mule — CS2 Stats

DE76561197987113573[U:1:26847845]Steam profile ↗✓ No bans

1,463Tracked matches48%Win rate2020Tracked since

2,931Hours in CS

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating24,999Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2306 of 13903 tracked

FaceitLevel 7 · 1,504 ELOTop 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning59

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLLLLLLWWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

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

Aim6.3

Aggression7.9

Utility6.5

Positioning5.9

Opening Duels4.1

Clutch5.0

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 b1t 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 56% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim6.3

Positioning5.9

Utility6.5

Mechanics7.1

Opening Duels4.1

Win Impact4.4

Composite 6.1/10 (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+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time621ms+27ms

first ⅓ avg 593ms → last ⅓ avg 621ms

Headshot accuracy15.0%−0.3%

first ⅓ avg 15.2% → last ⅓ avg 15.0%

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

0.08Best rating — anubis 8–13

13–1Biggest win — dust2

5Longest win streak

10–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 67% over 18anubisWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	32	14–18	44%	-0.03
anubis	D	18	6–12	33%	-0.03
ancient	S	18	12–6	67%	-0.04
cache	A	9	5–4	56%	-0.02
overpass	B	8	4–4	50%	-0.04
nuke	C	7	3–4	43%	-0.04
dust2	A	5	3–2	60%	0.01
mirage	—	3	1–2	33%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,818Lifetime kills

1.07K/D

6,572Matches

43.1%Match win rate

35.3%Headshot %

18.2%Shot accuracy · Top 25% of Pink band

18,082MVPs

2,931Hours (in match)

10,748Bombs planted

1,338Bombs defused

Most-used weapons

AWP38,458

AK-4731,672

M4A4 / M4A1-S26,635

P2506,158

P2000 / USP-S4,803

FAMAS4,157

Desert Eagle4,048

Galil AR3,072

Glock-182,887

Tec-92,268

Lifetime map wins

16,215inferno

10,954dust2

4,359nuke

2,009train

1,995cbble

1,283vertigo

310dust

108aztec

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

Faceit stats

Combat

622Matches

52%Win rate

0.94Avg K/D

67.0ADR

34%Headshot %

Clutches & streaks

45%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	45	64%	0.85	12.6
Inferno	45	64%	0.97	13.4
Anubis	34	50%	0.69	11.9
Dust2	16	31%	0.80	11.4
Mirage	15	60%	0.69	10.2
Overpass	15	67%	0.98	12.9
Cache	9	44%	0.84	12.7
Nuke	8	50%	0.84	11.8

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.

15.1%Headshot accuracy

35.6%Accuracy (enemy spotted)

33.2%Spray accuracy

82.0%Counter-strafing

10.0°Preaim

619msReaction time

36.6%T opening success

55.9%CT opening success

0.57Enemies flashed / flash

7.2%Flash assists

16.69HE damage / grenade

10.40Flashes / 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 36.5685% — below the 40% mark we flag

