Mr. Edgelord — CS2 Stats

GB76561199154272346[U:1:1194006618]Steam profile ↗

662Tracked matches55%Win rate2023Tracked since

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating22,636Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#8716 of 34604 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning39

Utility66

0–100 skill scores via Leetify.

Recent form

HOT50–46–4Last 10050%Win rateLWLWWLWWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.4

Aggression3.8

Utility6.6

Positioning3.9

Opening Duels0.1

Clutch2.6

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 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 46% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim6.4

Positioning3.9

Utility6.6

Mechanics6.6

Opening Duels2.0

Win Impact6.7

Composite 5.7/10 (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+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time589ms−25ms

first ⅓ avg 614ms → last ⅓ avg 589ms

Headshot accuracy14.3%+2.0%

first ⅓ avg 12.3% → last ⅓ avg 14.3%

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

0.12Best rating — dust2 2–6

13–1Biggest win — cache

4Longest win streak

7–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 64% over 11anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	11–10	52%	-0.02
cache	C	19	8–11	42%	-0.01
nuke	A	15	9–6	60%	-0.01
dust2	B	15	7–8	47%	-0.02
anubis	C	13	5–8	38%	-0.02
ancient	A	11	7–4	64%	-0.02
inferno	—	3	1–2	33%	-0.03
overpass	—	3	2–1	67%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches

62%Win rate

0.63Avg K/D

63.6ADR

44%Headshot %

Clutches & streaks

33%1v1 clutch win

40%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	67%	0.85	21.0
Cache	2	50%	0.43	7.5
Mirage	1	0%	0.31	5.0
Ancient	1	100%	0.60	9.0
Overpass	1	100%	0.69	9.0

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.

13.8%Headshot accuracy

33.4%Accuracy (enemy spotted)

37.8%Spray accuracy

79.8%Counter-strafing

9.3°Preaim

593msReaction time

14.7%T opening success

45.7%CT opening success

0.54Enemies flashed / flash

8.7%Flash assists

11.27HE damage / grenade

11.47Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7642% — below the 15% mark we flag
Aim Training →
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 14.7318% — 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.

