Eple

Eple — CS2 Stats

NO76561197980030145[U:1:19764417]Steam profile ↗✓ No bans

608Tracked matches24%Win rate2020Tracked since
4,131Hours in CS14Hrs last 2 wks
CSDB Rating2.8 LearningPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 608
−15.2ppWin rate · 39.3% → 24.1%
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. 34 days played since 31 Mar 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: 8,875 +418 31 Mar19 Jun · 14 days played
7,7979,999peak 9,99931 Mar19 Jun
9,999Peak Premier in tracked matches
34Days played since 2026-03-31

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 Level 5 among CSDB-tracked players (n=13,045), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate41.5%43.8%44.8%3.3% short
Shot accuracy15.6%12.0%12.5%above
Kill/death ratio0.951.021.030.09 short
Match win rate45.3%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEpleFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim22
Positioning46
Utility38

0–100 skill scores via Leetify.

Recent form

COLD38548Last 10038%Win rateLLLLLLLWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −1.0pp headshot accuracy · −89ms reaction

Win rate down 20pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 05 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 686ms

Last 10

  • 19 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 672ms

Last 20

  • 416 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 716ms

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 (+1.2 against its own average).

Aim2.2
Utility3.8
Positioning4.6
Opening Duels1.9

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

jL

Plays most like jL 61% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 732ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.2
Positioning4.6
Utility3.8
Mechanics2.8
Opening Duels2.7
Win Impact0.0

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time729ms−40ms
first ⅓ avg 770ms → last ⅓ avg 729ms
Headshot accuracy18.1%+0.1%
first ⅓ avg 17.9% → last ⅓ avg 18.1%

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 · 13–1 · dust2, 26 May
50%Best headshot accuracy · 1–5 · nuke, 17 Apr
500msFastest reaction time · 3–13 · anubis, 15 Apr
13–0Biggest win · inferno, 13 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L7Current streak
33In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 55% over 20ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
anubisC2281436%-0.02
dust2A2011955%-0.01
nukeD1441029%-0.03
mirageD134931%-0.04
infernoB136746%0.00
cacheC83538%-0.03
ancientD61517%-0.03
train110100%0.02
vertigo1010%-0.09
overpass1010%-0.05
italy1010%-0.09

Across the last 100 tracked matches.

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

Lifetime stats

69,059Lifetime kills
0.95K/D
3,385Matches
45.3%Match win rate · Top 50% of Level 5 players
41.5%Headshot %
15.6%Shot accuracy · Top 25% of Level 5 players
7,924MVPs
1,717Hours (in match)
5,116Bombs planted
960Bombs defused

Most-used weapons

AK-4725,339
AWP3,844
AUG2,420
MP91,881
FAMAS1,663
P2501,613

Lifetime map wins

8,349inferno
5,453dust2
3,224nuke
1,244train
1,075vertigo
489cbble
188office
18italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

168Matches
53%Win rate
1.15Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno367%0.9610.3
Anubis30%0.7112.0
Nuke367%0.7310.7
Ancient250%0.469.5
Dust22100%1.1014.0
Vertigo1100%0.7613.0
Overpass10%0.569.0
Mirage10%0.569.0

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.

17.2%Headshot accuracy
23.7%Accuracy (enemy spotted)
25.3%Spray accuracy
62.6%Counter-strafing
8.5°Preaim
732msReaction time
43.8%T opening success
37.8%CT opening success
0.43Enemies flashed / flash
6.4%Flash assists
10.84HE damage / grenade
2.73Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 731.6435ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.4271 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.8323% — below the 40% mark we flag

