EUPHORiAA — CS2 Stats

76561197996702282[U:1:36436554]

1,201Tracked matches55%Win rate2020Tracked since

5,758Hours in CS32Hrs last 2 wks

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating24,999Top 25% of 29,473 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#6604 of 53284 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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	Pink band median	Red band median	vs Red band
Headshot rate	43.9%	47.1%	50.0%	6.2% short
Shot accuracy	18.1%	12.8%	13.5%	above
Kill/death ratio	1.36	1.08	1.13	above
Match win rate	49.0%	46.6%	48.4%	meets

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

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Performance scores

Aim84

Positioning71

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWLWWWWLLL

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression6.8

Utility6.2

Positioning7.1

Opening Duels3.5

Clutch4.4

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.

Your pro match

Plays most like iM 95% playstyle similarity

Most alike: utility contribution, 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 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning7.1

Utility6.2

Mechanics7.3

Opening Duels3.5

Win Impact6.7

Composite 7.1/10 (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 rating0.03−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time557ms−42ms

first ⅓ avg 599ms → last ⅓ avg 557ms

Headshot accuracy19.3%−2.3%

first ⅓ avg 21.6% → last ⅓ avg 19.3%

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.

Highlights

0.17Best rating — dust2 13–2

13–1Biggest win — train

7Longest win streak

9–5In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 64% over 14ancientWeakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	26	16–10	62%	0.05
ancient	C	22	8–14	36%	0.04
mirage	B	16	8–8	50%	0.04
inferno	A	14	9–5	64%	0.05
anubis	B	12	6–6	50%	0.04
train	—	3	2–1	67%	0.04
dust2	—	3	2–1	67%	0.07
nuke	—	2	2–0	100%	0.06
debris	—	1	1–0	100%	0.01
eldorado	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

220,649Lifetime kills

1.36K/D · Top 25% of Pink band

7,535Matches

49.0%Match win rate · Top 50% of Pink band

43.9%Headshot %

18.1%Shot accuracy · Top 10% of Pink band

31,824MVPs

3,848Hours (in match)

13,793Bombs planted

3,796Bombs defused

Most-used weapons

AK-4785,726

M4A4 / M4A1-S50,683

AWP34,824

P2000 / USP-S12,535

Desert Eagle7,634

Glock-186,364

P2503,862

FAMAS2,800

Galil AR1,733

HE Grenade1,650

Lifetime map wins

19,900dust2

14,025inferno

3,661cbble

2,097train

1,683nuke

492vertigo

138lake

67dust

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

Faceit stats

Combat

372Matches

54%Win rate

1.26Avg K/D

90.4ADR

39%Headshot %

Clutches & streaks

42%1v1 clutch win

18%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	58%	1.25	16.0
Ancient	16	50%	1.29	20.3
Inferno	9	89%	1.34	18.1
Anubis	5	60%	1.13	15.6
Cache	4	50%	1.45	23.5
Nuke	4	25%	0.97	14.0
Dust2	2	50%	2.69	17.0
Overpass	2	50%	1.33	16.5

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.

19.2%Headshot accuracy

38.3%Accuracy (enemy spotted)

38.8%Spray accuracy

82.7%Counter-strafing

8.5°Preaim

549msReaction time

35.5%T opening success

52.2%CT opening success

0.51Enemies flashed / flash

5.6%Flash assists

9.37HE damage / grenade

10.04Flashes / 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 35.492% — 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.

