Альберт Эпштейн

Альберт Эпштейн — CS2 Stats

TR76561198159360271[U:1:199094543]Steam profile ↗✓ No bans

769Tracked matches38%Win rate2025Tracked since
778Hours in CS
CSDB Rating4.6 DevelopingAggressive Rifler
Premier CS Rating9,887Light Blue band · top ~55.4% of ranked players (population est.)
CSDB Leaderboard#25438 of 34889 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate40.6%40.1%41.7%1.1% short
Shot accuracy7.6%7.6%8.8%1.2% short
Kill/death ratio0.800.920.970.17 short
Match win rate42.0%42.2%43.8%1.8% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGАльберт ЭпштейнPREMIER9,887 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning43
Utility39

0–100 skill scores via Leetify.

Recent form

COLD50482Last 10050%Win rateLLLLWWWLLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression6.8
Utility3.9
Positioning4.3
Opening Duels2.8
Clutch4.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 86% playstyle similarity

Most alike: opening-fight frequency, 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 600ms 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

Aim7.5
Positioning4.3
Utility3.9
Mechanics6.7
Opening Duels2.8
Win Impact1.0

Composite 4.6/10 (Developing), 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-0.01−0.04
first ⅓ avg 0.04 → last ⅓ avg -0.01
Reaction time616ms−21ms
first ⅓ avg 636ms → last ⅓ avg 616ms
Headshot accuracy16.6%+2.8%
first ⅓ avg 13.8% → last ⅓ avg 16.6%

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.

Highlights

0.15Best rating — nuke 13–6
131Biggest win — nuke
6Longest win streak
L4Current streak
87In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 86% over 7mirageWeakest map · 37% over 27
MapGradePlayedRecordWin rateAvg rating
mirageC27101737%0.00
dust2B24121250%0.02
ancientA149564%0.04
nukeA116555%0.04
anubisB115645%-0.01
cacheS76186%0.02
infernoC52340%-0.02
office1010%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,175Lifetime kills
0.80K/D
1,984Matches
42.0%Match win rate
40.6%Headshot % · Top 50% of Light Blue band
7.6%Shot accuracy · Top 50% of Light Blue band
3,963MVPs
778Hours (in match)
883Bombs planted
380Bombs defused

Most-used weapons

Lifetime map wins

2,859dust2
1,873inferno
1,453nuke
733train
269office
57italy
22vertigo
14assault

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

Faceit stats

Combat

62Matches
50%Win rate
1.07Avg K/D
87.5ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
15%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1856%1.0515.2
Anubis1346%1.0316.7
Mirage1233%0.7310.8
Nuke1070%1.3321.0
Dust2425%2.0217.5
Train250%1.0916.5
Inferno1100%0.9326.0

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.

16.2%Headshot accuracy
38.2%Accuracy (enemy spotted)
36.8%Spray accuracy
80.3%Counter-strafing
8.6°Preaim
600msReaction time
37.0%T opening success
45.2%CT opening success
0.55Enemies flashed / flash
2.2%Flash assists
7.88HE damage / grenade
6.38Flashes / 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. 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 37.0115% — below the 40% mark we flag

Spend your practice time on Mirage

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0219%27 Aug
mirage10–13-0.0312%27 Aug
mirage2–130.0218%26 Aug
mirage9–13-0.0212%26 Aug
dust213–4-0.025%26 Aug
cache13–9-0.0117%26 Aug
nuke13–10.1225%25 Aug
anubis4–13-0.0222%25 Aug
inferno9–13-0.0210%23 Aug
dust26–13-0.0514%23 Aug
anubis13–9-0.0315%18 Aug
dust213–40.0716%18 Aug
cache7–30.0717%14 Aug
mirage13–90.0715%8 Aug
ancient10–13-0.035%7 Aug
dust29–13-0.0315%5 Aug
nuke5–13-0.0414%5 Aug
nuke15–150.0318%4 Aug
anubis10–130.0030%4 Aug
dust26–13-0.0521%4 Aug
mirage7–130.0424%4 Aug
cache13–3-0.0519%4 Aug
mirage5–130.0017%4 Aug
inferno5–130.0024%3 Aug
nuke13–5-0.0320%3 Aug
anubis1–7-0.060%23 Jul
ancient13–11-0.0013%21 Jul
inferno10–7-0.0716%21 Jul
mirage3–13-0.0812%21 Jul
mirage7–13-0.0114%21 Jul
ancient8–130.0416%21 Jul
mirage11–130.0122%21 Jul
mirage11–130.0131%20 Jul
cache13–60.0112%20 Jul
cache13–3-0.0128%20 Jul
dust213–80.1018%20 Jul
nuke13–110.0415%20 Jul
dust212–16-0.0221%19 Jul
mirage4–13-0.0824%19 Jul
mirage15–15-0.0120%19 Jul
nuke3–13-0.0721%16 Jul
cache2–13-0.0422%16 Jul
dust211–13-0.0615%16 Jul
ancient11–13-0.0617%16 Jul
dust213–70.0626%16 Jul
nuke13–30.0115%14 Jul
dust213–110.0021%14 Jul
dust23–13-0.018%14 Jul
cache13–60.1322%14 Jul
mirage5–130.0217%25 May
mirage10–10.000%25 May
ancient13–80.058%25 May
ancient13–50.078%25 May
anubis13–110.0310%25 May
office3–100.0229%25 May
mirage13–110.0527%24 May
dust211–13-0.0212%24 May
anubis13–90.0415%24 May
ancient13–90.019%24 May
mirage13–80.0314%24 May
anubis7–130.0221%24 May
dust213–60.0513%24 May
anubis3–130.0118%23 May
mirage7–13-0.0410%23 May
nuke13–90.0418%23 May
ancient13–10.1121%23 May
mirage2–13-0.115%23 May
dust25–13-0.018%23 May
dust213–80.0813%23 May
mirage10–13-0.0515%23 May
dust21–13-0.0514%23 May
inferno13–110.0713%22 May
ancient13–80.1013%22 May
mirage13–50.0317%22 May
mirage13–8-0.0615%22 May
ancient13–80.0311%22 May
nuke14–160.0715%19 May
anubis3–13-0.1011%19 May
ancient13–90.0912%18 May
mirage13–70.0318%18 May
ancient13–30.116%18 May
inferno7–13-0.0611%18 May
ancient7–130.0114%17 May
nuke13–60.1516%17 May
anubis13–5-0.0113%17 May
dust29–130.0221%17 May
nuke7–130.076%16 May
ancient9–130.0513%16 May
dust213–90.0314%16 May
mirage13–60.1316%16 May
dust213–60.0820%16 May
dust213–60.0712%14 May
anubis13–80.0523%14 May
dust213–70.0716%14 May
mirage6–120.0214%14 May
dust211–130.1117%14 May
mirage13–110.0210%6 May
dust213–110.034%6 May
mirage13–100.0721%3 May
dust27–130.0015%3 May

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 →