efe

efe — CS2 Stats

AR76561199034692604[U:1:1074426876]Steam profile ↗✓ No bans

3,525Tracked matches27%Win rate2021Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating13,379Blue band · top ~37% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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: 13,379 +813 19 Jul – 11 Nov · 31 days played
11,64514,999peak 14,99919 Jul11 Nov
15,000Peak Premier in tracked matches
45Days played since 2026-07-06

Premier CS Rating

  • 1,620 below peak (14,999)
  • +1,289 over 30 days · improving
  • -1,513 over 90 days
  • Next: Purple band at 15,000 — 1,621 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGefeFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,379 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning35
Utility56

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateLLLLWLLWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · +7ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 608ms

Last 20

  • 3–17 · 15% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 604ms

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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim6.3
Utility5.6
Positioning3.5
Opening Duels0.0
Clutch2.0

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

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 611ms 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

Aim6.3
Positioning3.5
Utility5.6
Mechanics5.4
Opening Duels0.0
Win Impact0.0

Composite 4.0/10 (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-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time609ms−24ms
first ⅓ avg 633ms → last ⅓ avg 609ms
Headshot accuracy18.7%−2.3%
first ⅓ avg 21.0% → last ⅓ avg 18.7%

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

0.11Best match rating · 13–2 · anubis, 11 Oct →
52%Best headshot accuracy · 13–2 · anubis, 11 Oct →
453msFastest reaction time · 13–7 · nuke, 16 Oct →
13–1Biggest win · cache, 8 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
11–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 81% over 16ancientWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%-0.02
anubisS1613–381%-0.00
infernoC146–843%-0.03
mirageD133–1023%-0.02
nukeC104–640%-0.01
ancientD101–910%-0.03
cacheD92–722%-0.01
vertigo—10–10%-0.09
train—11–0100%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

353Matches
48%Win rate
0.98Avg K/D
67.3ADR
49%Headshot %

Clutches & streaks

30%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10145%1.1213.0
Dust27952%0.8913.6
Anubis5163%0.9313.0
Inferno3749%1.0414.1
Nuke3361%1.0414.0
Ancient2317%0.7211.7
Vertigo2040%0.8813.7
Cache30%0.7412.3

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.

18.5%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.8%Spray accuracy
74.4%Counter-strafing
9.9°Preaim
611msReaction time
29.7%T opening success
29.8%CT opening success
0.56Enemies flashed / flash
4.6%Flash assists
4.58HE damage / grenade
16.62Flashes / 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 29.6729% — 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0225%11 Nov →
dust210–13-0.0023%11 Nov →
dust210–13-0.0818%9 Nov →
mirage5–13-0.0113%9 Nov →
dust213–8-0.0613%8 Nov →
nuke7–13-0.0118%8 Nov →
ancient10–13-0.0524%8 Nov →
cache13–10.0512%8 Nov →
inferno10–130.0317%6 Nov →
ancient9–13-0.0626%4 Nov →
ancient9–13-0.0415%2 Nov →
ancient14–16-0.0914%31 Oct →
mirage3–13-0.0514%31 Oct →
dust27–13-0.0419%26 Oct →
inferno13–10-0.0420%26 Oct →
dust210–13-0.0019%25 Oct →
mirage9–130.0316%25 Oct →
anubis14–16-0.0315%25 Oct →
cache3–13-0.0224%24 Oct →
dust24–13-0.0520%24 Oct →
anubis13–70.0110%22 Oct →
anubis6–13-0.0625%21 Oct →
vertigo11–13-0.0914%20 Oct →
nuke5–13-0.0127%20 Oct →
mirage9–13-0.0816%19 Oct →
ancient7–130.0017%19 Oct →
anubis16–14-0.0531%19 Oct →
anubis13–40.0419%17 Oct →
inferno13–10-0.0213%17 Oct →
anubis13–11-0.0615%17 Oct →
dust213–2-0.0524%17 Oct →
nuke13–7-0.0121%16 Oct →
anubis15–150.0019%12 Oct →
nuke1–13-0.0524%12 Oct →
ancient9–130.0535%12 Oct →
dust213–7-0.0528%12 Oct →
dust214–16-0.0227%12 Oct →
nuke8–130.0332%12 Oct →
mirage7–13-0.0216%12 Oct →
mirage13–5-0.0316%12 Oct →
inferno8–1-0.0640%12 Oct →
ancient8–13-0.0419%12 Oct →
cache9–13-0.0521%12 Oct →
anubis13–10-0.0016%12 Oct →
cache9–13-0.0819%12 Oct →
cache13–50.0516%12 Oct →
mirage11–13-0.0416%12 Oct →
dust24–13-0.0411%11 Oct →
mirage9–13-0.0217%11 Oct →
anubis13–20.0252%11 Oct →
nuke13–6-0.0021%11 Oct →
anubis13–20.1135%11 Oct →
anubis13–5-0.0315%11 Oct →
nuke13–5-0.0313%11 Oct →
inferno5–2-0.060%11 Oct →
mirage2–13-0.0117%7 Oct →
dust28–13-0.0317%4 Oct →
dust213–11-0.0318%3 Oct →
ancient8–13-0.0115%3 Oct →
cache9–13-0.0132%2 Oct →
inferno8–8-0.0523%27 Sept →
dust213–110.0228%22 Sept →
inferno6–13-0.1315%13 Sept →
dust27–13-0.0321%12 Sept →
mirage7–13-0.0518%12 Sept →
inferno7–13-0.0219%6 Sept →
dust29–13-0.0122%6 Sept →
anubis13–11-0.0213%6 Sept →
ancient3–13-0.0738%29 Aug →
anubis13–11-0.0016%29 Aug →
dust29–13-0.0619%19 Aug →
mirage13–20.0819%17 Aug →
nuke0–13-0.000%16 Aug →
mirage13–40.0230%14 Aug →
dust213–11-0.0125%13 Aug →
dust213–30.0826%13 Aug →
nuke13–80.0622%6 Aug →
dust216–14-0.0221%29 Jul →
anubis13–110.0421%29 Jul →
inferno9–13-0.0419%29 Jul →
ancient13–5-0.0213%26 Jul →
inferno13–9-0.0413%26 Jul →
dust213–9-0.0328%26 Jul →
dust22–13-0.089%25 Jul →
inferno9–13-0.0019%25 Jul →
nuke10–13-0.0421%25 Jul →
dust211–130.0231%25 Jul →
inferno8–13-0.046%24 Jul →
cache10–130.0724%24 Jul →
dust211–130.0317%24 Jul →
anubis13–100.0221%23 Jul →
inferno13–110.0421%20 Jul →
dust213–10-0.0123%19 Jul →
dust28–13-0.0131%16 Jul →
cache9–13-0.0812%10 Jul →
anubis16–140.0215%10 Jul →
inferno9–130.0334%9 Jul →
dust213–3-0.0338%9 Jul →
train13–9-0.0223%6 Jul →
cache7–13-0.0326%6 Jul →

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 →

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