SussyPlus — CS2 Stats

76561198257547171[U:1:297281443]

782Tracked matches37%Win rate2025Tracked since

385Hours in CS

CSDB Rating3.5 Learning

Ladder ranks via Leetify

Performance scores

Aim41

Positioning41

Utility12

0–100 skill scores via Leetify.

Recent form

STEADY45–45–10Last 10045%Win rateLLWLLWTWWW

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

Player DNA

Aim4.1

Aggression5.1

Utility1.2

Positioning4.1

Opening Duels0.9

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 73% playstyle similarity

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

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. 659ms 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

Aim4.1

Positioning4.1

Utility1.2

Mechanics7.0

Opening Duels1.1

Win Impact0.7

Composite 3.5/10 (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-0.02−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time655ms−34ms

first ⅓ avg 689ms → last ⅓ avg 655ms

Headshot accuracy10.5%+0.2%

first ⅓ avg 10.3% → last ⅓ avg 10.5%

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

0.19Best rating — anubis 13–8

13–1Biggest win — anubis

5Longest win streak

L2Current streak

2–4In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 67% over 12nukeWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	18	8–10	44%	-0.03
dust2	C	15	6–9	40%	0.02
nuke	C	14	5–9	36%	-0.00
inferno	S	12	8–4	67%	-0.00
anubis	A	11	6–5	55%	0.01
overpass	C	9	4–5	44%	0.02
ancient	C	5	2–3	40%	-0.05
vertigo	C	5	2–3	40%	-0.04
cache	—	3	0–3	0%	-0.05
office	—	3	2–1	67%	0.04
train	—	3	1–2	33%	0.07
poseidon	—	1	1–0	100%	0.10
alpine	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,838Lifetime kills

1.58K/D · Top 5% of tracked players

1,123Matches

41.9%Match win rate

57.7%Headshot % · Top 25% of tracked players

0.0%Shot accuracy

1,539MVPs

385Hours (in match)

615Bombs planted

432Bombs defused

Most-used weapons

AK-4719,947

M4A4 / M4A1-S4,335

MP72,374

P2000 / USP-S695

Glock-18643

FAMAS447

AWP353

MAC-10274

MP9266

Desert Eagle149

Lifetime map wins

2,010dust2

1,226nuke

1,075inferno

503vertigo

280train

200office

6italy

1ar_shoots

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.

10.6%Headshot accuracy

29.0%Accuracy (enemy spotted)

29.0%Spray accuracy

81.7%Counter-strafing

9.1°Preaim

659msReaction time

39.1%T opening success

27.7%CT opening success

0.29Enemies flashed / flash

3.8%Flash assists

4.90HE damage / grenade

1.20Flashes / 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 10.5782% — 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 0.293 — 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 39.0743% — below the 40% mark we flag

