Edshot Machine — CS2 Stats

76561198150383103[U:1:190117375]Steam profile ↗✓ No bans

1,149Tracked matches56%Win rate2020Tracked since

CSDB Rating6.2 SolidHybrid Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning46

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLWTLWLTLW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim7.5

Aggression4.7

Utility5.0

Positioning4.6

Opening Duels1.7

Clutch0.0

Excellent counter-strafingStrong 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 90% playstyle similarity

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

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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 682ms 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

Positioning4.6

Utility5.0

Mechanics8.9

Opening Duels2.6

Win Impact6.9

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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time694ms+83ms

first ⅓ avg 611ms → last ⅓ avg 694ms

Headshot accuracy36.3%+11.8%

first ⅓ avg 24.5% → last ⅓ avg 36.3%

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

0.11Best rating — mirage 13–5

13–1Biggest win — mirage

5Longest win streak

11–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 83% over 6infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	17–16	52%	-0.01
dust2	C	29	11–18	38%	-0.03
nuke	C	15	6–9	40%	-0.02
inferno	D	7	2–5	29%	-0.03
cache	S	6	5–1	83%	-0.01
overpass	S	6	4–2	67%	-0.02
anubis	—	2	1–1	50%	0.00
vertigo	—	1	0–1	0%	-0.01
train	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

256Matches

52%Win rate

1.05Avg K/D

66.8ADR

49%Headshot %

Clutches & streaks

0%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	17	53%	0.90	15.1
Mirage	15	47%	0.78	13.1
Vertigo	5	60%	0.79	16.0
Anubis	3	100%	1.32	13.3
Inferno	3	0%	0.55	9.7
Nuke	2	50%	0.63	11.0
Ancient	1	100%	1.06	18.0

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.

37.1%Headshot accuracy

27.4%Accuracy (enemy spotted)

27.6%Spray accuracy

90.1%Counter-strafing

9.7°Preaim

682msReaction time

23.2%T opening success

50.7%CT opening success

0.69Enemies flashed / flash

11.3%Flash assists

11.46HE damage / grenade

6.58Flashes / 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 23.2347% — 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.

