Greenwood0301 — CS2 Stats

CA76561198066105878[U:1:105840150]Steam profile ↗✓ No bans

432Tracked matches41%Win rate2020Tracked since

2,309Hours in CS2Hrs last 2 wks

CSDB Rating3.4 Learning

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim36

Positioning33

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY46–42–12Last 10046%Win rateLWLTWLLWLW

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

Player DNA

Aim3.6

Aggression1.3

Utility4.1

Positioning3.3

Opening Duels0.0

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 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 606ms 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

Aim3.6

Positioning3.3

Utility4.1

Mechanics5.4

Opening Duels0.0

Win Impact1.9

Composite 3.4/10 (Learning), 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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time607ms−4ms

first ⅓ avg 611ms → last ⅓ avg 607ms

Headshot accuracy12.0%−1.9%

first ⅓ avg 13.9% → last ⅓ avg 12.0%

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

0.11Best rating — office 13–4

13–0Biggest win — agency

3Longest win streak

7–8In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 67% over 9anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	20	9–11	45%	-0.02
nuke	D	12	3–9	25%	-0.05
anubis	D	10	2–8	20%	-0.02
overpass	C	10	4–6	40%	-0.04
vertigo	S	9	6–3	67%	-0.01
palacio	B	6	3–3	50%	-0.02
office	A	5	3–2	60%	-0.01
warden	A	5	3–2	60%	-0.00
train	A	5	3–2	60%	-0.05
cache	—	3	1–2	33%	-0.05
italy	—	3	2–1	67%	-0.01
boulder	—	2	1–1	50%	-0.07
stronghold	—	2	1–1	50%	0.02
alpine	—	2	2–0	100%	-0.06
agency	—	2	1–1	50%	-0.05
golden	—	2	2–0	100%	0.05
mirage	—	1	0–1	0%	-0.06
dust2	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,455Lifetime kills

0.87K/D

3,144Matches

44.3%Match win rate

30.5%Headshot %

16.0%Shot accuracy · Top 25% of tracked players

5,095MVPs

1,259Hours (in match)

5,083Bombs planted

512Bombs defused

Most-used weapons

AK-4715,255

M4A4 / M4A1-S11,039

MAC-103,095

MP92,496

P2000 / USP-S2,286

Glock-182,052

AWP1,737

FAMAS1,656

P901,374

Five-SeveN1,184

Lifetime map wins

9,759inferno

3,926office

3,399dust2

1,719nuke

1,625train

875vertigo

213cbble

212lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.4%Headshot accuracy

28.8%Accuracy (enemy spotted)

30.8%Spray accuracy

74.1%Counter-strafing

11.8°Preaim

606msReaction time

14.8%T opening success

24.6%CT opening success

0.41Enemies flashed / flash

3.7%Flash assists

8.96HE damage / grenade

5.56Flashes / 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 12.441% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.414 — below the 0.5 mark we flag
Grenade Lineups →
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 14.8461% — 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.

