EkP.™

EkP.™ — CS2 Stats

SI76561199098739668[U:1:1138473940]Steam profile ↗✓ No bans

854Tracked matches63%Win rate2024Tracked since
1,210Hours in CS33Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating12,629Blue band · top ~41% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 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.

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. 31 days played since 22 Jul 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: 12,629 -2,254 31 Jul16 Sept · 9 days played
12,41414,883peak 14,88331 Jul16 Sept
15,000Peak Premier in tracked matches
31Days played since 2026-07-22

Premier CS Rating

  • 2,254 below peak (14,883)
  • -106 over 30 days · steady
  • Next: Purple band at 15,000 2,371 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=19,543), 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 rate61.1%41.9%44.3%above
Shot accuracy0.4%9.6%11.8%11.4% short
Kill/death ratio0.800.981.030.23 short
Match win rate39.4%43.8%45.2%5.9% short

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

Widest gap: Shot accuracy. 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.GGEkP.™PREMIER12,629 · Blue bandcsdb.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

Aim85
Positioning70
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY483913Last 10048%Win rateLWTWLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.1pp headshot accuracy · +17ms 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

  • 221 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 486ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 516ms

Last 20

  • 1154 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 507ms

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 (+2.8 against its own average).

Aim8.5
Utility4.9
Positioning7.0
Opening Duels4.8
Clutch0.0

Sharp aimer

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 91% playstyle similarity

Most alike: opening-duel success, positioning 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

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

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

Aim8.5
Positioning7.0
Utility4.9
Mechanics6.7
Opening Duels6.4
Win Impact9.2

Composite 6.9/10 (Solid), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time523ms−10ms
first ⅓ avg 533ms → last ⅓ avg 523ms
Headshot accuracy18.5%−3.2%
first ⅓ avg 21.7% → last ⅓ avg 18.5%

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

0.22Best match rating · 9–1 · inferno, 28 Jul
41%Best headshot accuracy · 9–2 · vertigo, 30 Jul
375msFastest reaction time · 13–3 · anubis, 15 Sept
13–0Biggest win · inferno, 7 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
110In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 67% over 12ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C28111739%0.02
mirageC135838%-0.01
infernoS128467%0.04
nukeA106460%0.01
ancientD103730%-0.01
vertigoB84450%0.04
cacheC73443%0.03
anubisA74357%0.03
overpass32167%0.04
train220100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,438Lifetime kills
0.80K/D
2,093Matches
39.4%Match win rate
61.1%Headshot % · Top 5% of Blue band
0.4%Shot accuracy
4,335MVPs
637Hours (in match)
749Bombs planted
377Bombs defused

Most-used weapons

Lifetime map wins

4,004dust2
2,239nuke
1,823inferno
754vertigo
91train
86office
2italy
2cbble

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

Faceit stats

Combat

17Matches
53%Win rate
1.23Avg K/D
88.5ADR
56%Headshot %

Clutches & streaks

15%1v1 clutch win
43%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2540%1.4322.6
Mirage475%1.1916.8
Nuke333%1.2521.7
Inferno250%0.7111.5
Ancient250%1.1414.0
Train1100%1.6016.0

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.

18.3%Headshot accuracy
37.6%Accuracy (enemy spotted)
42.4%Spray accuracy
80.2%Counter-strafing
8.7°Preaim
520msReaction time
58.5%T opening success
52.5%CT opening success
0.51Enemies flashed / flash
5.6%Flash assists
6.74HE damage / grenade
9.59Flashes / 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–130.0228%18 Sept
nuke13–10.0721%17 Sept
mirage12–12-0.0213%17 Sept
nuke13–50.0424%17 Sept
dust212–160.0111%17 Sept
dust213–80.1218%17 Sept
dust213–50.039%17 Sept
mirage13–90.0426%16 Sept
cache5–13-0.0220%16 Sept
ancient13–10-0.0412%16 Sept
mirage13–60.028%16 Sept
mirage4–13-0.0415%16 Sept
inferno13–70.2027%16 Sept
dust213–60.0319%15 Sept
nuke12–120.0422%15 Sept
nuke13–4-0.0720%15 Sept
mirage4–13-0.0711%15 Sept
dust212–12-0.0316%15 Sept
inferno12–120.0725%15 Sept
anubis13–3-0.0015%15 Sept
dust29–00.0811%15 Sept
dust28–130.1023%15 Sept
dust212–120.0819%14 Sept
dust23–100.0423%14 Sept
ancient5–12-0.0111%14 Sept
anubis13–60.1219%12 Sept
dust211–13-0.0320%7 Sept
inferno13–00.0822%7 Sept
vertigo13–80.0116%7 Sept
vertigo12–12-0.0220%7 Sept
cache4–130.0217%6 Sept
cache10–13-0.0031%6 Sept
vertigo13–30.0616%6 Sept
overpass11–130.0716%6 Sept
ancient3–13-0.0311%6 Sept
nuke13–30.0626%6 Sept
cache13–40.1324%6 Sept
ancient13–70.0122%6 Sept
ancient9–13-0.0012%6 Sept
ancient12–120.1114%5 Sept
cache13–100.0929%5 Sept
ancient8–13-0.0416%4 Sept
dust215–150.0326%26 Aug
inferno13–2-0.039%26 Aug
mirage13–70.0422%26 Aug
dust27–13-0.0520%25 Aug
train13–90.0319%22 Aug
mirage5–13-0.0238%22 Aug
anubis13–20.0733%22 Aug
dust29–130.0028%21 Aug
inferno13–10.1023%21 Aug
train13–40.0933%21 Aug
dust213–9-0.0518%21 Aug
dust213–90.0137%21 Aug
dust211–130.0834%21 Aug
dust211–130.0418%20 Aug
cache2–13-0.1023%20 Aug
dust214–16-0.0326%20 Aug
dust213–3-0.0012%20 Aug
nuke13–60.0614%20 Aug
mirage13–30.0318%20 Aug
dust28–13-0.0716%19 Aug
mirage7–13-0.0324%19 Aug
mirage5–130.0130%19 Aug
anubis10–130.0222%19 Aug
dust213–4-0.0017%19 Aug
dust21–90.0114%19 Aug
dust211–130.0317%18 Aug
inferno11–13-0.0331%18 Aug
dust213–90.0729%18 Aug
mirage6–1-0.047%18 Aug
vertigo13–60.1422%18 Aug
vertigo8–13-0.0314%15 Aug
ancient11–13-0.0232%14 Aug
inferno13–8-0.0321%14 Aug
vertigo12–12-0.0116%12 Aug
vertigo11–130.1013%11 Aug
mirage12–120.0611%11 Aug
dust213–8-0.0022%6 Aug
inferno9–13-0.0811%6 Aug
ancient13–9-0.0213%6 Aug
overpass13–70.0517%5 Aug
dust213–30.0712%5 Aug
cache4–20.0940%5 Aug
nuke13–70.0519%5 Aug
inferno13–60.0826%4 Aug
anubis14–160.0120%31 Jul
mirage4–13-0.0621%31 Jul
nuke6–9-0.0725%30 Jul
inferno9–5-0.0432%30 Jul
vertigo9–20.0541%30 Jul
inferno9–10.2227%28 Jul
nuke6–9-0.0226%28 Jul
inferno9–13-0.0325%28 Jul
ancient9–13-0.0429%27 Jul
overpass13–5-0.0220%27 Jul
dust212–12-0.0423%27 Jul
anubis12–12-0.0723%26 Jul
nuke12–12-0.076%23 Jul
anubis13–40.0627%22 Jul

Match data via Leetify.

Milestones

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