29% win rate across 7 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
cache	13–9	0.03	41%	28 Aug →
dust2	8–13	-0.06	41%	16 Jul →
mirage	13–6	0.04	55%	9 Jul →
cache	15–15	0.01	48%	9 Jul →
vertigo	6–9	-0.01	41%	29 Jun →
inferno	9–6	-0.04	45%	29 Jun →
nuke	6–9	-0.03	18%	29 Jun →
inferno	15–15	-0.01	33%	27 Jun →
nuke	7–13	-0.02	25%	27 Jun →
mirage	13–6	-0.03	57%	23 Jun →
mirage	13–7	0.00	38%	23 Jun →
dust2	13–16	-0.02	36%	22 Jun →
dust2	13–11	0.02	44%	22 Jun →
mirage	6–13	-0.06	29%	21 Jun →
overpass	13–7	-0.07	26%	19 Jun →
dust2	15–15	-0.04	24%	19 Jun →
mirage	3–13	-0.05	18%	18 Jun →
dust2	13–10	-0.05	38%	9 Jun →
dust2	0–13	-0.04	0%	9 Jun →
nuke	6–13	-0.01	47%	9 Jun →
mirage	10–13	-0.03	27%	9 Jun →
mirage	10–13	-0.07	42%	8 Jun →
mirage	8–13	-0.02	32%	17 May →
dust2	13–11	-0.01	25%	17 May →
mirage	13–11	-0.01	31%	15 May →
mirage	8–13	-0.03	54%	13 May →
cache	13–10	-0.05	33%	2 May →
cache	13–7	0.06	41%	2 May →
cache	13–4	-0.04	71%	29 Apr →
cache	13–6	-0.04	42%	29 Apr →
overpass	6–0	0.01	11%	19 Mar →
dust2	11–13	0.02	36%	19 Mar →
mirage	13–4	-0.06	50%	19 Mar →
mirage	13–10	0.01	26%	19 Mar →
dust2	8–13	-0.06	39%	17 Mar →
dust2	2–13	-0.08	30%	17 Mar →
dust2	13–11	0.01	22%	17 Mar →
mirage	7–13	-0.08	26%	16 Mar →
nuke	13–7	0.06	27%	16 Mar →
mirage	13–6	0.01	39%	16 Mar →
dust2	11–13	-0.00	28%	16 Mar →
dust2	8–13	-0.06	33%	16 Mar →
mirage	10–13	-0.03	25%	7 Jan →
nuke	13–7	-0.04	35%	7 Jan →
dust2	13–4	-0.02	33%	5 Jan →
mirage	11–13	0.04	26%	5 Jan →
dust2	11–13	-0.04	29%	3 Jan →
mirage	13–7	-0.05	21%	3 Jan →
nuke	6–13	-0.04	16%	2 Jan →
mirage	7–13	0.02	32%	2 Jan →
mirage	13–5	0.11	48%	2 Jan →
dust2	13–10	-0.01	18%	27 Dec →
nuke	8–13	-0.04	19%	27 Dec →
nuke	10–13	-0.05	32%	26 Dec →
dust2	7–13	-0.04	37%	24 Dec →
mirage	16–14	-0.03	22%	24 Dec →
dust2	3–13	-0.02	34%	24 Dec →
nuke	10–13	0.01	27%	21 Dec →
mirage	13–10	-0.03	18%	21 Dec →
mirage	6–13	0.05	29%	13 Dec →
dust2	13–9	-0.00	26%	13 Dec →
dust2	13–6	-0.06	13%	3 Dec →
overpass	9–13	-0.01	37%	3 Dec →
dust2	10–13	-0.05	32%	2 Dec →
mirage	11–13	-0.03	11%	2 Dec →
dust2	9–13	-0.04	47%	2 Dec →
overpass	13–11	-0.07	20%	1 Dec →
nuke	13–3	-0.05	18%	1 Dec →
nuke	10–13	0.04	18%	1 Dec →
mirage	13–6	0.03	29%	27 Aug →
dust2	9–13	0.01	39%	22 Aug →
mirage	13–16	-0.00	19%	16 Jul →
overpass	13–7	-0.02	29%	16 Jul →
overpass	10–13	0.02	34%	16 Jul →
nuke	11–13	-0.07	31%	13 Jul →
inferno	13–11	-0.02	41%	13 Jul →
mirage	13–7	0.06	29%	12 Jul →
dust2	5–13	-0.05	42%	12 Jul →
dust2	16–14	-0.05	18%	12 Jul →
inferno	8–13	-0.07	17%	12 Jul →
anubis	9–13	-0.04	24%	11 Jul →
dust2	13–7	-0.02	42%	11 Jul →
mirage	13–10	0.08	21%	10 Jul →
dust2	7–13	0.00	24%	10 Jul →
dust2	13–11	-0.02	37%	7 Jul →
nuke	13–8	-0.01	13%	30 Jun →
dust2	11–13	-0.04	9%	29 Jun →
mirage	11–13	-0.02	29%	29 Jun →
nuke	13–10	-0.03	22%	29 Jun →
nuke	13–11	-0.04	24%	29 Jun →
train	9–13	-0.04	9%	29 Jun →
mirage	7–13	-0.06	11%	29 Jun →
mirage	16–12	0.07	22%	29 Jun →
mirage	8–13	-0.01	19%	28 Jun →
mirage	13–11	-0.03	24%	28 Jun →
inferno	5–13	-0.01	18%	28 Jun →
anubis	13–9	0.04	22%	28 Jun →
inferno	10–13	-0.02	29%	28 Jun →
inferno	12–16	-0.06	28%	28 Jun →
mirage	13–1	0.05	19%	28 Jun →