EC 2.0 — CS2 Stats

PL76561198045167763[U:1:84902035]Steam profile ↗✓ No bans

1,590Tracked matches60%Win rate2020Tracked since

2,553Hours in CS

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating15,121Purple band · top ~27.9% of ranked players (population est.)

CSDB Leaderboard#5123 of 7846 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

15,121Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 15,121
Next: Pink band at 20,000 — 4,879 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim81

Positioning62

Utility60

0–100 skill scores via Leetify.

Recent form

HOT55–41–4Last 10055%Win rateWWWWWLWWLW

Last 10 vs previous 10: +30pp win rate · -0.05 avg rating

Player DNA

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

Aim8.1

Aggression8.5

Utility6.0

Positioning6.2

Opening Duels3.8

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 b1t 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim8.1

Positioning6.2

Utility6.0

Mechanics6.1

Opening Duels3.8

Win Impact8.3

Composite 6.7/10 (Solid), 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+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time552ms−78ms

first ⅓ avg 630ms → last ⅓ avg 552ms

Headshot accuracy21.5%+0.9%

first ⅓ avg 20.5% → 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

0.18Best rating — dust2 13–2

13–0Biggest win — dust2

5Longest win streak

W5Current streak

7–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 71% over 24nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	24	17–7	71%	0.00
dust2	C	23	10–13	43%	0.01
mirage	C	14	5–9	36%	-0.02
ancient	A	8	5–3	63%	-0.00
nuke	D	6	1–5	17%	-0.03
anubis	S	6	4–2	67%	0.01
inferno	A	5	3–2	60%	0.00
train	—	3	2–1	67%	-0.04
shelter	—	3	3–0	100%	0.08
office	—	2	2–0	100%	-0.01
vertigo	—	2	1–1	50%	0.04
italy	—	1	1–0	100%	0.06
debris	—	1	0–1	0%	-0.17
fachwerk	—	1	1–0	100%	0.01
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

144,553Lifetime kills

1.01K/D

6,790Matches

33.5%Match win rate

46.7%Headshot % · Top 50% of tracked players

14.5%Shot accuracy · Top 50% of tracked players

13,065MVPs

2,553Hours (in match)

4,094Bombs planted

1,420Bombs defused

Most-used weapons

AK-4755,791

M4A4 / M4A1-S27,198

AWP12,753

P2000 / USP-S7,914

Desert Eagle6,413

Glock-184,481

P2502,769

Galil AR2,700

FAMAS2,431

Five-SeveN2,192

Lifetime map wins

10,794dust2

6,521inferno

3,151nuke

2,043vertigo

1,638train

1,280cbble

236office

64italy

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

Faceit stats

Combat

152Matches

57%Win rate

1.07Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	75%	0.94	14.5
Inferno	3	67%	0.88	15.7
Mirage	3	33%	0.96	15.0
Vertigo	3	67%	1.23	18.3
Nuke	1	0%	0.47	7.0
Anubis	1	0%	0.83	15.0
Overpass	1	0%	0.77	20.0

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.

22.5%Headshot accuracy

37.1%Accuracy (enemy spotted)

