👑 eloliina — CS2 Stats

SE76561198024878623[U:1:64612895]Steam profile ↗✓ No bans

1,266Tracked matches46%Win rate2020Tracked since

2,192Hours in CS

CSDB Rating4.7 DevelopingSupport

Premier CS Rating20,462Top 50% of 213,542 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#77434 of 260070 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (58 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: 20,462 -964 20 Aug – 9 Sept · 19 days played

22,779Peak Premier in tracked matches

32Days played since 2025-08-20

Premier CS Rating

2,268 below peak (22,730)
-991 over 30 days · declining
Next: Red band at 25,000 — 4,538 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-01
Purple band first seen 2026-09-01

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 Level 8 among CSDB-tracked players (n=15,525), 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.

Metric	This player	Level 8 median	Level 9 median	vs Level 9
Headshot rate	36.7%	46.8%	48.2%	11.5% short
Shot accuracy	14.5%	13.0%	13.2%	above
Kill/death ratio	0.95	1.06	1.07	0.12 short
Match win rate	48.6%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

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Performance scores

Aim60

Positioning41

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLWLTWLWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · +1.1pp headshot accuracy · −80ms 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

3–2 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 24%
Avg reaction 505ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 527ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 567ms

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 against its own average).

Aim6.0

Utility5.8

Positioning4.1

Opening Duels0.8

Clutch4.6

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

Plays most like ZywOo 78% 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. 594ms 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

Aim6.0

Positioning4.1

Utility5.8

Mechanics4.5

Opening Duels0.5

Win Impact3.8

Composite 4.7/10 (Developing), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time590ms−34ms

first ⅓ avg 624ms → last ⅓ avg 590ms

Headshot accuracy20.2%+5.1%

first ⅓ avg 15.1% → last ⅓ avg 20.2%

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 · 13–6 · nuke, 4 Sept →

46%Best headshot accuracy · 13–2 · dust2, 6 Aug →

375msFastest reaction time · 0–13 · cache, 5 Aug →

13–1Biggest win · mirage, 10 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

16–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 71% over 14ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	22	9–13	41%	-0.01
cache	A	20	11–9	55%	-0.01
nuke	B	19	10–9	53%	-0.01
dust2	S	14	10–4	71%	-0.01
mirage	D	7	2–5	29%	0.01
anubis	B	6	3–3	50%	-0.01
ancient	D	5	1–4	20%	-0.03
overpass	D	5	1–4	20%	-0.01
vertigo	—	1	1–0	100%	0.00
train	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,429Lifetime kills

0.95K/D

5,119Matches

48.6%Match win rate · Top 50% of Level 8 players

36.7%Headshot %

14.5%Shot accuracy · Top 50% of Level 8 players

8,381MVPs

2,192Hours (in match)

6,834Bombs planted

1,076Bombs defused

Most-used weapons

AK-4724,687

M4A4 / M4A1-S15,592

AWP8,765

P2000 / USP-S5,272

Desert Eagle4,372

P2502,388

Glock-182,090

MP91,657

MAC-101,656

Five-SeveN1,642

Lifetime map wins

11,094inferno

6,847dust2

3,974train

2,673nuke

1,331cbble

1,000vertigo

223office

142lake

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

Faceit stats

Combat

526Matches

54%Win rate

0.94Avg K/D

61.6ADR

35%Headshot %

Clutches & streaks

43%1v1 clutch win

14%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	20	40%	0.79	11.3
Mirage	15	40%	1.03	13.7
Cache	13	69%	0.86	12.0
Nuke	9	56%	0.80	11.8
Dust2	8	75%	1.03	11.5
Anubis	5	40%	0.64	10.4
Vertigo	3	0%	0.49	8.7
Overpass	2	50%	0.48	11.0

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.

20.3%Headshot accuracy

33.7%Accuracy (enemy spotted)

