Commander in Keef — CS2 Stats

76561198069438610[U:1:109172882]✓ No bans

1,572Tracked matches48%Win rate2020Tracked since
1,364Hours in CS
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating9,238Light Blue band · top ~58.5% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,572 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 25 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 9,238 +3,603 8 Aug31 Aug · 17 days played
5,6359,653peak 9,6538 Aug31 Aug
9,947Peak Premier in tracked matches
24Days played since 2026-07-25

Premier CS Rating

  • 415 below peak (9,653)
  • +3,603 over 30 days · improving
  • Next: Blue band at 10,000 762 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,607), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate37.7%39.9%41.9%4.2% short
Shot accuracy12.8%6.9%9.6%above
Kill/death ratio0.870.920.980.10 short
Match win rate42.7%42.3%43.8%1.1% short

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

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

Share this profile

CSDB.GGCommander in KeefPREMIER9,238 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim55
Positioning42
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY46522Last 10046%Win rateLTWWLLWLWL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −6.2pp headshot accuracy · −56ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 634ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 666ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 694ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+0.9 against its own average).

Aim5.5
Utility1.9
Positioning4.2
Opening Duels3.8

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 98% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 688ms 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

Aim5.5
Positioning4.2
Utility1.9
Mechanics6.5
Opening Duels2.3
Win Impact4.4

Composite 4.0/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time683ms−45ms
first ⅓ avg 728ms → last ⅓ avg 683ms
Headshot accuracy17.6%+0.5%
first ⅓ avg 17.1% → last ⅓ avg 17.6%

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.

Personal bests

0.17Best match rating · 13–3 · mirage, 24 Aug
35%Best headshot accuracy · 6–13 · mirage, 27 Jul
430msFastest reaction time · 9–13 · inferno, 15 Aug
13–1Biggest win · ancient, 10 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
93In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 79% over 19dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB31141745%0.02
infernoB23111248%0.00
ancientS1915479%0.02
cacheD102820%-0.03
anubisD93633%-0.04
dust2D61517%-0.04
nuke2020%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,275Lifetime kills
0.87K/D
3,415Matches
42.7%Match win rate · Top 50% of Light Blue band
37.7%Headshot %
12.8%Shot accuracy · Top 50% of Light Blue band
6,373MVPs
1,364Hours (in match)
1,209Bombs planted
555Bombs defused

Most-used weapons

Lifetime map wins

10,622inferno
2,759dust2
1,206nuke
491vertigo
201train
184office
104cbble
53ar_shoots

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.

17.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
35.8%Spray accuracy
79.3%Counter-strafing
11.8°Preaim
688msReaction time
34.6%T opening success
43.8%CT opening success
0.29Enemies flashed / flash
9.6%Flash assists
4.28HE damage / grenade
1.39Flashes / 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 0.2921 — 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 34.6075% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0720%31 Aug
inferno15–15-0.0519%31 Aug
mirage13–10-0.0211%31 Aug
anubis13–9-0.0322%31 Aug
inferno5–130.028%27 Aug
inferno13–16-0.076%27 Aug
ancient13–11-0.0114%27 Aug
mirage10–13-0.037%27 Aug
mirage13–9-0.0420%26 Aug
anubis10–13-0.0324%26 Aug
mirage16–140.0832%26 Aug
anubis13–6-0.0224%25 Aug
ancient13–8-0.0120%25 Aug
cache6–13-0.0614%25 Aug
inferno13–90.0320%25 Aug
ancient4–13-0.0623%25 Aug
mirage13–30.1731%24 Aug
inferno16–140.0321%24 Aug
mirage13–160.0519%24 Aug
mirage8–130.0010%21 Aug
ancient13–60.0230%21 Aug
inferno13–11-0.016%21 Aug
ancient13–80.0511%21 Aug
nuke11–130.0417%21 Aug
dust210–13-0.0115%20 Aug
anubis13–110.0219%20 Aug
inferno13–160.0118%20 Aug
cache5–13-0.0412%20 Aug
inferno9–130.0420%20 Aug
mirage5–130.0710%19 Aug
mirage11–70.0518%19 Aug
ancient13–11-0.0124%19 Aug
ancient13–40.0414%19 Aug
mirage15–15-0.0121%18 Aug
dust25–13-0.0224%17 Aug
mirage7–13-0.0413%17 Aug
mirage13–100.0720%17 Aug
inferno14–160.0519%17 Aug
inferno9–13-0.0423%15 Aug
ancient13–7-0.007%15 Aug
inferno13–10-0.0020%15 Aug
inferno13–8-0.0119%15 Aug
ancient13–50.0918%15 Aug
dust22–13-0.0511%13 Aug
inferno13–70.0512%13 Aug
inferno13–100.0414%13 Aug
mirage13–90.0123%13 Aug
mirage7–130.1126%12 Aug
ancient13–16-0.0113%12 Aug
inferno13–30.0410%12 Aug
cache13–50.0220%12 Aug
mirage13–20.0822%12 Aug
mirage13–100.0027%12 Aug
anubis7–13-0.049%11 Aug
mirage4–13-0.0615%11 Aug
inferno10–130.0115%11 Aug
ancient13–10.1517%10 Aug
mirage11–130.0118%10 Aug
ancient16–130.0014%10 Aug
cache7–13-0.0715%10 Aug
mirage8–13-0.0022%10 Aug
ancient13–110.0529%10 Aug
inferno13–6-0.0120%9 Aug
dust213–10-0.0422%8 Aug
cache13–10-0.0524%8 Aug
ancient6–13-0.0211%8 Aug
dust210–13-0.0724%8 Aug
ancient13–30.1520%8 Aug
mirage13–60.0521%8 Aug
mirage13–20.0216%8 Aug
mirage3–13-0.0613%7 Aug
inferno10–13-0.0112%7 Aug
cache3–13-0.0214%7 Aug
anubis8–13-0.0315%7 Aug
nuke7–13-0.1010%7 Aug
anubis8–13-0.0216%7 Aug
inferno13–16-0.0913%6 Aug
cache7–13-0.0519%6 Aug
inferno4–130.0014%6 Aug
mirage0–13-0.0615%6 Aug
mirage1–13-0.0714%5 Aug
ancient13–11-0.0220%5 Aug
anubis2–13-0.117%5 Aug
inferno13–100.0213%5 Aug
dust29–13-0.0319%4 Aug
mirage13–10-0.0616%4 Aug
ancient5–13-0.0418%4 Aug
inferno13–60.0634%4 Aug
inferno10–13-0.0418%3 Aug
mirage13–110.0418%3 Aug
cache7–13-0.0213%3 Aug
mirage10–130.0723%27 Jul
mirage2–13-0.0233%27 Jul
mirage13–20.0523%27 Jul
ancient13–80.0213%27 Jul
mirage6–130.1035%27 Jul
ancient13–80.0616%27 Jul
cache8–130.0021%27 Jul
cache7–130.0212%27 Jul
anubis3–13-0.080%25 Jul

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 →