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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0333%15 Sept
mirage10–13-0.0125%15 Sept
dust213–16-0.0118%14 Sept
inferno4–13-0.0219%13 Sept
anubis8–13-0.062%13 Sept
dust28–13-0.0222%13 Sept
nuke5–13-0.079%13 Sept
inferno13–00.0717%13 Sept
dust22–13-0.0715%12 Sept
anubis2–13-0.0720%12 Sept
cache3–13-0.0631%12 Sept
anubis3–13-0.0114%12 Sept
mirage10–130.0019%12 Sept
train13–70.0220%12 Sept
dust213–6-0.0413%2 Sept
anubis8–13-0.0617%2 Sept
dust216–14-0.034%2 Sept
anubis8–13-0.1119%2 Sept
nuke10–13-0.0018%2 Sept
cache0–13-0.0436%30 Aug
nuke10–13-0.0315%30 Aug
mirage13–8-0.0523%30 Aug
dust21–13-0.0421%30 Aug
dust213–10-0.0917%15 Aug
ancient12–120.0215%14 Aug
ancient1–13-0.0815%14 Aug
nuke13–8-0.0312%14 Aug
anubis9–130.0511%12 Aug
dust210–130.0519%12 Aug
inferno5–9-0.0516%12 Aug
inferno5–130.0421%12 Aug
mirage8–13-0.0816%8 Aug
anubis8–13-0.0124%8 Aug
dust24–13-0.0623%8 Aug
anubis12–12-0.0320%1 Aug
anubis4–0-0.0822%1 Aug
anubis13–10-0.0611%31 Jul
mirage13–9-0.0219%31 Jul
ancient16–13-0.0115%31 Jul
dust213–60.0117%31 Jul
dust29–130.0014%29 Jul
anubis6–13-0.0221%9 Jul
cache10–130.0014%9 Jul
mirage3–13-0.0212%9 Jul
dust213–10-0.087%9 Jul
inferno13–90.0221%3 Jul
cache12–12-0.0021%20 Jun
dust28–130.0313%19 Jun
nuke5–13-0.0016%19 Jun
mirage11–13-0.0610%19 Jun
anubis14–16-0.0016%15 Jun
nuke13–9-0.0324%13 Jun
inferno13–80.0516%13 Jun
mirage8–13-0.049%13 Jun
mirage13–7-0.069%13 Jun
anubis13–00.0914%13 Jun
nuke1–13-0.058%13 Jun
anubis13–50.0616%13 Jun
nuke5–13-0.115%13 Jun
anubis2–13-0.067%13 Jun
dust213–70.0313%13 Jun
cache13–80.0214%13 Jun
inferno8–80.0522%13 Jun
inferno4–9-0.0718%13 Jun
dust213–10.1817%26 May
anubis4–13-0.0730%25 May
nuke14–16-0.0430%25 May
inferno4–13-0.0414%18 May
cache13–6-0.0913%18 May
nuke13–8-0.0111%18 May
dust212–16-0.0412%18 May
ancient15–15-0.0117%13 May
inferno13–8-0.0413%9 May
cache10–13-0.0520%9 May
vertigo8–8-0.0919%8 May
dust213–9-0.0224%29 Apr
cache13–50.0023%29 Apr
mirage13–4-0.0713%25 Apr
inferno13–50.0216%25 Apr
nuke13–60.0319%25 Apr
overpass7–13-0.0513%25 Apr
anubis7–3-0.0115%25 Apr
nuke1–5-0.0350%17 Apr
mirage4–13-0.0912%17 Apr
anubis12–12-0.0715%17 Apr
dust213–110.018%16 Apr
anubis13–11-0.0416%15 Apr
italy4–13-0.0917%15 Apr
anubis3–13-0.0319%15 Apr
inferno9–60.1433%15 Apr
inferno4–13-0.1115%11 Apr
dust213–7-0.0510%11 Apr
anubis13–40.0438%11 Apr
ancient12–16-0.0411%10 Apr
mirage9–130.0112%10 Apr
dust27–00.1127%10 Apr
anubis13–70.0411%10 Apr
ancient15–15-0.0416%1 Apr
mirage10–13-0.0623%1 Apr
nuke9–13-0.0416%31 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 →