36% win rate across 22 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	13–16	0.03	21%	30 Aug →
mirage	16–13	-0.06	11%	30 Aug →
ancient	11–13	-0.02	13%	30 Aug →
inferno	16–12	0.03	24%	30 Aug →
inferno	13–11	0.01	12%	29 Aug →
cache	13–10	0.00	20%	29 Aug →
cache	13–8	0.06	22%	24 Aug →
cache	14–16	0.00	10%	23 Aug →
inferno	2–13	-0.03	18%	22 Aug →
ancient	7–13	-0.03	25%	21 Aug →
cache	11–13	0.06	17%	21 Aug →
cache	13–4	0.14	25%	21 Aug →
mirage	3–13	0.08	14%	21 Aug →
inferno	13–16	-0.00	18%	21 Aug →
anubis	8–4	0.04	23%	21 Aug →
mirage	15–15	0.03	18%	21 Aug →
nuke	13–10	0.06	29%	20 Aug →
anubis	13–9	0.02	27%	20 Aug →
ancient	13–6	0.09	17%	20 Aug →
inferno	13–11	0.05	25%	19 Aug →
mirage	6–13	-0.03	11%	19 Aug →
cache	4–13	-0.01	25%	18 Aug →
cache	13–9	0.01	24%	18 Aug →
inferno	16–12	0.08	29%	17 Aug →
anubis	2–13	-0.01	14%	17 Aug →
ancient	7–13	0.03	12%	17 Aug →
cache	13–8	0.04	20%	17 Aug →
train	13–10	0.04	14%	17 Aug →
cache	13–3	0.04	11%	15 Aug →
cache	7–13	0.02	26%	15 Aug →
cache	13–5	0.15	17%	15 Aug →
cache	3–6	0.09	23%	15 Aug →
inferno	3–13	-0.05	22%	2 Aug →
ancient	13–6	0.07	25%	2 Aug →
cache	13–4	0.00	18%	2 Aug →
cache	10–13	0.07	22%	2 Aug →
anubis	13–6	0.07	27%	2 Aug →
mirage	11–1	-0.01	25%	2 Aug →
ancient	9–13	0.01	25%	2 Aug →
cache	10–13	0.04	3%	2 Aug →
nuke	13–11	0.05	26%	1 Aug →
dust2	6–0	0.03	50%	1 Aug →
anubis	13–5	0.10	19%	1 Aug →
cache	13–10	0.08	24%	1 Aug →
train	13–1	0.13	25%	1 Aug →
cache	7–13	0.01	33%	1 Aug →
cache	13–3	0.08	38%	1 Aug →
train	0–9	-0.06	21%	1 Aug →
dust2	13–2	0.17	26%	1 Aug →
anubis	9–13	0.07	18%	1 Aug →
mirage	10–13	0.10	27%	1 Aug →
ancient	16–14	0.05	17%	28 Jul →
ancient	13–3	0.15	32%	28 Jul →
cache	13–3	0.04	9%	28 Jul →
ancient	4–13	0.01	22%	27 Jul →
cache	13–3	0.10	20%	22 Jul →
anubis	8–13	0.06	21%	22 Jul →
ancient	4–13	0.02	19%	19 Jul →
ancient	9–13	0.03	17%	19 Jul →
inferno	10–13	-0.00	19%	19 Jul →
inferno	13–11	0.15	25%	18 Jul →
dust2	3–13	0.01	33%	18 Jul →
mirage	13–4	0.12	21%	18 Jul →
inferno	8–13	0.11	24%	18 Jul →
anubis	7–13	-0.01	19%	18 Jul →
mirage	13–8	0.08	22%	18 Jul →
ancient	13–4	0.04	21%	18 Jul →
anubis	13–16	0.05	19%	17 Jul →
debris	9–7	0.01	13%	14 Jul →
eldorado	9–6	0.04	11%	14 Jul →
mirage	9–13	-0.03	12%	14 Jul →
ancient	13–16	0.01	19%	14 Jul →
inferno	16–14	0.03	19%	13 Jul →
anubis	10–13	0.04	17%	13 Jul →
cache	9–13	0.09	25%	13 Jul →
inferno	13–2	0.14	31%	13 Jul →
cache	13–11	0.01	18%	13 Jul →
ancient	11–13	0.08	23%	9 Jul →
mirage	13–10	0.02	7%	9 Jul →
cache	16–12	-0.02	14%	9 Jul →
ancient	14–16	0.08	19%	8 Jul →
mirage	13–9	0.09	18%	5 Jul →
anubis	13–9	0.10	16%	5 Jul →
mirage	7–13	0.02	19%	5 Jul →
ancient	3–13	0.00	37%	5 Jul →
ancient	13–9	0.12	26%	5 Jul →
inferno	13–10	0.03	25%	5 Jul →
anubis	13–6	-0.01	17%	5 Jul →
mirage	10–13	-0.02	17%	5 Jul →
mirage	10–13	0.05	23%	5 Jul →
ancient	15–15	0.01	16%	5 Jul →
ancient	3–13	-0.01	26%	5 Jul →
ancient	8–13	0.04	36%	4 Jul →
mirage	13–5	0.07	26%	4 Jul →
inferno	13–10	0.10	36%	4 Jul →
ancient	13–8	0.03	21%	4 Jul →
ancient	13–9	0.04	10%	4 Jul →
mirage	13–5	0.06	35%	4 Jul →
cache	13–2	0.14	40%	4 Jul →
cache	13–11	0.06	23%	1 Jul →

Show all 100 matchesShow fewer

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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