DonEpst

DonEpst — CS2 Stats

76561199367122624[U:1:1406856896]Steam profile ↗✓ No bans

1,868Tracked matches63%Win rate2023Tracked since
CSDB Rating3.8 LearningSupport
FaceitLevel 6 · 1,219 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 70 days played since 23 Feb 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 10,636 +975 18 Apr21 Aug · 10 days played
9,66110,961peak 10,96118 Apr21 Aug
10,961Peak Premier in tracked matches
1,219Highest Faceit ELO seen on CSDB
70Days played since 2024-02-23

Faceit ELO

  • At peak — 1,219
  • Next: Level 7 at 1,351 132 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGDonEpstFACEITLevel 6 · 1,219 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,219csdb.gg/stats

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Performance scores

Aim37
Positioning39
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50437Last 10050%Win rateTLLWWLWLTW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.8pp headshot accuracy · −10ms reaction

Win rate 0pp 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

  • 221 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 691ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 674ms

Last 20

  • 893 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 679ms

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: SupportUtility contribution stands above the rest of this profile (+0.9 against its own average).

Aim3.7
Utility4.5
Positioning3.9
Opening Duels1.9
Clutch4.2

Strong T-side opener

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 75% 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. 681ms 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

Aim3.7
Positioning3.9
Utility4.5
Mechanics4.7
Opening Duels0.2
Win Impact9.3

Composite 3.8/10 (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 rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time679ms+70ms
first ⅓ avg 609ms → last ⅓ avg 679ms
Headshot accuracy17.5%+2.4%
first ⅓ avg 15.1% → last ⅓ avg 17.5%

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

0.09Best match rating · 13–6 · mirage, 22 Mar
38%Best headshot accuracy · 4–13 · dust2, 2 May
445msFastest reaction time · 8–13 · mirage, 19 Jan
13–2Biggest win · anubis, 11 Feb

Across the last 100 tracked matches.

Highlights

7Longest win streak
57In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB20101050%-0.04
ancientA1810856%-0.02
infernoC146843%-0.01
anubisB136746%-0.03
vertigoB126650%-0.01
dust2A95456%-0.04
nukeC52340%-0.03
overpassA53260%-0.01
train220100%-0.01
cache1010%-0.05
assembly1010%-0.29

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,993Matches
51%Win rate
0.82Avg K/D
71.4ADR
44%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
17Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage47752%0.8613.4
Ancient40359%0.9314.1
Anubis25046%0.8213.6
Inferno19451%0.8413.3
Dust213347%0.7512.8
Vertigo13253%0.8614.1
Nuke4848%0.8212.7
Train3043%0.7712.9

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.

17.7%Headshot accuracy
31.6%Accuracy (enemy spotted)
31.0%Spray accuracy
71.0%Counter-strafing
12.0°Preaim
681msReaction time
31.6%T opening success
27.0%CT opening success
0.49Enemies flashed / flash
9.3%Flash assists
4.58HE damage / grenade
15.06Flashes / 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 0.4885 — 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 31.5611% — below the 40% mark we flag

Spend your practice time on Nuke

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0516%16 Jul
nuke9–13-0.0115%21 Apr
overpass11–13-0.0713%23 Feb
dust216–13-0.0713%19 Feb
inferno13–90.0216%17 Feb
inferno6–13-0.0614%16 Feb
ancient13–11-0.0421%16 Feb
dust29–13-0.0419%16 Feb
inferno12–12-0.0418%11 Feb
anubis13–20.0214%11 Feb
nuke13–4-0.0621%11 Feb
inferno5–9-0.0314%28 Jan
inferno10–13-0.0210%28 Jan
dust212–12-0.0236%20 Jan
train13–9-0.0219%28 Dec
inferno11–13-0.0411%26 Dec
nuke10–13-0.0521%24 Dec
vertigo13–80.0324%27 Nov
overpass13–8-0.0021%5 Nov
mirage10–13-0.0732%28 Oct
train13–90.0019%10 Oct
inferno13–10-0.0018%13 Sept
ancient13–20.0811%13 Sept
overpass13–4-0.0216%7 Sept
ancient13–100.029%3 Sept
inferno13–90.0419%3 Sept
dust213–70.0324%15 Jul
inferno11–130.0812%1 Jul
ancient13–60.0319%1 Jun
dust213–70.0018%2 May
mirage11–13-0.0010%26 Apr
inferno13–9-0.0321%8 Apr
mirage13–10-0.0510%23 Mar
inferno6–13-0.0716%28 Feb
mirage8–13-0.069%19 Jan
mirage13–2-0.0019%8 Dec
vertigo13–5-0.0318%7 Dec
vertigo13–9-0.0112%7 Dec
anubis11–13-0.0220%24 Nov
ancient13–70.0022%20 Oct
anubis0–13-0.077%31 Aug
anubis11–0-0.015%24 Aug
ancient10–13-0.0724%21 Aug
vertigo8–13-0.0612%20 Aug
vertigo9–50.0714%10 Aug
ancient13–80.0410%9 Jul
ancient8–13-0.1111%9 Jul
nuke8–13-0.0925%8 Jul
ancient13–16-0.0733%8 Jul
dust213–11-0.0624%30 Jun
anubis11–130.0117%28 Jun
assembly1–9-0.298%27 Jun
anubis13–6-0.0218%21 Jun
dust26–13-0.097%12 Jun
mirage13–7-0.0430%11 Jun
vertigo8–80.0123%10 Jun
ancient6–13-0.0418%16 May
anubis15–15-0.119%16 May
inferno5–9-0.0711%15 May
ancient9–13-0.0114%3 May
dust24–13-0.1238%2 May
ancient8–13-0.0213%1 May
dust213–11-0.0214%26 Apr
vertigo13–90.0516%19 Apr
nuke13–60.0529%18 Apr
mirage13–9-0.0317%18 Apr
ancient8–13-0.0528%17 Apr
mirage9–13-0.0721%16 Apr
mirage13–11-0.0217%16 Apr
vertigo12–12-0.0419%9 Apr
inferno9–60.0114%9 Apr
vertigo7–9-0.0318%8 Apr
ancient13–80.0921%3 Apr
mirage7–13-0.0212%25 Mar
vertigo12–12-0.069%25 Mar
mirage13–60.0913%22 Mar
anubis5–13-0.1114%21 Mar
vertigo13–7-0.0520%19 Mar
mirage13–11-0.124%15 Mar
mirage16–19-0.0411%10 Mar
inferno13–90.0622%10 Mar
ancient13–10-0.0712%10 Mar
anubis10–13-0.0519%10 Mar
ancient10–130.0025%10 Mar
mirage13–50.008%9 Mar
overpass8–130.0320%9 Mar
overpass13–30.038%9 Mar
mirage10–13-0.0117%9 Mar
anubis13–40.047%9 Mar
anubis9–13-0.0316%3 Mar
mirage2–13-0.113%2 Mar
ancient13–10-0.063%2 Mar
mirage0–13-0.1221%25 Feb
anubis13–2-0.0412%25 Feb
vertigo7–13-0.0213%25 Feb
ancient13–6-0.0617%25 Feb
mirage13–10-0.0610%25 Feb
mirage10–130.0132%23 Feb
anubis13–60.0424%23 Feb
mirage13–5-0.0218%23 Feb

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 →