elfin

elfin — CS2 Stats

76561198798955076[U:1:838689348]Steam profile ↗✓ No bans

426Tracked matches57%Win rate2020Tracked since
CSDB Rating7.4 StrongPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 426
0.0ppWin rate · 56.7% → 56.7%

Rating over time

60Days played since 2026-02-01

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

Share this profile

CSDB.GGelfinFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim84
Positioning71
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWLWLLLLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.4pp headshot accuracy · −80ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 520ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 506ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 546ms

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 (+1.7 against its own average).

Aim8.4
Utility6.0
Positioning7.1
Opening Duels5.2
Clutch3.4

Strong CT-side opener

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 93% 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 →

CSDB Rating breakdown

Aim8.4
Positioning7.1
Utility6.0
Mechanics8.2
Opening Duels6.2
Win Impact7.2

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time544ms−54ms
first ⅓ avg 598ms → last ⅓ avg 544ms
Headshot accuracy16.1%+0.3%
first ⅓ avg 15.9% → last ⅓ avg 16.1%

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

0.14Best match rating · 13–4 · ancient, 21 May →
29%Best headshot accuracy · 10–13 · dust2, 26 Aug →
406msFastest reaction time · 11–13 · mirage, 27 Oct →
13–1Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 67% over 24anubisWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageS2416–867%0.01
dust2B179–853%-0.00
anubisD165–1131%0.01
cacheB158–753%0.02
infernoB115–645%0.01
ancientA85–363%0.04
vertigo—41–325%0.01
nuke—21–150%0.02
train—20–20%0.01
overpass—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

642Matches
66%Win rate
1.47Avg K/D
74.3ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2361%1.7514.3
Ancient2264%1.1214.5
Dust21867%0.9813.3
Anubis1547%1.0213.7
Inferno683%2.0018.5
Vertigo475%3.3515.3
Nuke3100%1.1819.0
Cache2100%1.3813.0

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.

16.5%Headshot accuracy
37.6%Accuracy (enemy spotted)
38.9%Spray accuracy
86.9%Counter-strafing
8.6°Preaim
534msReaction time
50.6%T opening success
59.0%CT opening success
0.56Enemies flashed / flash
8.1%Flash assists
6.40HE damage / grenade
11.05Flashes / match

Recommended for you

Spend your practice time on Anubis

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0817%3 Nov →
mirage13–30.069%3 Nov →
mirage11–13-0.0115%27 Oct →
mirage13–40.0316%24 Oct →
mirage10–13-0.0014%22 Oct →
ancient10–130.0813%22 Oct →
cache4–130.0224%20 Oct →
anubis11–13-0.027%19 Oct →
inferno13–9-0.0126%19 Oct →
anubis7–130.0016%19 Oct →
anubis9–13-0.0218%10 Oct →
dust26–130.0020%2 Oct →
mirage13–5-0.0210%2 Oct →
inferno7–130.0316%25 Sept →
inferno13–110.0213%24 Sept →
inferno13–100.0513%24 Sept →
ancient13–100.1214%24 Sept →
nuke13–60.0924%23 Sept →
nuke2–7-0.045%23 Sept →
mirage13–1-0.0227%23 Sept →
mirage13–40.068%22 Sept →
ancient19–17-0.0016%21 Sept →
dust29–13-0.0526%14 Sept →
mirage16–140.0121%12 Sept →
inferno13–60.059%12 Sept →
dust213–110.0020%12 Sept →
dust213–50.0212%1 Sept →
mirage4–130.0119%27 Aug →
dust210–13-0.0829%26 Aug →
mirage13–70.0814%26 Aug →
mirage13–9-0.0415%25 Aug →
dust213–20.0923%25 Aug →
anubis5–130.006%25 Aug →
vertigo8–13-0.0222%24 Aug →
cache10–13-0.0112%24 Aug →
mirage8–13-0.0019%21 Aug →
anubis4–130.0220%21 Aug →
dust211–13-0.0123%18 Aug →
anubis13–70.0117%18 Aug →
ancient5–13-0.0421%10 Aug →
dust213–100.0215%7 Aug →
cache4–13-0.0314%6 Aug →
vertigo9–130.0617%6 Aug →
dust216–130.0420%28 Jul →
mirage6–13-0.005%27 Jul →
ancient13–70.0326%23 Jul →
dust27–13-0.0716%22 Jul →
mirage3–13-0.0620%22 Jul →
inferno11–13-0.0422%22 Jul →
dust213–100.0720%20 Jul →
anubis11–13-0.0310%20 Jul →
cache13–80.0122%16 Jul →
anubis11–13-0.0113%13 Jul →
cache13–90.0420%9 Jul →
cache4–13-0.0320%7 Jul →
inferno13–3-0.0417%3 Jul →
mirage13–70.058%3 Jul →
inferno0–4-0.0614%3 Jul →
mirage13–110.0820%30 Jun →
mirage10–13-0.0612%28 Jun →
inferno12–120.0713%28 Jun →
cache13–90.1012%27 Jun →
mirage13–90.0415%26 Jun →
mirage22–200.0123%26 Jun →
dust213–7-0.0420%26 Jun →
mirage13–80.0512%25 Jun →
cache13–40.0519%25 Jun →
anubis11–130.027%25 Jun →
overpass11–13-0.0016%24 Jun →
train8–130.0616%23 Jun →
cache12–120.0622%23 Jun →
cache2–11-0.0217%23 Jun →
dust213–70.0320%23 Jun →
cache16–130.0113%18 Jun →
anubis11–13-0.0815%18 Jun →
dust213–40.0119%15 Jun →
mirage13–80.0310%11 Jun →
ancient13–60.0215%9 Jun →
mirage13–70.0415%2 Jun →
mirage7–13-0.0321%28 May →
ancient13–40.149%21 May →
vertigo6–2-0.0517%17 May →
cache12–12-0.0418%17 May →
dust21–13-0.0421%4 May →
anubis16–140.0422%4 May →
cache13–90.029%4 May →
anubis8–130.0114%30 Apr →
cache13–9-0.0113%30 Apr →
mirage13–80.0112%30 Apr →
anubis13–70.0717%24 Apr →
anubis8–130.0110%23 Apr →
inferno9–130.0217%13 Apr →
anubis13–110.0610%13 Apr →
train8–13-0.0420%30 Mar →
dust23–13-0.1024%30 Mar →
anubis13–10.0314%29 Mar →
ancient11–130.0010%11 Mar →
vertigo8–130.0324%4 Mar →
inferno11–130.0120%4 Mar →
dust29–130.1120%1 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.