37.8%Spray accuracy

70.1%Counter-strafing

11.0°Preaim

594msReaction time

34.4%T opening success

30.0%CT opening success

0.49Enemies flashed / flash

4.6%Flash assists

8.64HE damage / grenade

12.66Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4906 — below the 0.5 mark we flag
Grenade Lineups →
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 34.3812% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	16–14	-0.05	24%	10 Oct →
inferno	13–8	0.02	30%	12 Sept →
nuke	11–13	-0.02	29%	12 Sept →
mirage	13–1	0.10	22%	10 Sept →
inferno	3–13	-0.06	13%	9 Sept →
dust2	15–15	0.01	35%	9 Sept →
mirage	13–11	0.02	12%	3 Sept →
inferno	10–13	0.01	15%	28 Aug →
cache	13–5	0.09	17%	28 Aug →
anubis	2–13	-0.06	16%	18 Aug →
cache	12–12	-0.01	16%	10 Aug →
nuke	2–13	-0.08	22%	10 Aug →
nuke	1–13	-0.06	14%	6 Aug →
inferno	4–13	-0.05	15%	6 Aug →
dust2	13–2	-0.01	46%	6 Aug →
cache	13–16	-0.01	27%	6 Aug →
nuke	3–6	-0.05	23%	5 Aug →
cache	13–8	-0.06	17%	5 Aug →
cache	0–13	-0.05	14%	5 Aug →
anubis	13–5	-0.00	7%	4 Aug →
nuke	10–13	-0.05	18%	4 Aug →
inferno	13–11	-0.02	21%	4 Aug →
cache	13–11	-0.05	16%	4 Aug →
cache	13–7	-0.06	27%	4 Aug →
inferno	12–16	0.02	21%	3 Aug →
nuke	13–7	-0.01	22%	3 Aug →
cache	10–13	-0.01	15%	3 Aug →
inferno	14–16	-0.04	12%	3 Aug →
cache	14–16	-0.04	14%	3 Aug →
dust2	13–11	-0.00	23%	3 Aug →
dust2	13–10	-0.03	24%	30 Jul →
ancient	10–13	-0.07	12%	30 Jul →
cache	13–8	0.01	24%	30 Jul →
nuke	13–11	0.00	18%	30 Jul →
inferno	16–14	0.02	22%	30 Jul →
dust2	16–14	-0.02	23%	30 Jul →
inferno	7–13	-0.08	13%	30 Jul →
inferno	0–13	-0.08	0%	30 Jul →
inferno	5–13	-0.00	5%	29 Jul →
dust2	13–7	-0.01	13%	29 Jul →
nuke	13–9	-0.03	13%	29 Jul →
inferno	5–2	-0.02	45%	29 Jul →
dust2	13–4	0.06	18%	29 Jul →
anubis	13–9	-0.01	16%	29 Jul →
anubis	7–13	0.07	13%	28 Jul →
cache	13–10	0.02	20%	28 Jul →
anubis	5–13	-0.06	12%	28 Jul →
inferno	10–13	-0.00	17%	28 Jul →
anubis	13–8	-0.01	22%	28 Jul →
cache	13–11	0.03	18%	28 Jul →
dust2	13–5	-0.01	24%	28 Jul →
mirage	15–15	0.05	15%	28 Jul →
cache	6–13	-0.04	29%	28 Jul →
inferno	13–10	0.01	13%	27 Jul →
nuke	16–14	0.04	15%	27 Jul →
cache	3–13	-0.04	9%	27 Jul →
nuke	13–3	0.10	37%	27 Jul →
dust2	16–13	0.03	28%	27 Jul →
nuke	5–13	0.00	11%	27 Jul →
cache	3–13	-0.07	21%	27 Jul →
vertigo	12–3	0.00	14%	27 Jul →
cache	13–11	0.05	19%	17 Jun →
nuke	11–13	-0.04	11%	17 Jun →
nuke	13–7	0.00	23%	14 May →
cache	2–13	0.01	20%	14 May →
cache	13–8	-0.00	21%	4 May →
cache	13–5	0.04	10%	4 May →
overpass	11–13	0.01	16%	17 Jan →
dust2	2–13	-0.00	23%	17 Jan →
train	13–7	0.02	21%	19 Dec →
inferno	10–13	0.01	18%	19 Dec →
nuke	1–13	-0.08	12%	19 Dec →
dust2	13–10	-0.03	16%	18 Dec →
nuke	13–11	-0.03	16%	19 Sept →
mirage	11–13	-0.09	14%	14 Sept →
overpass	14–16	-0.03	11%	11 Sept →
inferno	14–16	-0.02	15%	11 Sept →
inferno	4–13	-0.05	15%	11 Sept →
ancient	13–11	0.01	19%	11 Sept →
inferno	16–12	-0.03	21%	8 Sept →
ancient	8–13	-0.01	14%	8 Sept →
overpass	7–13	0.04	20%	8 Sept →
nuke	13–6	0.11	11%	4 Sept →
nuke	13–10	0.04	15%	3 Sept →
inferno	13–9	0.04	12%	3 Sept →
ancient	9–13	-0.06	6%	3 Sept →
dust2	13–11	-0.00	14%	3 Sept →
overpass	13–11	0.00	29%	3 Sept →
overpass	2–13	-0.09	6%	29 Aug →
mirage	4–13	-0.02	14%	29 Aug →
mirage	8–13	-0.01	9%	29 Aug →
dust2	2–13	-0.11	5%	29 Aug →
ancient	15–15	-0.02	21%	22 Aug →
inferno	10–13	0.05	14%	22 Aug →
nuke	11–13	-0.02	15%	22 Aug →
inferno	13–1	0.06	12%	22 Aug →
mirage	3–6	0.03	19%	22 Aug →
inferno	13–10	0.01	19%	21 Aug →
dust2	10–13	-0.00	14%	21 Aug →
nuke	13–11	0.01	13%	20 Aug →