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	-0.02	13%	20 Jun →
dust2	10–13	-0.01	11%	2 Jun →
anubis	13–8	-0.01	6%	2 Jun →
dust2	10–13	-0.03	9%	21 May →
ancient	10–13	-0.09	5%	14 May →
mirage	13–5	-0.02	9%	14 May →
mirage	12–12	-0.11	12%	10 May →
overpass	13–5	0.04	8%	10 May →
dust2	13–2	0.04	10%	10 May →
inferno	13–3	-0.02	17%	10 May →
cache	9–13	0.00	15%	10 May →
cache	7–13	-0.13	0%	10 May →
nuke	13–7	-0.04	9%	25 Apr →
mirage	9–13	-0.05	8%	25 Apr →
nuke	11–13	0.01	14%	19 Apr →
anubis	10–13	-0.00	4%	19 Apr →
nuke	12–12	-0.04	11%	17 Apr →
ancient	4–13	-0.03	10%	17 Apr →
anubis	13–1	-0.02	15%	17 Apr →
vertigo	1–13	-0.09	13%	12 Apr →
overpass	8–13	0.01	10%	12 Apr →
inferno	13–10	-0.02	21%	12 Apr →
mirage	11–13	-0.07	11%	12 Apr →
office	10–13	-0.03	20%	9 Apr →
nuke	6–13	0.02	12%	9 Apr →
overpass	13–8	0.09	5%	9 Apr →
inferno	9–13	0.08	14%	9 Apr →
mirage	7–13	-0.07	3%	6 Apr →
dust2	12–12	-0.01	13%	6 Apr →
ancient	13–3	-0.01	9%	6 Apr →
anubis	12–12	-0.01	12%	6 Apr →
anubis	13–8	0.19	10%	4 Apr →
dust2	8–13	-0.06	7%	4 Apr →
nuke	13–5	-0.03	8%	4 Apr →
inferno	13–11	-0.01	6%	4 Apr →
dust2	8–13	-0.02	7%	2 Apr →
anubis	7–13	-0.01	3%	2 Apr →
mirage	13–4	-0.02	13%	2 Apr →
anubis	13–2	0.05	20%	2 Apr →
mirage	8–13	-0.11	11%	1 Apr →
overpass	9–13	-0.02	8%	1 Apr →
inferno	13–8	-0.10	11%	1 Apr →
vertigo	13–7	-0.01	7%	1 Apr →
ancient	7–1	-0.06	4%	1 Apr →
nuke	13–4	-0.06	13%	1 Apr →
anubis	12–12	-0.04	0%	1 Apr →
vertigo	5–13	-0.14	6%	31 Mar →
mirage	13–9	-0.00	9%	31 Mar →
dust2	9–13	0.05	10%	31 Mar →
office	13–3	0.04	13%	31 Mar →
nuke	9–13	0.12	10%	31 Mar →
poseidon	9–2	0.10	14%	29 Mar →
inferno	8–8	-0.04	12%	29 Mar →
mirage	5–13	-0.03	7%	28 Mar →
mirage	13–7	0.06	9%	27 Mar →
dust2	12–12	0.03	11%	27 Mar →
mirage	12–12	-0.02	2%	18 Mar →
anubis	13–7	0.02	8%	18 Mar →
vertigo	13–5	0.04	11%	18 Mar →
inferno	13–8	-0.03	12%	18 Mar →
office	13–4	0.13	7%	18 Mar →
overpass	11–13	-0.04	5%	12 Mar →
nuke	12–0	0.01	7%	12 Mar →
dust2	3–13	-0.01	4%	12 Mar →
overpass	13–9	0.10	13%	10 Mar →
inferno	12–12	-0.02	5%	10 Mar →
mirage	7–13	-0.10	11%	7 Mar →
anubis	10–13	-0.03	8%	7 Mar →
dust2	13–1	0.06	24%	7 Mar →
inferno	13–1	0.03	7%	7 Mar →
mirage	13–5	-0.05	5%	7 Mar →
ancient	9–13	-0.05	4%	7 Mar →
nuke	5–13	-0.09	7%	2 Mar →
nuke	13–6	0.02	7%	2 Mar →
dust2	13–7	0.08	5%	2 Mar →
nuke	11–13	0.03	15%	26 Feb →
mirage	13–4	0.10	15%	26 Feb →
overpass	13–1	0.11	17%	26 Feb →
train	9–13	0.14	6%	26 Feb →
mirage	8–13	-0.05	20%	25 Feb →
dust2	13–7	-0.07	10%	25 Feb →
nuke	9–13	-0.01	10%	25 Feb →
anubis	13–6	0.01	14%	25 Feb →
alpine	3–13	-0.02	6%	25 Feb →
train	2–13	0.01	9%	25 Feb →
vertigo	7–13	-0.01	14%	25 Feb →
inferno	7–13	0.04	7%	25 Feb →
dust2	6–11	0.09	12%	25 Feb →
mirage	13–3	-0.02	7%	25 Feb →
train	13–6	0.05	13%	25 Feb →
dust2	13–8	0.07	13%	24 Feb →
inferno	13–3	0.05	17%	24 Feb →
mirage	13–11	0.10	8%	24 Feb →
overpass	1–13	-0.04	6%	24 Feb →
nuke	6–13	0.04	11%	24 Feb →
dust2	13–3	0.05	12%	24 Feb →
inferno	13–7	-0.00	10%	24 Feb →
mirage	5–13	-0.03	6%	24 Feb →
nuke	12–12	-0.01	9%	23 Feb →
overpass	10–13	-0.05	4%	23 Feb →