Eirys — CS2 Stats

76561198170784026[U:1:210518298]Steam profile ↗✓ No bans

1,735Tracked matches57%Win rate2020Tracked since

8,813Hours in CS27Hrs last 2 wks

CSDB Rating5.8 SolidPassive Rifler

FaceitLevel 10 · 2,501 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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 10 median
Headshot rate	54.2%	51.7%
Shot accuracy	16.0%	13.8%
Kill/death ratio	0.88	1.09
Match win rate	47.2%	48.7%

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Performance scores

Aim65

Positioning49

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWWWLLWWLLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.5

Aggression3.3

Utility6.7

Positioning4.9

Opening Duels0.0

Clutch4.0

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.

Your pro match

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

T-side openings. Opening success drops from 39% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim6.5

Positioning4.9

Utility6.7

Mechanics6.4

Opening Duels1.1

Win Impact7.2

Composite 5.8/10 (Solid), 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 -0.00 → last ⅓ avg -0.02

Reaction time599ms−30ms

first ⅓ avg 629ms → last ⅓ avg 599ms

Headshot accuracy21.5%−2.4%

first ⅓ avg 23.9% → last ⅓ avg 21.5%

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.

Highlights

0.14Best rating — nuke 13–3

13–1Biggest win — nuke

7Longest win streak

W3Current streak

12–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 61% over 36mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	22–14	61%	-0.00
nuke	B	19	10–9	53%	0.00
inferno	A	15	9–6	60%	0.00
anubis	B	10	5–5	50%	-0.03
mirage	D	7	1–6	14%	-0.02
cache	—	4	4–0	100%	0.00
ancient	—	3	1–2	33%	-0.02
train	—	3	2–1	67%	0.00
overpass	—	2	1–1	50%	-0.01
office	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

239,710Lifetime kills

0.88K/D

9,097Matches

47.2%Match win rate

54.2%Headshot % · Top 50% of Level 10 players

16.0%Shot accuracy · Top 50% of Level 10 players

25,113MVPs

6,534Hours (in match)

12,831Bombs planted

3,154Bombs defused

Most-used weapons

AK-4798,695

M4A4 / M4A1-S33,590

AWP25,416

Desert Eagle18,010

P2000 / USP-S15,497

Glock-187,077

FAMAS4,732

P2503,943

Galil AR3,714

Knife3,688

Lifetime map wins

43,281dust2

14,550inferno

3,477nuke

2,931train

2,721vertigo

2,408cbble

166office

38italy

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

Faceit stats

Combat

3,250Matches

51%Win rate

1.04Avg K/D

73.9ADR

47%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	257	56%	1.08	14.9
Inferno	157	49%	1.10	15.4
Mirage	153	48%	1.05	14.2
Anubis	118	52%	1.05	15.2
Nuke	100	50%	0.96	14.3
Overpass	41	49%	0.99	14.9
Train	29	62%	1.23	16.6
Ancient	25	48%	1.01	15.4

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.

21.0%Headshot accuracy

32.7%Accuracy (enemy spotted)

37.1%Spray accuracy

78.6%Counter-strafing

11.0°Preaim

599msReaction time

20.3%T opening success

39.1%CT opening success

0.68Enemies flashed / flash

11.7%Flash assists

7.48HE damage / grenade

11.73Flashes / 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.