20% win rate across 10 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	-0.05	19%	25 Aug →
vertigo	13–5	-0.04	6%	25 Aug →
inferno	8–13	-0.04	9%	25 Aug →
vertigo	12–12	-0.02	14%	27 Jul →
boulder	13–10	-0.09	8%	27 Jul →
anubis	0–10	-0.05	16%	23 Jul →
nuke	10–13	-0.07	20%	23 Jul →
inferno	4–0	0.06	0%	23 Jul →
boulder	6–13	-0.06	11%	23 Jul →
inferno	13–9	-0.00	18%	23 Jul →
office	4–13	-0.04	23%	23 Jul →
overpass	13–9	-0.05	10%	25 Jun →
anubis	10–13	-0.05	5%	25 Jun →
nuke	12–12	-0.00	9%	25 Jun →
vertigo	13–5	0.00	12%	25 Jun →
inferno	10–13	-0.03	13%	25 Jun →
cache	4–13	-0.06	8%	25 Jun →
cache	13–9	-0.02	6%	7 May →
stronghold	13–5	0.05	10%	29 Mar →
warden	13–4	0.03	14%	29 Mar →
inferno	12–12	-0.01	11%	29 Mar →
warden	13–11	0.06	26%	24 Feb →
inferno	7–13	-0.04	7%	24 Feb →
nuke	9–13	-0.08	9%	1 Feb →
anubis	9–13	-0.04	10%	30 Jan →
train	5–2	-0.08	12%	30 Jan →
stronghold	11–13	-0.01	16%	30 Jan →
anubis	3–13	-0.09	19%	28 Jan →
inferno	8–13	-0.04	9%	28 Jan →
inferno	11–13	0.04	17%	27 Jan →
nuke	13–4	-0.06	6%	27 Jan →
office	11–13	-0.06	10%	27 Jan →
train	9–13	-0.07	13%	26 Jan →
nuke	13–9	0.05	17%	26 Jan →
warden	7–13	-0.03	11%	25 Jan →
inferno	6–13	-0.04	12%	25 Jan →
alpine	13–11	-0.05	17%	25 Jan →
warden	9–13	-0.01	22%	23 Jan →
warden	3–0	-0.06	17%	23 Jan →
alpine	13–11	-0.07	24%	23 Jan →
palacio	12–12	-0.02	25%	18 Jan →
agency	9–13	-0.04	15%	18 Jan →
italy	13–10	0.05	11%	18 Jan →
overpass	13–11	0.02	7%	15 Jan →
vertigo	9–13	-0.05	13%	14 Jan →
agency	13–0	-0.06	10%	14 Jan →
golden	13–7	0.01	18%	14 Jan →
office	13–4	0.11	23%	5 Jan →
nuke	7–13	-0.11	7%	4 Jan →
inferno	5–13	-0.06	11%	4 Jan →
palacio	13–9	-0.06	13%	4 Jan →
overpass	4–13	-0.05	13%	3 Jan →
italy	13–9	0.03	18%	3 Jan →
italy	7–13	-0.10	9%	3 Jan →
anubis	11–13	-0.03	15%	2 Jan →
palacio	13–5	-0.00	10%	2 Jan →
train	13–8	-0.01	13%	2 Jan →
inferno	5–13	-0.07	9%	2 Jan →
inferno	13–9	-0.02	11%	2 Jan →
overpass	13–5	-0.05	5%	2 Jan →
anubis	13–8	0.03	8%	2 Jan →
overpass	11–13	-0.05	9%	2 Jan →
train	13–10	-0.05	20%	2 Jan →
office	13–4	-0.03	26%	2 Jan →
inferno	12–12	-0.05	10%	2 Jan →
vertigo	13–11	-0.03	6%	2 Jan →
inferno	13–7	0.03	13%	1 Jan →
anubis	12–12	0.07	15%	1 Jan →
vertigo	11–13	-0.07	17%	1 Jan →
nuke	13–8	0.07	9%	1 Jan →
overpass	8–13	-0.12	13%	1 Jan →
palacio	4–13	-0.03	9%	1 Jan →
golden	13–9	0.09	16%	1 Jan →
overpass	11–13	-0.08	20%	31 Dec →
vertigo	13–10	-0.00	20%	31 Dec →
train	9–13	-0.04	10%	31 Dec →
overpass	13–7	0.00	17%	31 Dec →
anubis	12–12	-0.04	6%	31 Dec →
anubis	13–11	0.01	10%	31 Dec →
palacio	13–8	-0.00	14%	30 Dec →
inferno	13–10	-0.06	13%	30 Dec →
nuke	12–12	-0.03	12%	30 Dec →
inferno	13–9	0.04	15%	28 Dec →
overpass	10–13	-0.06	14%	28 Dec →
nuke	12–12	0.01	19%	28 Dec →
nuke	5–13	-0.11	4%	22 Dec →
inferno	13–5	-0.04	8%	22 Dec →
office	13–11	-0.01	16%	22 Dec →
overpass	12–12	0.04	15%	17 Dec →
mirage	12–12	-0.06	7%	17 Dec →
nuke	8–8	-0.18	12%	8 Dec →
dust2	10–13	-0.06	13%	8 Dec →
inferno	6–13	-0.04	16%	8 Dec →
vertigo	13–3	0.05	15%	8 Dec →
inferno	13–10	0.01	27%	6 Dec →
anubis	11–13	-0.06	14%	6 Dec →
vertigo	13–8	0.04	14%	6 Dec →
nuke	8–13	-0.11	16%	6 Dec →
inferno	13–10	-0.04	18%	6 Dec →
palacio	8–13	-0.02	12%	6 Dec →