Emelajsan<3

Emelajsan<3 — CS2 Stats

76561198391216005[U:1:430950277]Steam profile ↗✓ No bans

1,247Tracked matches53%Win rate2024Tracked since
1,022Hours in CS
CSDB Rating3.3 LearningClutch Specialist
FaceitLevel 4 · 909 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 909 → 909
+235Tracked matches · now 1,247
−6.7ppWin rate · 60.0% → 53.3%

Rating over time

Faceit ELO: 909 +0 30 Aug – 2 Sept · 2 observations
909909peak 90930 Aug2 Sept
909Highest Faceit ELO seen on CSDB
18Days played since 2026-08-30

Faceit ELO

  • At peak — 909
  • Next: Level 5 at 1,051 — 142 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-30
  • Level 3 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,617), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate40.0%42.7%43.8%3.8% short
Shot accuracy0.2%11.2%12.0%11.8% short
Kill/death ratio0.570.991.020.45 short
Match win rate48.2%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEmelajsan<3FACEITLevel 4 · 909 ELOSTANDINGTop 81.0% of rankedPEAK ELO909csdb.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

Aim44
Positioning32
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWWWWLLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · +71ms 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 -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 652ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 626ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 590ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.5 against its own average).

Aim4.4
Utility3.0
Positioning3.2
Opening Duels0.1
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 598ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning3.2
Utility3.0
Mechanics3.6
Opening Duels0.6
Win Impact6.1

Composite 3.3/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time603ms−54ms
first ⅓ avg 657ms → last ⅓ avg 603ms
Headshot accuracy15.3%+0.3%
first ⅓ avg 14.9% → last ⅓ avg 15.3%

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

0.04Best match rating · 8–13 · vertigo, 1 Oct →
46%Best headshot accuracy · 13–7 · vertigo, 8 Oct →
375msFastest reaction time · 13–10 · ancient, 23 Oct →
12–1Biggest win · vertigo, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

vertigoBest map · 63% over 19cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB5026–2452%-0.05
vertigoA1912–763%-0.05
ancientB105–550%-0.05
anubisA85–363%-0.03
cacheC52–340%-0.09
dust2—31–233%-0.06
inferno—21–150%-0.05
overpass—22–0100%-0.06
nuke—10–10%-0.06

Across the last 100 tracked matches.

Lifetime stats

30,863Lifetime kills
0.57K/D
2,724Matches
48.2%Match win rate · Top 25% of Level 4 players
40.0%Headshot %
0.2%Shot accuracy
3,945MVPs
1,022Hours (in match)
1,897Bombs planted
373Bombs defused

Most-used weapons

AK-477,195
Knife1,255
MAC-101,060
MP91,026
AWP453

Lifetime map wins

9,453vertigo
1,478dust2
888inferno
543nuke
289train
20lake
7aztec
6office

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

Faceit stats

Combat

15Matches
67%Win rate
0.76Avg K/D
64.5ADR
42%Headshot %

Clutches & streaks

67%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage729%0.5511.4
Ancient3100%1.2815.7
Dust22100%0.8010.5
Nuke1100%0.578.0
Inferno1100%0.408.0
Anubis1100%1.0715.0

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.

