- k3rmitZ^ 82 ッ

- k3rmitZ^ 82 ッ — CS2 Stats

76561197961335920[U:1:1070192]Steam profile ↗✓ No bans

1,528Tracked matches31%Win rate2024Tracked since
2,379Hours in CS28Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
Premier CS Rating14,146Blue band · top ~32.9% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). 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: 14,146 -1,154 6 Sept – 26 Oct · 33 days played
13,41418,554peak 18,5546 Sept26 Oct
18,554Peak Premier in tracked matches
32Days played since 2026-09-06

Premier CS Rating

  • 4,408 below peak (18,554)
  • -4,160 over 30 days · declining
  • Next: Purple band at 15,000 — 854 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches237——
Win rate16%——
K/D1.20——
Headshot %35%——

Measured 25 Sep 2026 → 27 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate33.7%42.0%44.4%10.6% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.280.981.03above
Match win rate42.3%43.8%45.2%3.0% 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.

Share this profile

CSDB.GG- k3rmitZ^ 82 ッPREMIER14,146 · Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning55
Utility61

0–100 skill scores via Leetify.

Recent form

COLD36–61–3Last 10036%Win rateWWLWLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.4pp headshot accuracy · −17ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 552ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 531ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 539ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim5.4
Utility6.1
Positioning5.5
Opening Duels3.0

Effective flashes

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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 551ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning5.5
Utility6.1
Mechanics4.1
Opening Duels3.9
Win Impact0.0

Composite 4.4/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time557ms+7ms
first ⅓ avg 550ms → last ⅓ avg 557ms
Headshot accuracy12.4%+0.2%
first ⅓ avg 12.2% → last ⅓ avg 12.4%

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

0.13Best match rating · 10–13 · inferno, 14 Sept →
40%Best headshot accuracy · 0–9 · inferno, 3 Oct →
328msFastest reaction time · 0–9 · inferno, 3 Oct →
13–3Biggest win · dust2, 26 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 60% over 15anubisWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.01
ancientC167–944%0.00
cacheD155–1033%-0.03
nukeA159–660%-0.00
dust2D133–1023%0.00
anubisD132–1115%-0.00
mirageD61–517%0.02
rush_001—10–10%-0.02
poseidon—10–10%-0.17

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,546Lifetime kills
1.28K/D · Top 10% of Blue band
4,808Matches
42.3%Match win rate
33.7%Headshot %
0.0%Shot accuracy
6,875MVPs
1,439Hours (in match)
2,670Bombs planted
693Bombs defused

Most-used weapons

AK-478,629
MAC-104,672
FAMAS4,236
AWP4,227
MP93,883
AUG2,637

Lifetime map wins

4,848inferno
4,193nuke
3,309office
2,693italy
2,665dust2
1,705train
949vertigo
99ar_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.

12.2%Headshot accuracy
34.5%Accuracy (enemy spotted)
36.3%Spray accuracy
68.5%Counter-strafing
10.5°Preaim
551msReaction time
51.4%T opening success
40.1%CT opening success
0.71Enemies flashed / flash
2.6%Flash assists
7.86HE damage / grenade
7.25Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.2004% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–30.0825%26 Oct →
inferno13–100.017%26 Oct →
dust26–130.0112%25 Oct →
anubis13–8-0.0012%25 Oct →
inferno5–13-0.0114%25 Oct →
mirage8–13-0.029%25 Oct →
cache7–13-0.0316%25 Oct →
dust210–13-0.042%24 Oct →
mirage9–130.0619%24 Oct →
ancient11–13-0.0411%22 Oct →
dust26–13-0.0016%22 Oct →
cache5–13-0.0431%20 Oct →
dust24–130.057%19 Oct →
ancient8–130.098%14 Oct →
inferno16–13-0.048%14 Oct →
inferno9–13-0.0217%13 Oct →
nuke13–70.1013%13 Oct →
dust28–130.0211%12 Oct →
nuke13–80.0512%12 Oct →
ancient13–90.018%12 Oct →
nuke15–150.008%12 Oct →
mirage14–160.0416%11 Oct →
ancient11–13-0.036%11 Oct →
cache13–8-0.0118%11 Oct →
dust26–130.0511%11 Oct →
ancient1–13-0.0616%11 Oct →
cache13–7-0.028%11 Oct →
mirage8–13-0.039%10 Oct →
nuke2–130.0211%10 Oct →
ancient8–13-0.0016%10 Oct →
inferno13–70.0613%10 Oct →
cache0–13-0.118%8 Oct →
anubis4–13-0.0210%8 Oct →
dust213–60.0712%8 Oct →
cache5–13-0.058%8 Oct →
dust213–10-0.0214%6 Oct →
rush_0016–8-0.0214%6 Oct →
cache7–13-0.0410%6 Oct →
inferno11–13-0.0714%5 Oct →
inferno9–40.0523%4 Oct →
nuke7–90.0315%4 Oct →
nuke9–7-0.112%3 Oct →
poseidon0–9-0.170%3 Oct →
nuke0–9-0.227%3 Oct →
inferno0–9-0.2840%3 Oct →
anubis1–13-0.1114%28 Sept →
cache15–15-0.0214%27 Sept →
cache2–13-0.0516%27 Sept →
nuke10–130.0713%27 Sept →
dust29–13-0.059%27 Sept →
inferno6–13-0.0113%27 Sept →
inferno5–13-0.085%24 Sept →
nuke13–10-0.018%23 Sept →
inferno16–14-0.0011%23 Sept →
anubis11–130.0316%23 Sept →
anubis9–13-0.017%22 Sept →
cache13–9-0.0210%21 Sept →
dust26–13-0.0412%21 Sept →
nuke16–140.0714%20 Sept →
anubis6–13-0.0016%20 Sept →
ancient13–80.0611%20 Sept →
inferno14–16-0.0415%20 Sept →
dust212–12-0.0621%20 Sept →
inferno4–13-0.044%20 Sept →
cache4–130.0115%19 Sept →
ancient13–70.0714%19 Sept →
nuke13–70.018%19 Sept →
nuke13–7-0.028%19 Sept →
ancient13–40.109%19 Sept →
nuke6–13-0.0310%19 Sept →
ancient6–130.017%19 Sept →
anubis8–130.0413%19 Sept →
inferno13–7-0.037%19 Sept →
anubis6–13-0.037%19 Sept →
ancient13–80.005%19 Sept →
ancient4–13-0.026%19 Sept →
anubis5–130.127%19 Sept →
inferno10–13-0.0021%16 Sept →
anubis13–100.0821%15 Sept →
ancient13–90.0311%14 Sept →
inferno10–130.1313%14 Sept →
anubis2–13-0.1111%13 Sept →
nuke13–10-0.0315%13 Sept →
inferno13–110.0715%9 Sept →
ancient16–14-0.018%9 Sept →
dust211–13-0.0418%9 Sept →
mirage8–20.0829%9 Sept →
mirage11–13-0.008%9 Sept →
inferno13–30.1114%9 Sept →
cache4–13-0.0213%9 Sept →
cache13–110.0112%9 Sept →
ancient9–13-0.0215%8 Sept →
anubis14–16-0.0111%8 Sept →
inferno13–11-0.037%8 Sept →
ancient0–13-0.1514%8 Sept →
anubis6–13-0.0314%7 Sept →
nuke13–70.039%7 Sept →
cache13–110.0216%7 Sept →
inferno5–13-0.0215%6 Sept →
cache6–13-0.0318%6 Sept →

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 →

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