B.I.M.S.E ⊕☁ — CS2 Stats

76561198345167646[U:1:384901918]

1,692Tracked matches48%Win rate2020Tracked since
3,465Hours in CS2Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate43.2%42.7%44.0%meets
Shot accuracy16.5%10.8%11.6%above
Kill/death ratio0.851.001.030.18 short
Match win rate40.1%44.1%45.1%5.0% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGB.I.M.S.E ⊕☁FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning46
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateWLWTWLLLWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression5.3
Utility2.0
Positioning4.6
Opening Duels1.5
Clutch7.2

Limited utility dependenceReliable in 1v1s

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 81% 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. 636ms 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

Aim7.3
Positioning4.6
Utility2.0
Mechanics6.5
Opening Duels1.5
Win Impact4.4

Composite 5.0/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time645ms+30ms
first ⅓ avg 615ms → last ⅓ avg 645ms
Headshot accuracy20.6%−1.0%
first ⅓ avg 21.7% → last ⅓ avg 20.6%

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 13–1
131Biggest win — nuke
6Longest win streak
55In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 64% over 22infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
cacheA2214864%0.00
dust2C1871139%-0.01
mirageB178947%-0.02
nukeB147750%0.01
infernoC114736%-0.02
vertigoB105550%-0.02
office2020%-0.01
train21150%-0.03
overpass21150%0.03
boulder110100%-0.05
anubis110100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,414Lifetime kills
0.85K/D
5,362Matches
40.1%Match win rate
43.2%Headshot % · Top 50% of Level 4 players
16.5%Shot accuracy · Top 25% of Level 4 players
13,585MVPs
1,859Hours (in match)
3,279Bombs planted
923Bombs defused

Most-used weapons

AK-4721,199
AWP10,426
SSG 083,539
FAMAS3,006
SG 5531,712

Lifetime map wins

7,090inferno
5,079dust2
4,659nuke
2,021train
1,749vertigo
1,172office
1,042lake
232safehouse

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

Faceit stats

Combat

105Matches
52%Win rate
0.93Avg K/D
80.8ADR
41%Headshot %

Clutches & streaks

56%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1346%0.8613.3
Nuke1040%1.0114.8
Inferno683%1.1214.7
Ancient560%0.8915.8
Dust2333%0.8612.7
Vertigo20%0.6111.5
Anubis1100%1.0017.0

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.

21.6%Headshot accuracy
35.4%Accuracy (enemy spotted)
35.0%Spray accuracy
79.3%Counter-strafing
8.6°Preaim
636msReaction time
31.4%T opening success
40.6%CT opening success
0.35Enemies flashed / flash
1.2%Flash assists
11.37HE damage / grenade
2.20Flashes / 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. 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 0.3539 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 31.363% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0017%30 Aug
mirage0–11-0.110%29 Aug
cache13–100.0229%29 Aug
office12–12-0.0515%25 Jul
dust213–60.0833%25 Jul
office10–130.0323%24 Jul
nuke2–13-0.0428%24 Jul
vertigo7–130.0621%21 Jul
boulder13–4-0.0520%20 Jul
inferno6–130.0132%7 Jul
mirage4–13-0.0129%4 Jul
dust213–90.0221%4 Jul
dust20–11-0.0729%3 Jul
nuke13–9-0.0735%3 Jul
cache2–13-0.078%3 Jul
dust212–120.0332%2 Jul
mirage8–13-0.0313%29 Jun
cache13–90.0014%28 Jun
vertigo13–80.0218%28 Jun
nuke11–13-0.0516%28 Jun
nuke1–13-0.0615%27 Jun
inferno8–13-0.1010%27 Jun
mirage13–50.0513%27 Jun
cache13–70.0322%27 Jun
mirage12–12-0.0522%26 Jun
nuke13–10-0.0032%26 Jun
inferno7–130.0426%26 Jun
dust23–130.0821%26 Jun
inferno13–40.0720%24 Jun
cache13–70.0623%24 Jun
mirage13–9-0.0713%24 Jun
cache11–130.0319%23 Jun
cache13–100.0112%23 Jun
cache13–40.1023%23 Jun
cache8–13-0.0020%23 Jun
inferno13–8-0.0120%22 Jun
dust24–13-0.0430%22 Jun
dust213–7-0.0220%22 Jun
dust213–2-0.0317%22 Jun
dust25–13-0.0120%18 Jun
cache10–130.0019%18 Jun
nuke13–9-0.0023%18 Jun
mirage13–50.0419%18 Jun
inferno2–130.0115%17 Jun
cache7–13-0.0321%17 Jun
nuke12–120.0815%17 Jun
dust213–7-0.0022%15 Jun
vertigo11–13-0.0913%8 Jun
nuke13–100.0524%8 Jun
cache1–13-0.0231%8 Jun
dust210–130.0419%8 Jun
cache13–100.0335%7 Jun
mirage13–110.0123%7 Jun
nuke12–120.0626%7 Jun
vertigo11–13-0.1011%7 Jun
dust27–13-0.0713%7 Jun
dust28–13-0.0743%7 Jun
cache13–7-0.0416%5 Jun
mirage2–13-0.088%5 Jun
dust213–4-0.0225%5 Jun
train13–60.0117%1 Jun
nuke7–13-0.0124%1 Jun
cache9–13-0.0328%1 Jun
overpass4–100.0427%31 May
vertigo2–0-0.030%31 May
inferno5–13-0.1015%31 May
mirage7–13-0.0237%30 May
cache13–11-0.0217%30 May
vertigo7–13-0.0525%29 May
mirage7–13-0.0419%29 May
mirage5–2-0.0317%29 May
cache13–40.0532%29 May
dust29–13-0.0615%29 May
train11–13-0.0734%28 May
anubis13–100.0412%27 May
nuke13–10.1325%27 May
vertigo13–7-0.0120%27 May
mirage13–10-0.0513%26 May
vertigo13–100.1319%26 May
cache13–11-0.0123%25 May
dust24–13-0.1030%25 May
overpass13–30.0221%25 May
inferno13–6-0.099%25 May
nuke13–3-0.018%25 May
vertigo7–13-0.076%25 May
cache6–13-0.0638%25 May
cache13–40.0046%22 May
inferno3–13-0.036%22 May
mirage13–60.0428%21 May
cache13–50.0029%21 May
nuke12–120.0214%18 May
inferno12–12-0.0718%18 May
mirage8–13-0.0120%18 May
mirage13–4-0.0432%17 May
dust213–11-0.0312%17 May
vertigo13–8-0.0120%16 May
nuke13–30.0524%16 May
cache13–90.0121%16 May
dust210–130.0328%10 May
mirage6–130.0435%10 May

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 →