TheEdwag — CS2 Stats

76561198173451535[U:1:213185807]

602Tracked matches48%Win rate2021Tracked since

1,167Hours in CS2Hrs last 2 wks

CSDB Rating6.2 SolidClutch Specialist

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning52

Utility58

0–100 skill scores via Leetify.

Recent form

COLD51–42–7Last 10051%Win rateTLLLLLLWLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim7.5

Aggression6.0

Utility5.8

Positioning5.2

Opening Duels2.5

Clutch7.6

Excellent counter-strafingReliable in 1v1s

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 Twistzz 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

Reaction time. 598ms 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

Aim7.5

Positioning5.2

Utility5.8

Mechanics8.7

Opening Duels2.5

Win Impact4.4

Composite 6.2/10 (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 rating0.01−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time606ms−29ms

first ⅓ avg 635ms → last ⅓ avg 606ms

Headshot accuracy16.2%−4.9%

first ⅓ avg 21.1% → last ⅓ avg 16.2%

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 — overpass 13–5

13–2Biggest win — ancient

7Longest win streak

2–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

overpassBest map · 70% over 10infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	9–10	47%	0.02
dust2	S	18	12–6	67%	0.02
cache	B	13	6–7	46%	0.01
inferno	C	11	4–7	36%	0.02
anubis	A	11	6–5	55%	0.01
overpass	S	10	7–3	70%	0.06
vertigo	C	7	3–4	43%	0.06
mirage	C	5	2–3	40%	-0.01
ancient	—	4	2–2	50%	0.01
office	—	1	0–1	0%	-0.08
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,467Lifetime kills

1.16K/D · Top 50% of tracked players

1,697Matches

42.3%Match win rate

49.3%Headshot % · Top 50% of tracked players

8.0%Shot accuracy

2,870MVPs

502Hours (in match)

1,033Bombs planted

476Bombs defused

Most-used weapons

AK-478,587

M4A4 / M4A1-S5,310

AWP1,537

P2000 / USP-S1,281

P250936

Glock-18935

MP9907

MAC-10901

Desert Eagle844

Galil AR843

Lifetime map wins

2,343dust2

1,669nuke

1,603inferno

1,079vertigo

321train

54office

17lake

13stmarc

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

Faceit stats

Combat

18Matches

50%Win rate

1.09Avg K/D

71.1ADR

49%Headshot %

Clutches & streaks

58%1v1 clutch win

25%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	3	33%	1.01	17.7
Inferno	3	0%	1.08	18.7
Anubis	3	67%	1.40	12.3
Train	2	100%	0.96	9.5
Dust2	2	100%	1.20	13.0
Mirage	2	0%	1.02	15.5
Ancient	1	100%	0.88	14.0
Overpass	1	100%	1.21	17.0

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.

16.1%Headshot accuracy

35.7%Accuracy (enemy spotted)

39.2%Spray accuracy

89.0%Counter-strafing

10.0°Preaim

598msReaction time

33.1%T opening success

46.7%CT opening success

0.64Enemies flashed / flash

7.5%Flash assists

6.98HE damage / grenade

9.95Flashes / 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 33.0775% — below the 40% mark we flag

