GreenSkidmark18 — CS2 Stats

US76561198091505682[U:1:131239954]Steam profile ↗✓ No bans

1,536Tracked matches26%Win rate2020Tracked since

4,142Hours in CS24Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

WingmanGold Nova III

Ladder ranks via Leetify

Performance scores

Aim81

Positioning64

Utility73

0–100 skill scores via Leetify.

Recent form

COLD39–49–12Last 10039%Win rateWLLLLWLLTL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

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

Aim8.1

Aggression8.9

Utility7.3

Positioning6.4

Opening Duels5.0

Clutch2.6

Strong CT-side openerEffective flashes

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 jL 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning6.4

Utility7.3

Mechanics7.6

Opening Duels5.0

Win Impact0.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time525ms−43ms

first ⅓ avg 568ms → last ⅓ avg 525ms

Headshot accuracy19.9%−1.5%

first ⅓ avg 21.3% → last ⅓ avg 19.9%

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 — train 13–4

13–1Biggest win — cache

5Longest win streak

4–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 58% over 12infernoWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	0.04
nuke	C	17	7–10	41%	0.03
cache	D	16	5–11	31%	0.03
ancient	D	15	4–11	27%	0.02
inferno	D	14	3–11	21%	-0.00
mirage	A	12	7–5	58%	0.06
train	—	2	1–1	50%	0.08
anubis	—	2	2–0	100%	0.11
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

203,792Lifetime kills

0.92K/D

5,197Matches

46.0%Match win rate · Top 50% of tracked players

58.7%Headshot % · Top 10% of tracked players

13.8%Shot accuracy · Top 50% of tracked players

16,144MVPs

7,617Hours (in match)

4,749Bombs planted

2,595Bombs defused

Most-used weapons

AK-47110,084

M4A4 / M4A1-S23,664

Desert Eagle16,024

AWP13,797

P2000 / USP-S10,896

Glock-184,446

Galil AR2,663

SSG 082,651

Knife2,408

MP92,367

Lifetime map wins

10,119dust2

8,151inferno

4,528nuke

2,711train

1,065vertigo

679cbble

145office

124lake

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

Faceit stats

Combat

538Matches

54%Win rate

1.27Avg K/D

83.3ADR

49%Headshot %

Clutches & streaks

33%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	57%	1.13	15.4
Inferno	40	50%	1.08	15.2
Nuke	35	54%	1.23	18.4
Anubis	34	35%	1.06	16.0
Ancient	33	55%	1.32	17.1
Dust2	30	53%	1.10	16.0
Overpass	9	33%	1.18	19.1
Cache	5	20%	1.21	18.6

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.

20.6%Headshot accuracy

33.0%Accuracy (enemy spotted)

36.4%Spray accuracy

84.0%Counter-strafing

8.6°Preaim

524msReaction time

37.5%T opening success

62.1%CT opening success

0.76Enemies flashed / flash

7.7%Flash assists

11.96HE damage / grenade

15.64Flashes / 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 37.5272% — 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.