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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.00	9%	10 Aug →
cache	11–13	0.01	17%	10 Aug →
dust2	4–13	0.04	14%	3 Aug →
anubis	8–13	0.08	16%	3 Aug →
inferno	1–13	-0.08	5%	30 Jul →
anubis	4–13	-0.00	7%	29 Jul →
inferno	6–13	-0.02	16%	29 Jul →
ancient	16–13	0.03	16%	27 Jul →
ancient	13–8	-0.03	7%	27 Jul →
inferno	13–11	-0.00	10%	27 Jul →
inferno	13–9	0.02	11%	26 Jul →
cache	16–13	0.07	26%	26 Jul →
nuke	5–13	-0.02	9%	26 Jul →
cache	5–13	-0.10	25%	23 Jul →
anubis	13–7	-0.02	18%	23 Jul →
inferno	3–13	-0.05	28%	23 Jul →
ancient	2–13	-0.12	13%	23 Jul →
nuke	5–9	-0.04	21%	23 Jul →
ancient	15–15	-0.01	11%	22 Jul →
anubis	4–13	-0.03	16%	22 Jul →
inferno	6–9	-0.06	14%	22 Jul →
nuke	0–13	-0.10	7%	21 Jul →
nuke	13–3	0.02	19%	21 Jul →
anubis	13–10	-0.00	7%	20 Jul →
ancient	13–5	-0.02	18%	20 Jul →
cache	9–13	-0.03	21%	20 Jul →
ancient	2–13	-0.10	4%	18 Jul →
dust2	13–7	0.01	22%	18 Jul →
cache	13–5	-0.00	22%	18 Jul →
inferno	13–8	0.02	17%	18 Jul →
anubis	13–2	0.02	25%	18 Jul →
inferno	8–13	0.01	17%	18 Jul →
nuke	13–2	-0.02	8%	13 Jul →
inferno	13–10	0.02	18%	13 Jul →
anubis	7–13	-0.05	14%	13 Jul →
inferno	13–4	-0.07	21%	13 Jul →
inferno	2–9	-0.27	5%	13 Jul →
dust2	6–13	-0.07	27%	11 Jul →
inferno	6–13	-0.09	23%	11 Jul →
mirage	7–13	-0.08	12%	11 Jul →
inferno	3–13	-0.07	18%	11 Jul →
nuke	7–13	-0.06	11%	11 Jul →
dust2	13–4	0.03	23%	11 Jul →
inferno	13–6	0.00	16%	11 Jul →
anubis	9–13	-0.06	24%	11 Jul →
cache	13–6	-0.01	23%	11 Jul →
ancient	13–11	-0.05	14%	9 Jul →
cache	13–6	-0.02	13%	9 Jul →
anubis	5–13	-0.07	14%	7 Jul →
inferno	19–16	-0.05	13%	6 Jul →
inferno	13–4	0.06	15%	6 Jul →
ancient	13–10	-0.06	14%	5 Jul →
inferno	11–13	-0.05	13%	5 Jul →
inferno	18–22	-0.01	15%	2 Jul →
inferno	8–13	-0.03	15%	1 Jul →
cache	9–13	-0.09	13%	1 Jul →
inferno	13–11	0.03	19%	30 Jun →
inferno	13–9	-0.01	13%	29 Jun →
anubis	13–11	-0.02	16%	29 Jun →
cache	13–5	0.02	22%	28 Jun →
mirage	9–13	0.00	18%	28 Jun →
ancient	13–8	-0.03	21%	24 Jun →
nuke	13–9	-0.03	13%	24 Jun →
ancient	10–13	-0.06	26%	24 Jun →
anubis	10–13	-0.05	13%	23 Jun →
inferno	8–13	0.02	34%	23 Jun →
inferno	9–13	0.04	22%	16 Jun →
overpass	3–13	-0.10	0%	16 Jun →
inferno	16–13	-0.03	18%	16 Jun →
anubis	13–6	0.03	17%	16 Jun →
ancient	16–14	0.00	16%	16 Jun →
overpass	2–13	-0.10	9%	16 Jun →
overpass	5–13	-0.06	5%	15 Jun →
anubis	15–19	-0.07	14%	15 Jun →
ancient	13–8	-0.03	20%	15 Jun →
overpass	13–7	0.01	30%	15 Jun →
dust2	13–1	0.02	15%	14 Jun →
inferno	8–13	-0.04	16%	14 Jun →
anubis	11–13	-0.04	10%	14 Jun →
ancient	13–8	-0.00	28%	10 Jun →
inferno	13–10	-0.07	14%	10 Jun →
anubis	7–13	-0.08	19%	10 Jun →
inferno	8–8	-0.08	16%	9 Jun →
inferno	15–15	0.01	29%	8 Jun →
overpass	13–5	-0.02	10%	7 Jun →
inferno	13–10	-0.01	13%	7 Jun →
inferno	9–13	-0.01	15%	28 May →
ancient	13–1	0.03	23%	28 May →
overpass	16–14	-0.04	14%	28 May →
ancient	11–13	-0.05	15%	27 May →
anubis	7–13	-0.09	8%	27 May →
inferno	13–5	0.02	27%	27 May →
ancient	13–11	-0.06	20%	25 May →
overpass	10–13	-0.06	8%	25 May →
ancient	6–13	-0.08	14%	25 May →
inferno	8–13	-0.04	11%	25 May →
anubis	4–13	-0.11	6%	25 May →
overpass	16–14	0.02	19%	21 May →
anubis	13–11	-0.04	12%	21 May →
ancient	13–3	-0.03	15%	21 May →