41.2%Spray accuracy

77.5%Counter-strafing

9.8°Preaim

562msReaction time

32.1%T opening success

58.1%CT opening success

0.63Enemies flashed / flash

7.6%Flash assists

8.77HE damage / grenade

8.70Flashes / 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 32.1046% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	13–10	-0.04	30%	26 Aug →
nuke	2–0	-0.11	0%	26 Aug →
shelter	13–7	0.08	22%	26 Aug →
anubis	13–2	0.05	31%	25 Aug →
cache	13–2	0.02	18%	25 Aug →
nuke	5–13	-0.00	35%	25 Aug →
inferno	13–8	-0.01	20%	25 Aug →
dust2	13–10	0.02	20%	25 Aug →
mirage	2–13	-0.07	24%	24 Aug →
cache	13–8	0.05	16%	24 Aug →
mirage	13–10	-0.01	12%	24 Aug →
mirage	11–13	0.04	22%	24 Aug →
dust2	13–4	0.04	25%	24 Aug →
dust2	13–7	0.04	21%	24 Aug →
dust2	13–2	0.18	21%	24 Aug →
mirage	2–13	0.01	17%	24 Aug →
dust2	7–13	0.11	17%	24 Aug →
ancient	13–6	0.11	20%	24 Aug →
mirage	10–13	0.05	19%	24 Aug →
dust2	7–13	-0.04	22%	24 Aug →
mirage	10–13	-0.00	31%	24 Aug →
cache	13–4	0.01	15%	18 Aug →
nuke	6–13	0.03	27%	18 Aug →
ancient	13–5	0.06	14%	18 Aug →
mirage	13–4	0.02	19%	18 Aug →
mirage	5–13	0.01	19%	13 Aug →
dust2	7–13	0.01	27%	9 Aug →
italy	13–5	0.06	29%	5 Aug →
cache	2–13	-0.03	40%	5 Aug →
office	13–9	-0.01	27%	5 Aug →
dust2	11–13	-0.05	19%	5 Aug →
ancient	9–13	-0.07	22%	5 Aug →
anubis	13–11	0.06	11%	30 Jul →
ancient	8–13	-0.05	15%	30 Jul →
dust2	10–13	-0.05	20%	30 Jul →
dust2	13–5	-0.03	8%	30 Jul →
dust2	6–13	-0.05	15%	29 Jul →
debris	8–8	-0.17	8%	29 Jul →
dust2	13–9	0.06	20%	28 Jul →
ancient	9–13	-0.10	14%	28 Jul →
train	13–11	-0.01	13%	28 Jul →
dust2	5–13	-0.03	20%	28 Jul →
dust2	5–13	-0.05	15%	21 Jul →
cache	13–9	0.04	17%	21 Jul →
mirage	13–11	0.00	21%	20 Jul →
shelter	13–7	0.05	15%	15 Jul →
vertigo	4–13	-0.06	29%	15 Jul →
fachwerk	13–7	0.01	9%	15 Jul →
cache	13–7	0.00	40%	15 Jul →
dust2	5–13	-0.03	29%	13 Jul →
shelter	13–2	0.11	24%	13 Jul →
vertigo	13–7	0.13	28%	12 Jul →
cache	12–12	0.05	22%	10 Jul →
mirage	13–9	-0.04	14%	8 Jul →
inferno	13–9	0.07	45%	8 Jul →
cache	13–10	0.03	24%	8 Jul →
anubis	7–13	-0.01	26%	8 Jul →
inferno	4–13	-0.03	15%	6 Jul →
inferno	10–13	-0.02	16%	29 Jun →
mirage	7–13	-0.10	16%	26 Jun →
train	5–13	-0.07	19%	23 Jun →
mirage	13–8	-0.03	16%	23 Jun →
dust2	12–12	-0.09	33%	22 Jun →
dust2	7–13	0.01	24%	15 Jun →
nuke	11–13	-0.04	10%	15 Jun →
mirage	6–13	-0.09	2%	15 Jun →
nuke	3–13	-0.07	25%	9 Jun →
cache	12–12	-0.03	21%	7 Jun →
cache	13–7	0.02	21%	7 Jun →
cache	13–7	-0.03	29%	7 Jun →
anubis	5–13	-0.03	33%	7 Jun →
dust2	13–0	0.07	22%	1 Jun →
nuke	11–13	-0.01	16%	1 Jun →
ancient	13–9	-0.00	17%	1 Jun →
inferno	13–11	0.01	21%	1 Jun →
dust2	13–4	0.09	23%	1 Jun →
cache	13–8	-0.01	15%	30 May →
mirage	14–16	-0.03	15%	30 May →
anubis	13–6	0.00	23%	30 May →
dust2	13–9	-0.03	20%	30 May →
cache	6–13	-0.02	25%	25 May →
office	13–9	-0.01	24%	25 May →
cache	13–10	-0.04	19%	25 May →
dust2	8–13	-0.00	21%	24 May →
ancient	13–9	-0.01	11%	24 May →
anubis	13–11	-0.04	7%	24 May →
cache	13–2	0.06	32%	24 May →
cache	13–10	-0.01	28%	22 May →
cache	9–13	-0.02	15%	22 May →
cache	13–10	-0.02	9%	21 May →
cache	6–13	0.03	28%	21 May →
overpass	11–13	-0.04	30%	21 May →
dust2	7–13	-0.01	33%	21 May →
cache	13–1	0.02	25%	17 May →
cache	13–9	-0.04	21%	17 May →
cache	11–13	-0.01	12%	17 May →
cache	13–8	-0.01	21%	17 May →
ancient	13–8	0.05	11%	17 May →
cache	13–7	-0.02	18%	17 May →
dust2	13–11	0.03	13%	16 May →