M8 Kanser — CS2 Stats

76561198104806489[U:1:144540761]

1,260Tracked matches52%Win rate2022Tracked since
1,408Hours in CS7Hrs last 2 wks
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating13,874Blue band · top ~34.4% of ranked players (population est.)
CSDB Leaderboard#34009 of 53234 tracked
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 rate45.4%41.4%44.2%above
Shot accuracy2.1%9.0%11.6%9.4% short
Kill/death ratio1.210.971.03above
Match win rate50.1%43.7%45.2%above

This profile matches the typical Purple band player on 3 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.GGM8 KanserPREMIER13,874 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning46
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateWWWLWWLTLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim6.1
Aggression3.1
Utility4.7
Positioning4.6
Opening Duels0.8

Limited utility dependence

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: positioning profile, utility contribution.

Where you differ: lower opening-fight frequency; 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

Reaction time. 667ms 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

Aim6.1
Positioning4.6
Utility4.7
Mechanics6.9
Opening Duels1.1
Win Impact5.6

Composite 4.9/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time666ms−47ms
first ⅓ avg 713ms → last ⅓ avg 666ms
Headshot accuracy16.4%−2.4%
first ⅓ avg 18.8% → 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 — anubis 13–3
131Biggest win — anubis
5Longest win streak
W3Current streak
128In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 79% over 14infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC27111641%0.01
nukeC1881044%0.02
anubisS1411379%0.05
ancientB136746%0.03
dust2B136746%-0.00
cacheC73443%-0.02
infernoD62433%0.03
overpass2020%0.02

Across the last 100 tracked matches.

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

Lifetime stats

31,656Lifetime kills
1.21K/D · Top 25% of Blue band
1,721Matches
50.1%Match win rate · Top 10% of Blue band
45.4%Headshot % · Top 50% of Blue band
2.1%Shot accuracy
4,323MVPs
666Hours (in match)
1,179Bombs planted
543Bombs defused

Most-used weapons

Lifetime map wins

2,933nuke
2,103dust2
1,990inferno
1,470vertigo
509train
34office
13italy
13stmarc

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.

16.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
39.2%Spray accuracy
81.0%Counter-strafing
11.0°Preaim
667msReaction time
27.2%T opening success
39.0%CT opening success
0.68Enemies flashed / flash
2.4%Flash assists
13.38HE damage / grenade
4.08Flashes / 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 27.2152% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–90.0518%30 Aug
mirage13–30.0719%30 Aug
anubis13–70.0317%30 Aug
nuke6–13-0.0813%26 Aug
dust213–90.0113%26 Aug
mirage13–70.0521%25 Aug
ancient8–13-0.0121%25 Aug
nuke15–150.0117%19 Aug
dust212–160.0120%19 Aug
mirage8–13-0.0216%19 Aug
nuke16–14-0.0117%18 Aug
anubis13–110.0020%12 Aug
cache7–130.0023%11 Aug
anubis13–90.0113%11 Aug
nuke8–13-0.0221%11 Aug
cache7–13-0.0810%11 Aug
ancient13–20.0328%11 Aug
cache11–13-0.0616%10 Aug
dust25–13-0.0116%10 Aug
cache13–9-0.0319%10 Aug
ancient8–13-0.0417%5 Aug
anubis13–10.0911%5 Aug
mirage13–3-0.053%5 Aug
ancient8–13-0.058%5 Aug
mirage12–16-0.0612%5 Aug
nuke13–50.0816%5 Aug
mirage6–130.0424%31 Jul
nuke13–80.0521%31 Jul
anubis13–30.1316%31 Jul
mirage10–130.0112%31 Jul
inferno13–80.0617%31 Jul
nuke11–13-0.0013%31 Jul
mirage10–130.0116%31 Jul
dust211–13-0.0317%31 Jul
ancient13–60.0918%29 Jul
nuke13–100.1022%29 Jul
nuke7–13-0.0415%29 Jul
ancient8–130.0124%29 Jul
mirage16–14-0.0215%29 Jul
cache13–60.0823%29 Jul
anubis13–80.0812%15 Jul
nuke15–150.0228%15 Jul
mirage6–13-0.0612%15 Jul
anubis15–150.0222%14 Jul
cache13–110.0014%14 Jul
nuke13–100.0618%11 Jul
inferno13–110.0720%1 Jul
nuke13–40.1128%24 Jun
ancient8–130.0120%23 Jun
anubis13–5-0.0429%23 Jun
mirage6–13-0.0010%16 Jun
dust210–130.0322%16 Jun
mirage3–90.0235%12 Jun
nuke10–130.0013%12 Jun
mirage7–13-0.046%11 Jun
anubis13–40.0129%11 Jun
nuke15–15-0.0419%7 Jun
dust213–70.0112%7 Jun
nuke13–10.0917%7 Jun
anubis13–110.1015%7 Jun
mirage13–11-0.0122%6 Jun
mirage13–100.0415%6 Jun
anubis10–130.0822%1 Jun
mirage13–100.0722%1 Jun
dust213–8-0.0510%1 Jun
mirage13–70.0314%1 Jun
ancient16–140.0613%1 Jun
inferno11–130.0215%1 Jun
mirage13–40.0110%1 Jun
ancient13–110.1115%31 May
mirage14–160.0424%31 May
mirage11–13-0.0114%11 May
mirage9–130.0313%11 May
inferno5–13-0.0227%11 May
dust213–30.0720%11 May
mirage13–16-0.0318%8 May
dust29–13-0.0213%8 May
mirage11–13-0.0023%8 May
cache0–4-0.0229%2 May
mirage13–11-0.0115%30 Apr
mirage9–130.0132%30 Apr
overpass4–130.0017%27 Apr
anubis13–60.0921%27 Apr
nuke13–110.0111%26 Apr
nuke9–130.0414%25 Apr
ancient12–160.0417%25 Apr
nuke11–13-0.0535%19 Apr
dust23–13-0.0145%19 Apr
overpass5–130.0321%15 Apr
inferno7–130.0021%14 Apr
ancient13–40.0820%14 Apr
dust213–11-0.0611%14 Apr
mirage13–160.0315%14 Apr
dust213–50.0426%14 Apr
anubis15–150.0015%14 Apr
inferno10–130.0617%13 Apr
ancient9–130.0221%13 Apr
mirage13–90.0210%13 Apr
anubis13–10.086%13 Apr
dust23–13-0.038%13 Apr

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 →