eepe4 =D

eepe4 =D — CS2 Stats

76561198109836717[U:1:149570989]Steam profile ↗✓ No bans

577Tracked matches52%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating23,399Top 25% of 204,793 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)
CSDB Leaderboard#37715 of 251944 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Apr 2026 (175 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: 23,399 +9,828 21 Mar – 23 Apr · 27 days played
13,46423,399peak 23,39921 Mar23 Apr
23,399Peak Premier in tracked matches
47Days played since 2024-03-21

Premier CS Rating

  • At peak — 23,399
  • +1,344 over 30 days · improving
  • Next: Red band at 25,000 — 1,601 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGeepe4 =DPREMIER23,399 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning69
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLLWWWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −4.9pp headshot accuracy · −59ms 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 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 508ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 602ms

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 (+1.2 against its own average).

Aim8.3
Utility6.1
Positioning6.9
Opening Duels5.1
Clutch4.6

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

jL

Plays most like jL 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 593ms 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

Aim8.3
Positioning6.9
Utility6.1
Mechanics8.3
Opening Duels4.1
Win Impact5.6

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time585ms+4ms
first ⅓ avg 581ms → last ⅓ avg 585ms
Headshot accuracy21.0%+1.5%
first ⅓ avg 19.5% → last ⅓ avg 21.0%

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

0.15Best match rating · 13–5 · inferno, 2 Dec →
43%Best headshot accuracy · 10–13 · overpass, 26 Jan →
359msFastest reaction time · 13–2 · inferno, 8 May →
13–1Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 74% over 27ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeS2820–871%0.04
infernoS2720–774%0.05
ancientD165–1131%0.01
overpassC135–838%0.04
mirageB84–450%0.04
anubisC73–443%0.00
dust2—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,110Matches
52%Win rate
1.45Avg K/D
93.3ADR
36%Headshot %

Clutches & streaks

43%1v1 clutch win
31%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1182%1.5120.4
Ancient729%1.4717.7
Nuke650%1.4618.2
Anubis633%1.5823.8
Mirage333%1.2314.7
Train10%1.0016.0
Overpass10%0.9313.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.8%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.4%Spray accuracy
87.3%Counter-strafing
7.8°Preaim
593msReaction time
40.2%T opening success
52.7%CT opening success
0.73Enemies flashed / flash
9.0%Flash assists
12.28HE damage / grenade
8.79Flashes / match

Recommended for you

Spend your practice time on Ancient

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 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0523%4 Sept →
anubis11–130.0421%4 Sept →
mirage13–20.0510%31 Aug →
overpass13–110.0217%23 Apr →
inferno13–30.0928%23 Apr →
overpass6–130.0321%23 Apr →
nuke16–130.0410%15 Apr →
ancient8–130.0113%15 Apr →
nuke4–130.0216%15 Apr →
ancient9–130.0318%13 Apr →
inferno15–150.0419%13 Apr →
nuke13–11-0.0432%6 Apr →
nuke5–130.1128%6 Apr →
overpass13–80.0314%6 Apr →
nuke13–90.0527%24 Mar →
inferno8–130.0316%23 Mar →
nuke13–40.1425%23 Mar →
anubis3–130.0429%23 Mar →
mirage13–160.0117%23 Mar →
inferno13–100.0717%7 Mar →
inferno13–80.0528%7 Mar →
inferno16–140.0221%5 Mar →
nuke13–70.0220%5 Mar →
nuke7–130.0515%5 Mar →
inferno13–50.0741%18 Feb →
ancient7–13-0.048%18 Feb →
overpass14–160.0026%17 Feb →
anubis13–6-0.0335%17 Feb →
ancient7–13-0.0014%17 Feb →
inferno13–20.1125%17 Feb →
nuke2–13-0.0923%17 Feb →
ancient10–13-0.0121%15 Feb →
mirage14–160.0416%15 Feb →
nuke13–90.0325%15 Feb →
inferno13–100.0233%5 Feb →
overpass3–13-0.0226%5 Feb →
overpass13–80.1213%5 Feb →
overpass16–140.0217%2 Feb →
nuke13–100.0433%2 Feb →
overpass10–130.0943%26 Jan →
ancient6–130.048%11 Dec →
nuke13–90.0111%27 Nov →
ancient5–13-0.1018%27 Nov →
inferno13–70.0629%18 Nov →
nuke13–50.0824%18 Nov →
nuke13–60.0717%27 Oct →
inferno13–40.1020%27 Oct →
overpass13–60.1427%16 Oct →
overpass13–16-0.0123%16 Oct →
ancient13–5-0.0017%16 Oct →
mirage11–13-0.0117%15 Oct →
ancient9–13-0.0323%15 Oct →
inferno13–30.1029%15 Oct →
inferno13–10.1125%14 Oct →
dust213–80.0329%9 Oct →
inferno13–40.0424%9 Oct →
inferno13–70.1119%8 Oct →
nuke13–110.1021%8 Oct →
inferno10–13-0.0414%29 Sept →
nuke14–160.0424%15 Sept →
overpass6–13-0.0218%12 Sept →
ancient13–80.0416%12 Sept →
nuke13–80.1135%9 Sept →
overpass11–13-0.0121%9 Sept →
inferno13–80.0624%25 Feb →
nuke16–130.0325%20 Feb →
inferno13–7-0.0013%20 Feb →
ancient13–90.0516%20 Feb →
nuke13–80.1232%9 Feb →
nuke13–80.0923%8 Feb →
inferno1–13-0.0311%8 Feb →
inferno6–13-0.0512%8 Feb →
anubis3–13-0.0411%8 Feb →
ancient8–130.0618%7 Feb →
inferno9–130.0418%7 Feb →
anubis13–5-0.0127%7 Feb →
nuke13–9-0.0135%7 Feb →
ancient16–140.0321%7 Feb →
inferno8–130.009%7 Feb →
nuke1–13-0.0223%7 Feb →
mirage16–140.0915%16 Jan →
inferno13–10-0.0221%16 Jan →
anubis13–90.0116%15 Jan →
nuke13–30.1018%15 Jan →
ancient11–130.0217%15 Jan →
ancient15–15-0.0017%11 Dec →
anubis11–130.0125%11 Dec →
inferno13–50.1521%2 Dec →
inferno13–80.0925%17 Oct →
mirage1–13-0.0613%1 Oct →
mirage13–80.1215%1 Oct →
inferno13–110.0020%30 Sept →
nuke13–40.0828%30 Sept →
mirage13–50.0717%27 Sept →
ancient13–90.0416%23 Sept →
nuke13–80.0016%8 May →
inferno13–20.0513%8 May →
nuke13–40.1117%9 Apr →
nuke9–130.0026%2 Apr →
overpass6–130.0630%21 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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