epä veksi

epä veksi — CS2 Stats

FI76561198880246702[U:1:919980974]Steam profile ↗✓ No bans

413Tracked matches59%Win rate2022Tracked since
2,057Hours in CS16Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating10,117Blue band · top ~54.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 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: 10,117 +5,234 7 Aug – 28 Oct · 18 days played
4,87610,117peak 10,1177 Aug28 Oct
10,117Peak Premier in tracked matches
35Days played since 2026-06-01

Premier CS Rating

  • At peak — 10,117
  • +3,561 over 30 days · improving
  • +5,234 over 90 days
  • Next: Purple band at 15,000 — 4,883 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 rate31.4%42.0%44.4%12.9% short
Shot accuracy16.8%9.6%11.9%above
Kill/death ratio0.770.981.030.26 short
Match win rate32.3%43.8%45.2%13.0% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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

CSDB.GGepä veksiPREMIER10,117 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning41
Utility20

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateLWWWWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −0.1pp headshot accuracy · +22ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 687ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 735ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 724ms

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 (+2.5 against its own average).

Aim4.7
Utility2.0
Positioning4.1
Opening Duels0.3
Clutch0.0

Strong CT-side openerLimited 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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 700ms 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

Aim4.7
Positioning4.1
Utility2.0
Mechanics6.6
Opening Duels1.5
Win Impact7.9

Composite 4.2/10 (Developing), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time693ms−16ms
first ⅓ avg 708ms → last ⅓ avg 693ms
Headshot accuracy12.0%+0.0%
first ⅓ avg 11.9% → last ⅓ avg 12.0%

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

0.12Best match rating · 13–1 · nuke, 6 Oct →
33%Best headshot accuracy · 0–13 · nuke, 1 Jun →
453msFastest reaction time · 13–2 · mirage, 6 Oct →
13–1Biggest win · nuke, 6 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 62% over 13mirageWeakest map · 44% over 27
MapGradePlayedRecordWin rateAvg rating
mirageC2712–1544%-0.03
nukeB2311–1248%-0.01
dust2B157–847%-0.03
cacheA138–562%-0.03
infernoC94–544%-0.04
ancientA53–260%-0.03
anubis—43–175%-0.03
vertigo—11–0100%-0.04
fachwerk—11–0100%-0.05
office—10–10%-0.12
stronghold—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,762Lifetime kills
0.77K/D
2,226Matches
32.3%Match win rate
31.4%Headshot %
16.8%Shot accuracy · Top 25% of Blue band
3,858MVPs
799Hours (in match)
1,427Bombs planted
548Bombs defused

Most-used weapons

Lifetime map wins

2,845nuke
2,142inferno
1,082dust2
1,059vertigo
590lake
487office
365train
143cbble

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

Faceit stats

Combat

57Matches
53%Win rate
0.80Avg K/D
59.8ADR
22%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage875%0.8013.9
Anubis20%0.578.0
Inferno250%0.477.0
Vertigo1100%0.285.0
Nuke1100%1.0012.0
Cache10%0.6515.0

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.

11.7%Headshot accuracy
36.2%Accuracy (enemy spotted)
34.2%Spray accuracy
79.5%Counter-strafing
10.9°Preaim
700msReaction time
32.5%T opening success
39.4%CT opening success
0.22Enemies flashed / flash
0.0%Flash assists
15.52HE damage / grenade
0.88Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.6629% — below the 15% mark we flag

    Aim Training →
  2. 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 700.2586ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.2211 — below the 0.5 mark we flag

    Grenade Lineups →
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.

44% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0711%5 Nov →
vertigo13–11-0.0411%1 Nov →
mirage13–20.0011%28 Oct →
nuke13–110.028%28 Oct →
mirage13–5-0.0116%28 Oct →
dust27–13-0.0611%27 Oct →
dust213–9-0.0211%27 Oct →
cache13–20.0212%27 Oct →
cache13–4-0.0521%26 Oct →
cache10–13-0.025%26 Oct →
cache13–2-0.0411%25 Oct →
cache7–13-0.0612%25 Oct →
ancient13–8-0.080%25 Oct →
nuke8–130.0013%25 Oct →
nuke4–13-0.0919%24 Oct →
ancient3–13-0.059%24 Oct →
mirage13–7-0.0223%24 Oct →
dust213–9-0.0111%22 Oct →
nuke13–2-0.0522%21 Oct →
mirage3–13-0.090%21 Oct →
dust27–13-0.0213%21 Oct →
anubis13–7-0.007%21 Oct →
mirage10–13-0.086%21 Oct →
inferno12–16-0.0116%19 Oct →
nuke13–6-0.0311%19 Oct →
mirage12–12-0.0324%19 Oct →
nuke16–12-0.036%19 Oct →
cache13–7-0.0412%19 Oct →
cache13–2-0.027%19 Oct →
mirage0–2-0.1820%19 Oct →
dust213–40.117%19 Oct →
dust27–11-0.038%18 Oct →
mirage13–60.0420%18 Oct →
nuke7–130.0413%18 Oct →
mirage13–110.018%18 Oct →
nuke10–13-0.0617%18 Oct →
fachwerk2–2-0.050%18 Oct →
inferno4–13-0.0716%18 Oct →
mirage11–13-0.0115%10 Oct →
dust213–10-0.049%7 Oct →
nuke13–80.0319%7 Oct →
dust213–90.023%7 Oct →
mirage13–90.0312%7 Oct →
cache13–4-0.0110%7 Oct →
office2–13-0.120%7 Oct →
mirage13–2-0.037%6 Oct →
nuke13–10.125%6 Oct →
ancient11–13-0.0417%6 Oct →
nuke13–20.028%6 Oct →
dust213–2-0.079%6 Oct →
nuke4–13-0.053%6 Oct →
dust210–13-0.068%4 Oct →
nuke13–100.0214%9 Sept →
ancient13–8-0.003%9 Sept →
mirage6–13-0.005%9 Sept →
anubis13–8-0.0117%9 Sept →
inferno13–9-0.0315%9 Sept →
mirage11–13-0.049%19 Aug →
mirage13–100.0512%19 Aug →
inferno13–8-0.018%19 Aug →
mirage1–13-0.074%19 Aug →
dust213–70.018%18 Aug →
dust25–13-0.0716%9 Aug →
mirage13–4-0.043%9 Aug →
nuke2–13-0.066%7 Aug →
nuke15–15-0.0114%7 Aug →
ancient13–30.0312%31 Jul →
anubis8–13-0.0715%31 Jul →
mirage7–13-0.0615%30 Jul →
mirage13–9-0.0413%29 Jul →
nuke5–130.0213%29 Jul →
nuke7–13-0.060%29 Jul →
mirage5–13-0.1228%28 Jul →
nuke8–00.0110%28 Jul →
dust28–13-0.0617%28 Jul →
mirage6–13-0.110%28 Jul →
anubis13–4-0.0110%24 Jul →
dust23–13-0.0618%24 Jul →
dust210–13-0.0310%23 Jul →
mirage3–13-0.0812%23 Jul →
nuke13–60.023%20 Jul →
mirage13–80.0113%23 Jun →
inferno13–8-0.0314%23 Jun →
nuke2–13-0.0612%23 Jun →
inferno2–13-0.050%22 Jun →
mirage1–13-0.0614%22 Jun →
cache11–13-0.0613%19 Jun →
cache3–13-0.0324%19 Jun →
mirage13–3-0.050%11 Jun →
cache13–60.0413%11 Jun →
nuke13–5-0.063%11 Jun →
cache13–11-0.0619%11 Jun →
nuke9–13-0.0212%10 Jun →
inferno10–13-0.0612%3 Jun →
mirage9–130.0110%3 Jun →
stronghold11–13-0.055%2 Jun →
inferno13–3-0.008%2 Jun →
mirage12–120.0312%2 Jun →
cache9–13-0.0415%2 Jun →
nuke0–13-0.0733%1 Jun →

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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