Cumstein

Cumstein — CS2 Stats

PG76561199531923551[U:1:1571657823]Steam profile ↗✓ No bans

371Tracked matches41%Win rate2025Tracked since
1,461Hours in CS
CSDB Rating3.7 LearningPositional Player
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,999 -2,621 6 Aug – 30 Sept · 12 days played
9,00013,418peak 13,4186 Aug30 Sept
13,636Peak Premier in tracked matches
28Days played since 2026-07-11

Premier CS Rating

  • 3,419 below peak (13,418)
  • Next: Blue band at 10,000 — 1 to go
  • Reached: Blue band · Light Blue band

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=8,820), 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 rate56.3%39.9%42.0%above
Shot accuracy4.1%7.0%9.6%5.5% short
Kill/death ratio1.150.920.98above
Match win rate50.3%42.3%43.8%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGCumsteinPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning43
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWWLWLWWLWL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −3.6pp headshot accuracy · +3ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 555ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 557ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim5.6
Utility2.7
Positioning4.3
Opening Duels0.6

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

iM

Plays most like iM 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Reaction time. 625ms 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
Positioning4.3
Utility2.7
Mechanics6.3
Opening Duels0.1
Win Impact2.1

Composite 3.7/10 (Learning), 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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time618ms−11ms
first ⅓ avg 629ms → last ⅓ avg 618ms
Headshot accuracy21.4%−0.0%
first ⅓ avg 21.4% → last ⅓ avg 21.4%

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.

Personal bests

0.34Best match rating · 9–1 · inferno, 12 Jul →
41%Best headshot accuracy · 14–16 · mirage, 13 Aug →
422msFastest reaction time · 6–13 · office, 25 Aug →
13–1Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
10–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 73% over 11mirageWeakest map · 31% over 35
MapGradePlayedRecordWin rateAvg rating
mirageD3511–2431%0.03
officeB2210–1245%0.02
nukeS118–373%-0.01
infernoA116–555%0.06
dust2B105–550%-0.03
cache—44–0100%0.01
ancient—30–30%-0.04
anubis—21–150%-0.01
vertigo—11–0100%0.00
overpass—10–10%-0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 35). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,496Lifetime kills
1.15K/D · Top 25% of Light Blue band
751Matches
50.3%Match win rate · Top 10% of Light Blue band
56.3%Headshot % · Top 5% of Light Blue band
4.1%Shot accuracy
3,189MVPs
1,461Hours (in match)
766Bombs planted
250Bombs defused

Most-used weapons

Lifetime map wins

774office
713inferno
616nuke
578dust2
260vertigo
71train
38lake
25italy

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.

22.1%Headshot accuracy
28.7%Accuracy (enemy spotted)
29.8%Spray accuracy
78.5%Counter-strafing
9.7°Preaim
625msReaction time
29.5%T opening success
30.9%CT opening success
0.33Enemies flashed / flash
2.5%Flash assists
5.34HE damage / grenade
7.20Flashes / 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 0.332 — 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 29.4822% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10.1325%5 Oct →
office13–7-0.0323%5 Oct →
office6–13-0.0916%5 Oct →
nuke13–110.0524%30 Sept →
mirage5–13-0.147%29 Sept →
office3–20.0314%22 Sept →
office13–110.0229%22 Sept →
ancient7–13-0.0014%22 Sept →
nuke13–100.0129%21 Sept →
dust28–13-0.0216%9 Sept →
mirage7–130.0923%9 Sept →
office7–130.0834%8 Sept →
cache13–110.017%1 Sept →
vertigo13–60.0027%1 Sept →
mirage7–130.0125%30 Aug →
office6–130.0121%25 Aug →
office13–4-0.0433%25 Aug →
office2–80.0931%25 Aug →
mirage4–13-0.0220%20 Aug →
ancient4–7-0.0511%14 Aug →
inferno6–130.0120%14 Aug →
cache13–110.028%14 Aug →
mirage14–16-0.0341%13 Aug →
nuke2–13-0.0619%13 Aug →
nuke11–40.0529%12 Aug →
anubis2–130.0015%12 Aug →
nuke13–160.0118%10 Aug →
nuke9–40.0422%10 Aug →
mirage4–13-0.0118%10 Aug →
inferno13–10-0.0323%10 Aug →
mirage15–15-0.0420%8 Aug →
nuke13–11-0.0217%8 Aug →
inferno12–120.0520%7 Aug →
cache13–11-0.0317%6 Aug →
anubis13–8-0.0212%6 Aug →
cache13–100.0226%6 Aug →
dust213–10-0.0220%6 Aug →
dust213–80.0011%5 Aug →
dust29–13-0.0621%5 Aug →
mirage13–80.0422%5 Aug →
nuke13–2-0.0339%4 Aug →
mirage4–13-0.0621%4 Aug →
mirage10–2-0.0239%4 Aug →
mirage9–130.0421%4 Aug →
mirage3–8-0.085%30 Jul →
mirage4–13-0.0419%30 Jul →
overpass2–9-0.1215%30 Jul →
inferno1–9-0.124%30 Jul →
mirage5–130.0021%30 Jul →
dust213–6-0.017%18 Jul →
dust29–1-0.130%18 Jul →
dust213–90.0411%16 Jul →
office11–13-0.0013%16 Jul →
office13–110.0119%16 Jul →
office13–80.0821%16 Jul →
mirage13–40.1020%16 Jul →
office13–100.0520%16 Jul →
office12–120.0118%15 Jul →
office6–13-0.0220%14 Jul →
mirage8–130.0327%14 Jul →
mirage11–130.0127%14 Jul →
mirage4–130.0230%14 Jul →
mirage6–130.0210%14 Jul →
mirage13–10.0728%14 Jul →
mirage13–3-0.047%14 Jul →
office11–13-0.0526%14 Jul →
office9–130.1231%14 Jul →
office13–80.009%14 Jul →
office13–50.0425%14 Jul →
office13–60.0631%14 Jul →
office8–130.0525%13 Jul →
mirage12–120.0728%13 Jul →
mirage6–130.1021%13 Jul →
mirage11–130.1029%13 Jul →
ancient7–13-0.0817%12 Jul →
nuke13–7-0.0828%12 Jul →
inferno6–9-0.0421%12 Jul →
inferno8–8-0.0926%12 Jul →
inferno9–20.0338%12 Jul →
inferno9–10.3414%12 Jul →
inferno9–70.0917%12 Jul →
inferno9–70.1730%12 Jul →
inferno9–50.2016%12 Jul →
nuke2–9-0.1315%12 Jul →
nuke9–20.0613%12 Jul →
mirage3–130.0728%12 Jul →
mirage13–60.1424%12 Jul →
mirage13–50.1420%12 Jul →
mirage13–90.1519%12 Jul →
mirage6–13-0.0119%12 Jul →
mirage2–13-0.0815%12 Jul →
mirage3–130.0133%11 Jul →
mirage12–120.1015%11 Jul →
dust24–130.0316%11 Jul →
mirage13–80.0321%11 Jul →
office11–130.0125%11 Jul →
dust28–13-0.058%11 Jul →
office9–130.0115%11 Jul →
dust212–16-0.0725%11 Jul →
mirage16–13-0.0221%11 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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