38% win rate across 13 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
cache	4–13	0.00	12%	27 Aug →
mirage	13–8	-0.02	16%	27 Aug →
mirage	8–13	-0.08	17%	25 Aug →
cache	13–9	0.01	13%	24 Aug →
mirage	13–7	-0.03	4%	24 Aug →
mirage	3–13	-0.06	20%	24 Aug →
mirage	13–7	-0.01	12%	24 Aug →
inferno	13–9	-0.02	13%	23 Aug →
ancient	13–9	-0.03	7%	23 Aug →
anubis	13–10	0.02	18%	23 Aug →
cache	5–13	0.01	19%	23 Aug →
nuke	8–13	-0.07	13%	23 Aug →
dust2	13–11	0.01	16%	23 Aug →
anubis	13–2	0.08	19%	22 Aug →
nuke	13–8	-0.02	4%	22 Aug →
dust2	8–13	-0.05	9%	22 Aug →
ancient	16–14	-0.09	13%	20 Aug →
inferno	3–13	-0.04	23%	20 Aug →
ancient	1–7	0.04	21%	20 Aug →
mirage	7–13	0.03	11%	20 Aug →
mirage	13–10	-0.01	16%	19 Aug →
anubis	15–15	0.00	9%	19 Aug →
inferno	8–13	-0.04	17%	17 Aug →
ancient	4–13	-0.02	19%	17 Aug →
mirage	13–6	0.08	16%	17 Aug →
dust2	4–13	-0.04	14%	16 Aug →
cache	13–2	-0.00	13%	16 Aug →
dust2	8–13	-0.11	19%	16 Aug →
nuke	13–10	-0.00	11%	16 Aug →
cache	13–6	-0.01	9%	16 Aug →
ancient	14–16	-0.02	24%	16 Aug →
mirage	5–13	-0.08	17%	16 Aug →
ancient	13–4	-0.02	6%	16 Aug →
mirage	13–9	0.00	24%	16 Aug →
nuke	1–13	-0.07	14%	15 Aug →
cache	2–13	-0.00	14%	15 Aug →
nuke	5–13	-0.01	16%	11 Aug →
nuke	13–7	0.03	17%	11 Aug →
cache	9–13	0.01	22%	11 Aug →
cache	13–1	0.11	11%	11 Aug →
cache	13–9	-0.03	16%	10 Aug →
nuke	13–10	-0.01	16%	10 Aug →
cache	7–13	0.05	11%	8 Aug →
nuke	3–13	0.00	19%	7 Aug →
mirage	13–11	-0.03	12%	7 Aug →
cache	13–7	0.01	28%	28 Jul →
cache	8–13	0.01	11%	28 Jul →
cache	2–13	-0.04	11%	28 Jul →
cache	4–13	-0.07	6%	22 Jul →
cache	2–13	-0.09	6%	22 Jul →
cache	13–4	-0.01	25%	22 Jul →
dust2	13–6	0.05	24%	19 Jul →
ancient	13–11	0.02	13%	18 Jul →
mirage	13–11	-0.03	20%	5 Jul →
overpass	15–15	-0.00	13%	5 Jul →
anubis	11–13	-0.05	8%	5 Jul →
mirage	10–13	0.04	14%	5 Jul →
dust2	13–8	-0.02	17%	5 Jul →
mirage	6–13	-0.03	15%	4 Jul →
mirage	2–11	-0.09	21%	4 Jul →
cache	12–12	0.00	24%	4 Jul →
dust2	5–13	-0.08	5%	3 Jul →
nuke	13–6	-0.02	10%	3 Jul →
mirage	13–5	-0.08	25%	3 Jul →
dust2	13–10	-0.03	10%	3 Jul →
dust2	2–11	-0.04	17%	3 Jul →
nuke	13–8	0.00	10%	30 Jun →
dust2	4–13	-0.09	4%	30 Jun →
dust2	13–5	-0.01	6%	30 Jun →
dust2	13–5	0.01	20%	30 Jun →
anubis	16–12	0.02	12%	26 Jun →
anubis	11–13	-0.03	16%	24 Jun →
dust2	2–6	0.12	4%	24 Jun →
anubis	3–13	-0.03	7%	16 Jun →
overpass	13–8	-0.06	5%	16 Jun →
nuke	13–7	0.05	18%	16 Jun →
nuke	3–13	-0.03	0%	7 Jun →
anubis	16–13	-0.01	13%	7 Jun →
cache	13–10	-0.04	19%	28 May →
ancient	6–13	-0.07	17%	27 May →
nuke	1–13	-0.05	9%	27 May →
dust2	13–10	-0.04	10%	25 May →
dust2	6–13	-0.04	20%	25 May →
anubis	5–13	-0.05	16%	18 May →
cache	12–12	-0.04	6%	18 May →
mirage	13–8	-0.05	18%	26 Apr →
mirage	10–13	-0.01	17%	4 Apr →
anubis	11–13	-0.06	16%	4 Apr →
mirage	13–11	0.02	16%	25 Mar →
anubis	3–13	-0.10	13%	21 Mar →
ancient	13–4	0.02	12%	21 Mar →
nuke	13–4	0.07	14%	21 Mar →
mirage	11–13	0.02	4%	21 Mar →
nuke	13–6	-0.02	5%	21 Mar →
anubis	13–11	0.04	16%	21 Mar →
mirage	6–13	-0.05	32%	21 Mar →
anubis	11–13	-0.03	15%	20 Mar →
overpass	13–8	-0.09	10%	20 Mar →
ancient	13–10	-0.01	8%	20 Mar →
ancient	13–8	-0.01	9%	20 Mar →