70.1124%5 Jul
inferno11–130.0326%5 Jul
dust213–80.1227%5 Jul
nuke2–13-0.076%5 Jul
dust24–13-0.0839%5 Jul
inferno7–13-0.0911%3 Jul
cache7–130.0221%3 Jul
ancient2–13-0.0418%3 Jul
overpass13–70.0216%3 Jul
mirage13–110.0212%2 Jul
vertigo2–9-0.0219%2 Jul
overpass13–40.1318%2 Jul
anubis13–50.0514%2 Jul
anubis5–13-0.0122%2 Jul
ancient13–20.1024%2 Jul
inferno13–70.079%2 Jul
ancient8–13-0.0435%2 Jul
overpass0–13-0.0716%2 Jul
inferno6–13-0.0320%2 Jul
inferno11–13-0.0417%2 Jul
nuke13–6-0.0759%2 Jul
anubis1–00.040%2 Jul
inferno5–13-0.0325%1 Jul
vertigo8–4-0.0827%1 Jul
cache13–11-0.0537%1 Jul
inferno6–13-0.0625%1 Jul
train13–3-0.0218%1 Jul
vertigo10–130.0115%1 Jul
cache11–130.0724%1 Jul
cache11–13-0.0526%30 Jun
cache12–12-0.0316%30 Jun
dust213–11-0.0223%30 Jun
nuke4–13-0.0325%30 Jun
inferno7–13-0.0130%30 Jun
cache5–13-0.0419%30 Jun
mirage13–8-0.0121%30 Jun
dust27–13-0.0014%29 Jun
train10–13-0.059%29 Jun
vertigo10–13-0.0532%29 Jun
dust29–13-0.0426%29 Jun

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 →