eeeeeeepy~

eeeeeeepy~ — CS2 Stats

JP76561199150830601[U:1:1190564873]Steam profile ↗✓ No bans

169Tracked matches59%Win rate2025Tracked since
346Hours in CS18Hrs last 2 wks
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating13,754Blue band · top ~35% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (4 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: 13,754 +4,140 28 Jun – 8 Oct · 12 days played
9,16713,754peak 13,75428 Jun8 Oct
13,875Peak Premier in tracked matches
34Days played since 2026-05-07

Premier CS Rating

  • At peak — 13,754
  • +1,030 over 30 days · improving
  • +4,587 over 90 days
  • Next: Purple band at 15,000 — 1,246 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 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 rate60.3%42.0%44.3%above
Shot accuracy0.4%9.6%11.9%11.4% short
Kill/death ratio1.390.981.03above
Match win rate50.7%43.8%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.

Share this profile

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Performance scores

Aim81
Positioning69
Utility56

0–100 skill scores via Leetify.

Recent form

HOT57–36–7Last 10057%Win rateWLWWWWLWWW

Last 10 vs previous 10: +50pp win rate · −0.05 avg rating · −6.7pp headshot accuracy · +13ms reaction

Win rate up 50pp 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 (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 618ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.1
Utility5.6
Positioning6.9
Opening Duels6.5

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 68% on T to 52% on CT — first contacts on the defending side are being lost.

Reaction time. 613ms 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

Aim8.1
Positioning6.9
Utility5.6
Mechanics6.9
Opening Duels7.4
Win Impact8.1

Composite 6.9/10 (Solid), 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 rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time616ms−50ms
first ⅓ avg 666ms → last ⅓ avg 616ms
Headshot accuracy24.6%+1.2%
first ⅓ avg 23.5% → last ⅓ avg 24.6%

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

0.18Best match rating · 13–3 · anubis, 30 Jul →
52%Best headshot accuracy · 13–3 · train, 26 Sept →
469msFastest reaction time · 1–13 · anubis, 1 Oct →
13–1Biggest win · cache, 26 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 78% over 9officeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
anubisB158–753%0.03
cacheA149–564%0.05
ancientS118–373%0.05
mirageA116–555%0.03
infernoS97–278%0.05
officeD93–633%0.03
nukeB84–450%0.03
dust2B84–450%0.06
vertigoA53–260%0.09
train—32–167%0.03
italy—32–167%0.06
boulder—20–20%0.04
shelter—10–10%0.09
fachwerk—11–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

7,073Lifetime kills
1.39K/D · Top 5% of Blue band
365Matches
50.7%Match win rate · Top 10% of Blue band
60.3%Headshot % · Top 5% of Blue band
0.4%Shot accuracy
1,347MVPs
159Hours (in match)
190Bombs planted
67Bombs defused

Most-used weapons

Lifetime map wins

621inferno
334nuke
282dust2
190office
189train
169vertigo
93italy
6cbble

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.

24.0%Headshot accuracy
38.3%Accuracy (enemy spotted)
36.2%Spray accuracy
81.2%Counter-strafing
9.3°Preaim
613msReaction time
67.8%T opening success
51.5%CT opening success
0.53Enemies flashed / flash
6.9%Flash assists
12.07HE damage / grenade
9.82Flashes / match

Recent matches

MapScoreRatingHS%Date
nuke13–70.1326%10 Oct →
train3–13-0.069%10 Oct →
ancient13–90.0316%10 Oct →
inferno13–4-0.0015%10 Oct →
anubis13–5-0.0425%9 Oct →
vertigo13–20.0926%9 Oct →
dust26–130.0415%8 Oct →
anubis13–10-0.037%8 Oct →
mirage13–30.0420%3 Oct →
cache13–90.0916%3 Oct →
dust213–110.0820%3 Oct →
anubis3–130.039%3 Oct →
anubis1–13-0.0322%1 Oct →
mirage11–130.0134%1 Oct →
inferno13–20.0828%29 Sept →
vertigo11–130.1729%29 Sept →
vertigo11–130.0929%29 Sept →
ancient12–120.1034%27 Sept →
mirage12–120.0515%27 Sept →
cache13–90.1823%27 Sept →
inferno12–120.0115%27 Sept →
mirage13–40.1028%26 Sept →
shelter6–130.0924%26 Sept →
train13–30.0352%26 Sept →
italy9–130.0548%26 Sept →
cache13–1-0.0135%26 Sept →
anubis14–16-0.0620%26 Sept →
cache13–160.0625%22 Sept →
inferno13–50.0432%22 Sept →
inferno13–6-0.0127%4 Sept →
anubis13–100.0428%4 Sept →
italy13–40.0830%4 Sept →
cache13–20.0630%4 Sept →
nuke9–13-0.0222%2 Sept →
office10–130.0927%2 Sept →
anubis13–30.1833%30 Jul →
anubis13–70.1828%30 Jul →
ancient13–20.0520%25 Jul →
dust213–80.1327%25 Jul →
cache1–13-0.0231%18 Jul →
dust213–50.0729%18 Jul →
ancient3–130.0416%18 Jul →
inferno6–130.0135%17 Jul →
nuke13–8-0.0039%17 Jul →
cache13–60.0132%17 Jul →
anubis13–80.0428%17 Jul →
anubis9–13-0.0126%16 Jul →
ancient13–70.1339%16 Jul →
inferno13–50.0725%16 Jul →
anubis6–13-0.0527%14 Jul →
cache4–130.0330%14 Jul →
boulder12–120.0636%13 Jul →
anubis13–60.0335%12 Jul →
mirage7–10.1320%12 Jul →
office13–110.0623%12 Jul →
cache12–12-0.0527%12 Jul →
office12–120.0536%11 Jul →
cache13–90.0830%11 Jul →
mirage13–110.1015%10 Jul →
dust210–130.0223%10 Jul →
dust25–130.0234%10 Jul →
mirage3–13-0.0523%10 Jul →
cache13–40.1533%10 Jul →
mirage5–13-0.0513%10 Jul →
fachwerk13–30.0137%9 Jul →
boulder11–130.0336%9 Jul →
ancient11–130.0620%4 Jul →
nuke13–5-0.0335%4 Jul →
cache13–70.1738%2 Jul →
nuke4–130.0927%2 Jul →
office2–130.0226%30 Jun →
dust212–12-0.0027%30 Jun →
vertigo13–90.0322%29 Jun →
mirage8–130.0120%29 Jun →
mirage16–13-0.0018%28 Jun →
anubis11–130.1327%28 Jun →
nuke13–80.0942%28 Jun →
ancient13–10.1636%28 Jun →
inferno13–40.0935%28 Jun →
inferno13–50.1721%28 Jun →
ancient13–6-0.0220%28 Jun →
vertigo13–110.0725%28 Jun →
ancient10–6-0.0132%28 Jun →
nuke2–13-0.0148%21 Jun →
ancient13–90.0427%8 Jun →
anubis13–60.1025%8 Jun →
mirage13–9-0.0028%8 Jun →
dust213–30.1118%17 May →
train13–90.1045%17 May →
office3–13-0.0121%11 May →
cache13–6-0.024%9 May →
nuke7–130.0110%9 May →
office7–13-0.0519%9 May →
anubis6–13-0.064%9 May →
cache2–13-0.117%8 May →
office13–110.0224%8 May →
italy13–60.0510%8 May →
ancient13–90.027%8 May →
office5–130.0113%8 May →
office13–40.0713%7 May →

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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