15.7%Headshot accuracy
29.6%Accuracy (enemy spotted)
34.7%Spray accuracy
66.2%Counter-strafing
10.0°Preaim
598msReaction time
32.3%T opening success
32.3%CT opening success
0.54Enemies flashed / flash
0.3%Flash assists
3.31HE damage / grenade
3.56Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5578 — below the 4 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 32.3438% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.039%25 Oct →
anubis13–110.0215%25 Oct →
vertigo13–9-0.0411%25 Oct →
mirage13–11-0.0511%25 Oct →
vertigo13–10-0.1213%24 Oct →
mirage14–16-0.0816%24 Oct →
mirage5–13-0.0614%24 Oct →
mirage11–13-0.069%24 Oct →
mirage13–10-0.0919%24 Oct →
mirage16–13-0.0311%23 Oct →
mirage3–13-0.0510%23 Oct →
vertigo13–4-0.0326%23 Oct →
mirage10–13-0.106%23 Oct →
ancient13–10-0.0416%23 Oct →
inferno7–13-0.0916%23 Oct →
anubis13–110.0229%14 Oct →
mirage4–13-0.107%14 Oct →
mirage9–13-0.0713%13 Oct →
vertigo13–5-0.0715%13 Oct →
nuke4–13-0.069%13 Oct →
mirage8–13-0.0926%13 Oct →
mirage13–4-0.0228%13 Oct →
mirage2–13-0.109%13 Oct →
mirage13–7-0.0121%13 Oct →
ancient9–13-0.105%13 Oct →
vertigo12–16-0.0829%13 Oct →
inferno13–6-0.0013%12 Oct →
vertigo13–80.0314%12 Oct →
mirage10–3-0.049%12 Oct →
ancient16–14-0.0830%12 Oct →
mirage13–7-0.0111%12 Oct →
mirage13–10-0.0321%11 Oct →
vertigo7–13-0.1113%11 Oct →
mirage8–13-0.0725%11 Oct →
overpass13–8-0.079%11 Oct →
anubis7–13-0.0927%11 Oct →
anubis16–19-0.0312%10 Oct →
mirage8–13-0.0622%10 Oct →
cache5–13-0.1413%10 Oct →
mirage9–13-0.0818%9 Oct →
mirage13–7-0.0424%9 Oct →
anubis16–13-0.054%9 Oct →
mirage13–10-0.087%8 Oct →
vertigo13–11-0.0426%8 Oct →
mirage13–8-0.030%8 Oct →
mirage13–4-0.1117%8 Oct →
mirage10–13-0.0319%8 Oct →
overpass13–5-0.056%8 Oct →
vertigo13–7-0.0646%8 Oct →
mirage13–8-0.0426%7 Oct →
ancient13–9-0.0722%7 Oct →
vertigo4–13-0.095%7 Oct →
mirage14–16-0.0916%7 Oct →
vertigo12–10.016%7 Oct →
cache4–13-0.0315%7 Oct →
mirage13–9-0.0122%7 Oct →
mirage13–7-0.0916%7 Oct →
mirage13–10-0.0218%7 Oct →
ancient5–13-0.049%7 Oct →
vertigo16–12-0.0821%7 Oct →
mirage13–10-0.0315%7 Oct →
vertigo17–19-0.0514%6 Oct →
vertigo11–13-0.067%6 Oct →
mirage13–10-0.066%6 Oct →
mirage8–13-0.016%5 Oct →
anubis13–6-0.056%5 Oct →
cache11–13-0.107%5 Oct →
mirage13–10-0.076%5 Oct →
mirage10–13-0.0510%5 Oct →
mirage12–16-0.0721%5 Oct →
vertigo10–00.0246%5 Oct →
mirage13–11-0.0822%5 Oct →
mirage0–13-0.0910%5 Oct →
mirage7–13-0.0419%4 Oct →
vertigo13–9-0.048%4 Oct →
vertigo16–14-0.0419%4 Oct →
ancient9–13-0.087%3 Oct →
dust28–13-0.0730%3 Oct →
dust213–9-0.0224%3 Oct →
anubis13–30.0217%3 Oct →
ancient13–9-0.028%2 Oct →
mirage13–40.0427%2 Oct →
mirage11–13-0.0211%2 Oct →
mirage9–13-0.0614%2 Oct →
mirage9–13-0.0318%2 Oct →
ancient22–19-0.039%2 Oct →
mirage13–11-0.016%2 Oct →
cache13–6-0.0911%2 Oct →
anubis7–13-0.0512%1 Oct →
cache13–8-0.0825%1 Oct →
vertigo13–16-0.048%1 Oct →
vertigo8–130.049%1 Oct →
mirage13–7-0.0526%1 Oct →
ancient8–13-0.0211%1 Oct →
mirage13–5-0.0426%1 Oct →
mirage8–13-0.127%1 Oct →
mirage13–70.015%1 Oct →
mirage3–5-0.100%30 Sept →
dust214–16-0.1014%30 Sept →
mirage13–2-0.028%30 Sept →

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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