emil

emil — CS2 Stats

SE76561198074668517[U:1:114402789]Steam profile ↗✓ No bans

1,220Tracked matches73%Win rate2020Tracked since
CSDB Rating7.5 StrongOpening Duellist
FaceitLevel 10 · 2,597 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

−42Faceit ELO · 2,639 → 2,597

Rating over time

2,639Highest Faceit ELO seen on CSDB
58Days played since 2025-01-08

Faceit ELO

  • 42 below peak (2,639)
  • Next: 3,000 ELO at 3,000 — 403 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-09
  • Level 10 first seen 2026-09-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGemilFACEITLevel 10 · 2,597 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,639csdb.gg/stats

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Performance scores

Aim82
Positioning71
Utility68

0–100 skill scores via Leetify.

Recent form

HOT63–35–2Last 10063%Win rateWWWWWWWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −4.2pp headshot accuracy · −24ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 16%
  • Avg reaction 536ms

Last 10

  • 10–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 519ms

Last 20

  • 19–1 · 95% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+0.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.2
Utility6.8
Positioning7.1
Opening Duels7.2
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.

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

m0NESY

Plays most like m0NESY 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.2
Positioning7.1
Utility6.8
Mechanics5.8
Opening Duels6.3
Win Impact10.0

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time542ms−16ms
first ⅓ avg 558ms → last ⅓ avg 542ms
Headshot accuracy19.8%−2.0%
first ⅓ avg 21.8% → last ⅓ avg 19.8%

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 · 13–10 · cache, 15 May →
42%Best headshot accuracy · 10–13 · inferno, 17 Apr →
391msFastest reaction time · 13–8 · dust2, 6 Oct →
13–2Biggest win · cache, 25 May →

Across the last 100 tracked matches.

Highlights

14Longest win streak
W14Current streak
5–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 69% over 48infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
cacheS4833–1569%0.04
mirageA1610–663%0.02
nukeA149–564%0.02
ancientA85–363%0.02
infernoC73–443%0.04
dust2—42–250%0.06
train—21–150%-0.05
cache_b—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,279Matches
51%Win rate
1.12Avg K/D
81.8ADR
46%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage19751%1.2517.3
Ancient12747%1.0415.6
Nuke7258%1.2417.5
Inferno4947%1.1015.5
Dust23746%1.1017.6
Vertigo2548%0.8713.7
Anubis1942%0.9714.5
Train1354%1.2014.6

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.

19.6%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.1%Spray accuracy
76.3%Counter-strafing
8.7°Preaim
529msReaction time
55.0%T opening success
55.6%CT opening success
0.59Enemies flashed / flash
13.8%Flash assists
8.02HE damage / grenade
13.38Flashes / match

Recommended for you

Spend your practice time on Inferno

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–70.0415%11 Oct →
cache13–70.0211%11 Oct →
dust213–80.1412%6 Oct →
mirage13–100.1524%6 Oct →
mirage13–80.0519%4 Oct →
nuke13–60.0419%4 Oct →
cache13–100.0014%27 Sept →
nuke13–40.0022%27 Sept →
mirage16–120.0517%20 Sept →
inferno13–70.0316%20 Sept →
mirage13–110.0016%16 Sept →
nuke16–120.0121%13 Sept →
cache13–3-0.0126%13 Sept →
nuke13–80.0423%6 Sept →
ancient16–190.0226%6 Sept →
nuke13–30.0313%30 Aug →
cache13–110.0527%30 Aug →
ancient13–30.0129%22 Jul →
nuke13–70.0115%22 Jul →
inferno13–30.1314%22 Jul →
inferno6–130.0221%11 Jul →
mirage9–13-0.0123%28 Jun →
nuke20–22-0.0214%23 Jun →
inferno13–80.0622%14 Jun →
ancient13–9-0.0127%8 Jun →
nuke16–140.1722%4 Jun →
cache7–13-0.0322%2 Jun →
cache11–130.0019%1 Jun →
cache6–130.0516%1 Jun →
cache5–130.0422%1 Jun →
cache9–130.0126%28 May →
cache13–40.0012%28 May →
cache13–80.1028%28 May →
cache10–130.0221%26 May →
cache13–30.1321%26 May →
cache13–50.0820%25 May →
cache12–120.0419%25 May →
cache13–20.0420%25 May →
cache13–90.0618%24 May →
cache6–13-0.0229%24 May →
cache4–13-0.0818%24 May →
cache12–12-0.0519%24 May →
cache13–100.1121%24 May →
cache13–9-0.0220%23 May →
cache13–100.2217%15 May →
cache13–9-0.0129%15 May →
cache13–50.0224%15 May →
cache9–130.0720%15 May →
cache13–11-0.0125%14 May →
cache13–40.0317%14 May →
cache13–40.0229%14 May →
cache13–11-0.0224%14 May →
cache13–9-0.0019%14 May →
cache13–40.0724%14 May →
cache13–50.0117%14 May →
cache13–3-0.0228%14 May →
cache11–13-0.0417%13 May →
cache10–130.0519%13 May →
cache13–70.0224%13 May →
cache13–70.0316%6 May →
cache13–70.1419%6 May →
cache13–40.0720%3 May →
cache10–130.0321%3 May →
cache13–90.1026%2 May →
cache13–8-0.0130%2 May →
cache6–20.0142%2 May →
cache13–30.1022%2 May →
cache13–60.1520%2 May →
cache5–130.0319%1 May →
cache13–40.1214%1 May →
mirage8–130.0411%26 Apr →
cache_b4–13-0.0314%16 Apr →
mirage13–80.0220%11 Apr →
inferno13–160.0128%18 Jan →
ancient13–60.1121%17 Jan →
mirage7–130.0429%21 Dec →
mirage13–4-0.0433%18 Dec →
inferno6–13-0.0026%17 Dec →
train13–80.0118%17 Dec →
mirage13–3-0.0326%15 Dec →
train1–13-0.1031%11 Dec →
nuke6–13-0.0421%17 Nov →
nuke13–80.0229%18 Jul →
nuke11–130.0214%13 May →
mirage13–60.0418%11 May →
mirage13–90.0322%10 May →
inferno10–130.0142%17 Apr →
nuke6–13-0.0620%8 Apr →
mirage10–130.0216%1 Apr →
dust214–160.0524%19 Mar →
mirage14–16-0.0212%16 Mar →
nuke13–40.0320%15 Mar →
dust218–220.0023%14 Mar →
mirage13–60.0833%14 Mar →
nuke8–13-0.0215%11 Mar →
dust216–120.0624%10 Mar →
mirage4–13-0.029%13 Feb →
ancient10–13-0.0131%30 Jan →
ancient13–80.0114%23 Jan →
ancient11–13-0.0422%8 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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