21% win rate across 14 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	13–11	0.01	14%	27 Aug →
cache	6–13	0.05	19%	25 Aug →
ancient	6–13	0.03	16%	25 Aug →
inferno	8–13	-0.01	29%	25 Aug →
inferno	11–13	-0.02	27%	25 Aug →
dust2	13–3	0.15	26%	25 Aug →
cache	11–13	-0.00	18%	24 Aug →
inferno	10–13	-0.04	27%	24 Aug →
nuke	12–12	0.12	27%	24 Aug →
ancient	9–13	0.06	29%	24 Aug →
dust2	1–13	-0.06	13%	24 Aug →
dust2	7–13	0.00	17%	21 Aug →
inferno	7–13	-0.01	20%	21 Aug →
mirage	13–8	0.03	21%	21 Aug →
nuke	11–13	-0.02	20%	21 Aug →
cache	10–13	0.05	29%	20 Aug →
dust2	15–15	0.07	20%	19 Aug →
dust2	13–11	-0.00	14%	19 Aug →
train	13–4	0.17	21%	18 Aug →
dust2	13–9	0.05	19%	18 Aug →
cache	15–15	0.03	16%	11 Aug →
inferno	10–2	-0.03	7%	11 Aug →
dust2	8–13	0.08	20%	11 Aug →
nuke	7–13	-0.01	17%	10 Aug →
inferno	10–13	0.08	24%	9 Aug →
ancient	4–13	0.02	17%	9 Aug →
train	6–13	-0.01	19%	9 Aug →
mirage	7–13	0.03	25%	9 Aug →
cache	11–13	0.00	17%	9 Aug →
dust2	11–13	0.00	23%	9 Aug →
cache	10–13	0.04	13%	7 Aug →
nuke	8–0	-0.02	15%	7 Aug →
inferno	12–12	0.08	17%	7 Aug →
ancient	3–13	0.10	19%	6 Aug →
nuke	13–10	0.11	21%	5 Aug →
cache	8–13	0.03	36%	5 Aug →
mirage	13–11	0.07	22%	5 Aug →
ancient	13–3	0.02	12%	5 Aug →
mirage	10–13	-0.03	13%	5 Aug →
ancient	7–13	-0.02	12%	4 Aug →
ancient	9–13	-0.01	16%	3 Aug →
mirage	13–5	0.05	19%	3 Aug →
nuke	13–8	0.04	11%	3 Aug →
dust2	13–8	0.02	10%	3 Aug →
dust2	8–13	0.01	17%	2 Aug →
nuke	10–4	0.03	11%	2 Aug →
inferno	12–12	-0.00	18%	30 Jul →
mirage	12–12	0.12	24%	30 Jul →
cache	2–9	-0.06	71%	30 Jul →
dust2	13–9	0.04	12%	30 Jul →
nuke	6–13	0.04	0%	29 Jul →
ancient	0–5	-0.12	27%	29 Jul →
dust2	13–7	0.06	23%	29 Jul →
inferno	9–13	-0.00	23%	29 Jul →
nuke	8–13	0.01	9%	29 Jul →
ancient	10–13	0.06	12%	28 Jul →
nuke	10–13	0.07	15%	27 Jul →
dust2	3–13	-0.04	16%	27 Jul →
ancient	12–12	-0.01	20%	27 Jul →
cache	13–10	0.05	22%	27 Jul →
nuke	9–13	0.01	13%	27 Jul →
dust2	8–13	-0.02	24%	27 Jul →
mirage	13–7	0.05	19%	27 Jul →
ancient	10–13	-0.01	24%	27 Jul →
dust2	10–13	0.02	18%	27 Jul →
ancient	13–7	0.11	19%	27 Jul →
anubis	13–7	0.16	19%	27 Jul →
ancient	13–8	0.02	19%	26 Jul →
dust2	13–2	0.10	39%	26 Jul →
overpass	13–10	-0.04	30%	26 Jul →
inferno	12–12	-0.02	25%	26 Jul →
nuke	13–5	0.02	22%	26 Jul →
ancient	12–12	0.07	21%	26 Jul →
cache	13–1	0.14	13%	26 Jul →
inferno	12–12	0.01	26%	26 Jul →
dust2	13–7	0.02	20%	26 Jul →
cache	13–8	0.05	14%	26 Jul →
dust2	4–13	0.01	27%	25 Jul →
cache	7–13	0.09	18%	25 Jul →
nuke	13–2	0.14	29%	25 Jul →
ancient	13–10	0.02	11%	25 Jul →
cache	7–13	0.02	17%	25 Jul →
dust2	11–13	-0.01	33%	24 Jul →
mirage	13–6	0.04	24%	24 Jul →
mirage	13–4	0.11	25%	23 Jul →
nuke	8–13	-0.04	25%	23 Jul →
mirage	7–13	-0.01	20%	22 Jul →
anubis	13–7	0.07	20%	22 Jul →
dust2	13–3	0.12	21%	22 Jul →
inferno	15–15	-0.04	9%	21 Jul →
mirage	6–13	0.12	32%	21 Jul →
inferno	13–8	0.03	9%	20 Jul →
dust2	8–13	0.13	20%	20 Jul →
mirage	13–10	0.13	24%	20 Jul →
nuke	7–13	0.06	22%	20 Jul →
inferno	13–10	-0.03	15%	20 Jul →
cache	1–13	-0.11	18%	20 Jul →
nuke	13–9	0.01	23%	15 Jul →
nuke	12–12	-0.06	20%	14 Jul →
cache	13–11	0.07	14%	14 Jul →