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 20.2754% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–9	-0.05	17%	29 Aug →
dust2	13–9	-0.06	13%	29 Aug →
dust2	19–17	-0.05	17%	27 Aug →
anubis	8–13	-0.01	13%	20 Aug →
dust2	16–19	-0.04	21%	13 Aug →
dust2	13–2	0.03	31%	13 Aug →
dust2	13–8	0.00	18%	13 Aug →
inferno	7–13	-0.00	21%	11 Aug →
dust2	5–13	-0.01	16%	11 Aug →
anubis	13–11	0.00	34%	8 Aug →
cache	16–14	0.01	18%	6 Aug →
inferno	13–11	0.00	21%	6 Aug →
cache	16–13	-0.02	13%	24 Jul →
nuke	8–13	-0.04	27%	23 Jul →
dust2	8–13	-0.02	15%	23 Jul →
inferno	11–13	-0.05	38%	23 Jul →
anubis	5–13	-0.06	10%	21 Jul →
dust2	19–17	-0.02	31%	28 Jun →
dust2	13–3	0.01	20%	28 Jun →
inferno	13–9	-0.04	25%	7 Jun →
cache	13–5	0.05	31%	2 Jun →
dust2	12–14	-0.03	13%	31 May →
dust2	13–7	-0.03	26%	21 May →
ancient	5–13	0.04	21%	19 May →
cache	13–9	-0.04	21%	11 May →
anubis	6–13	-0.07	13%	23 Apr →
inferno	13–4	0.03	20%	16 Apr →
nuke	13–1	0.00	27%	14 Apr →
mirage	6–13	-0.06	22%	14 Apr →
mirage	11–13	-0.01	19%	26 Mar →
anubis	13–7	-0.01	28%	19 Mar →
inferno	4–13	-0.03	25%	18 Mar →
nuke	13–8	0.08	26%	18 Mar →
overpass	13–8	-0.02	27%	2 Mar →
dust2	13–10	-0.07	23%	19 Feb →
inferno	6–13	0.04	33%	14 Feb →
nuke	10–13	-0.10	27%	14 Feb →
inferno	13–11	0.03	26%	12 Feb →
dust2	13–6	-0.03	12%	12 Feb →
inferno	13–2	0.06	22%	10 Feb →
dust2	13–4	0.00	30%	9 Feb →
anubis	13–7	-0.01	17%	9 Feb →
dust2	6–13	-0.03	23%	9 Feb →
anubis	19–16	-0.02	19%	8 Feb →
dust2	9–13	0.03	17%	8 Feb →
nuke	8–13	-0.03	18%	31 Jan →
anubis	11–13	-0.08	8%	29 Jan →
anubis	11–13	-0.05	19%	28 Jan →
dust2	9–13	-0.04	13%	26 Jan →
inferno	13–11	0.01	22%	24 Jan →
dust2	13–9	0.05	24%	24 Jan →
dust2	13–4	0.07	43%	24 Jan →
anubis	13–6	-0.04	11%	21 Jan →
dust2	13–11	-0.00	16%	21 Jan →
nuke	13–3	0.14	27%	18 Jan →
dust2	13–4	-0.04	26%	17 Jan →
mirage	12–16	0.06	25%	12 Jan →
nuke	13–9	0.06	24%	12 Jan →
overpass	11–13	-0.01	16%	10 Jan →
train	13–10	-0.01	23%	10 Jan →
nuke	6–13	-0.02	28%	10 Jan →
dust2	7–13	-0.01	19%	3 Jan →
nuke	4–13	-0.02	27%	3 Jan →
nuke	13–11	0.00	21%	2 Jan →
dust2	11–13	-0.04	29%	29 Dec →
office	13–4	0.11	17%	29 Dec →
train	13–4	0.04	22%	29 Dec →
dust2	7–13	0.08	26%	29 Dec →
mirage	13–8	-0.03	7%	24 Dec →
nuke	14–16	-0.05	22%	22 Dec →
inferno	9–13	0.00	29%	19 Dec →
inferno	9–13	-0.03	20%	18 Dec →
dust2	13–10	0.02	23%	18 Dec →
nuke	11–13	0.01	30%	13 Dec →
dust2	2–13	0.01	34%	13 Dec →
dust2	13–7	-0.01	17%	13 Dec →
train	12–12	-0.03	52%	12 Dec →
dust2	12–12	0.00	27%	12 Dec →
nuke	13–8	-0.02	12%	11 Dec →
dust2	13–4	0.08	26%	11 Dec →
nuke	6–13	-0.02	33%	11 Dec →
mirage	7–13	-0.04	46%	11 Dec →
dust2	8–13	0.00	31%	9 Dec →
ancient	13–11	-0.03	19%	9 Dec →
dust2	4–13	0.05	25%	7 Dec →
nuke	13–11	0.03	25%	7 Dec →
dust2	13–10	-0.00	21%	6 Dec →
inferno	13–10	0.03	23%	6 Dec →
ancient	5–13	-0.08	25%	6 Dec →
dust2	13–8	0.04	29%	6 Dec →
dust2	16–12	0.01	28%	6 Dec →
inferno	13–9	-0.00	26%	5 Dec →
mirage	2–13	-0.03	20%	5 Dec →
nuke	13–7	-0.03	23%	2 Dec →
inferno	13–5	0.01	19%	1 Dec →
nuke	7–13	0.01	20%	30 Nov →
dust2	13–9	-0.01	10%	29 Nov →
nuke	16–14	-0.03	13%	29 Nov →
mirage	10–13	-0.01	13%	29 Nov →
nuke	13–7	0.04	15%	26 Nov →