Spend your practice time on Inferno

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 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	0.03	16%	3 Aug →
ancient	11–13	0.01	8%	21 Jun →
dust2	7–13	-0.04	24%	21 Jun →
inferno	2–13	0.01	19%	20 Jun →
nuke	3–13	-0.03	21%	20 Jun →
inferno	10–13	-0.01	9%	20 Jun →
cache	7–13	-0.01	2%	20 Jun →
dust2	13–9	0.04	22%	19 Jun →
overpass	2–13	-0.05	9%	19 Jun →
vertigo	13–4	0.13	17%	18 Jun →
nuke	9–13	0.05	19%	18 Jun →
dust2	13–10	0.04	13%	16 Jun →
nuke	7–13	-0.00	23%	8 Jun →
dust2	13–7	-0.03	11%	8 Jun →
cache	10–13	-0.02	12%	7 Jun →
vertigo	13–8	0.09	18%	7 Jun →
cache	5–13	0.03	14%	1 Jun →
anubis	11–13	0.07	29%	31 May →
anubis	1–13	-0.07	18%	31 May →
cache	7–2	0.01	6%	31 May →
nuke	13–6	0.02	18%	31 May →
nuke	10–13	-0.01	11%	30 May →
anubis	13–6	0.07	13%	30 May →
dust2	13–9	-0.03	6%	24 May →
cache	13–10	-0.02	30%	24 May →
nuke	13–8	0.01	20%	24 May →
mirage	13–3	-0.03	18%	23 May →
anubis	5–13	-0.04	18%	22 May →
cache	13–4	-0.02	10%	22 May →
dust2	13–7	0.00	23%	17 May →
vertigo	7–13	-0.00	24%	17 May →
cache	11–13	0.05	18%	16 May →
cache	11–13	0.07	17%	16 May →
nuke	12–12	0.01	15%	10 May →
cache	6–13	-0.05	10%	4 May →
inferno	10–13	0.04	13%	4 May →
cache	2–13	-0.02	8%	4 May →
cache	13–9	0.04	24%	3 May →
cache	13–6	-0.04	17%	2 May →
cache	13–9	0.08	33%	2 May →
ancient	13–2	0.04	13%	26 Apr →
inferno	13–7	-0.06	12%	26 Apr →
vertigo	12–12	0.01	23%	25 Apr →
mirage	11–13	0.05	23%	19 Apr →
nuke	13–8	0.00	22%	6 Apr →
dust2	7–13	-0.06	13%	6 Apr →
overpass	13–7	0.04	17%	4 Apr →
nuke	2–13	0.08	43%	4 Apr →
nuke	13–6	0.11	27%	25 Mar →
vertigo	11–13	0.01	8%	22 Mar →
overpass	13–4	0.09	33%	21 Mar →
office	5–13	-0.08	33%	21 Mar →
nuke	13–10	0.06	33%	12 Mar →
nuke	13–11	0.00	17%	26 Feb →
ancient	13–10	0.03	18%	21 Feb →
anubis	15–15	0.05	17%	21 Feb →
mirage	10–13	-0.02	14%	21 Feb →
overpass	10–13	-0.05	8%	20 Feb →
anubis	13–9	0.03	22%	20 Feb →
overpass	13–7	0.10	20%	20 Feb →
anubis	16–13	-0.04	6%	20 Feb →
mirage	16–12	-0.02	18%	18 Feb →
overpass	13–9	0.05	10%	16 Feb →
dust2	13–8	-0.01	19%	16 Feb →
anubis	13–7	0.06	12%	16 Feb →
ancient	6–13	-0.04	41%	15 Feb →
nuke	13–9	0.07	29%	15 Feb →
inferno	13–10	0.10	31%	15 Feb →
nuke	13–2	0.05	29%	15 Feb →
overpass	13–8	0.16	29%	14 Feb →
inferno	7–13	-0.02	33%	14 Feb →
overpass	8–13	0.08	16%	14 Feb →
dust2	8–13	0.04	17%	14 Feb →
mirage	15–15	-0.01	20%	14 Feb →
inferno	6–9	-0.15	15%	14 Feb →
inferno	9–2	0.15	35%	14 Feb →
anubis	13–8	-0.00	13%	11 Feb →
overpass	13–8	0.04	25%	11 Feb →
dust2	13–4	0.09	11%	8 Feb →
overpass	13–5	0.17	25%	1 Feb →
nuke	9–13	-0.08	32%	1 Feb →
dust2	13–7	0.06	23%	31 Jan →
anubis	7–13	-0.02	27%	31 Jan →
train	12–12	-0.01	16%	11 Jan →
dust2	13–9	0.08	35%	11 Jan →
inferno	10–13	0.00	27%	3 Jan →
dust2	13–16	-0.03	22%	3 Jan →
vertigo	13–10	0.06	12%	17 Dec →
dust2	13–8	0.02	11%	17 Dec →
nuke	9–13	-0.04	17%	17 Dec →
nuke	7–13	-0.01	14%	15 Dec →
anubis	13–10	-0.02	18%	15 Dec →
dust2	13–3	0.12	30%	6 Dec →
nuke	13–11	0.09	22%	6 Dec →
vertigo	7–13	0.10	15%	30 Nov →
dust2	12–12	0.06	13%	30 Nov →
inferno	9–13	0.06	17%	30 Nov →
nuke	8–13	0.04	13%	26 Nov →
dust2	13–4	0.06	17%	21 Nov →
inferno	13–7	0.11	14%	21 Nov →