nexinus — CS2 Stats

76561198062185940[U:1:101920212]VAC banned

1,378Tracked matches39%Win rate2020Tracked since

3,280Hours in CS0Hrs last 2 wks

CSDB Rating4.9 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim68

Positioning51

Utility35

0–100 skill scores via Leetify.

Recent form

COLD41–50–9Last 10041%Win rateLLLLWLWWLL

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

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

Aim6.8

Aggression6.2

Utility3.5

Positioning5.1

Opening Duels3.0

Limited utility dependence

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 85% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 623ms 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

Aim6.8

Positioning5.1

Utility3.5

Mechanics6.1

Opening Duels3.0

Win Impact1.4

Composite 4.9/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time614ms−23ms

first ⅓ avg 637ms → last ⅓ avg 614ms

Headshot accuracy15.9%−0.7%

first ⅓ avg 16.6% → last ⅓ avg 15.9%

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 — vertigo 13–6

13–0Biggest win — train

4Longest win streak

L4Current streak

10–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

vertigoBest map · 75% over 8trainWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	15	7–8	47%	0.03
overpass	C	12	5–7	42%	0.01
nuke	D	12	3–9	25%	-0.02
ancient	B	11	5–6	45%	0.04
dust2	B	11	5–6	45%	-0.01
vertigo	S	8	6–2	75%	0.04
train	D	6	1–5	17%	0.04
mirage	D	6	1–5	17%	-0.00
office	A	5	3–2	60%	0.01
anubis	—	4	1–3	25%	0.06
grail	—	3	1–2	33%	-0.01
brewery	—	2	2–0	100%	0.03
dogtown	—	2	1–1	50%	0.04
rooftop	—	1	0–1	0%	-0.19
golden	—	1	0–1	0%	-0.01
palacio	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Lifetime stats

92,536Lifetime kills

1.21K/D · Top 25% of tracked players

4,520Matches

43.0%Match win rate

38.3%Headshot %

17.8%Shot accuracy · Top 25% of tracked players

11,159MVPs

1,667Hours (in match)

4,258Bombs planted

943Bombs defused

Most-used weapons

AK-4726,314

M4A4 / M4A1-S18,133

AWP11,306

P2504,368

P2000 / USP-S4,115

P903,137

UMP-453,035

Glock-182,369

FAMAS1,977

Galil AR1,883

Lifetime map wins

10,989inferno

6,572dust2

2,022nuke

1,689vertigo

599train

546cbble

262office

188italy

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.

16.4%Headshot accuracy

36.7%Accuracy (enemy spotted)

40.1%Spray accuracy

77.4%Counter-strafing

9.9°Preaim

623msReaction time

37.8%T opening success

45.9%CT opening success

0.40Enemies flashed / flash

3.2%Flash assists

9.66HE damage / grenade

2.18Flashes / 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.

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 0.3974 — 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 37.7867% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	9–13	0.08	23%	12 Apr →
ancient	11–13	0.07	14%	12 Apr →
dust2	11–13	-0.00	17%	28 Mar →
overpass	3–13	0.02	13%	28 Mar →
ancient	13–7	-0.01	18%	20 Mar →
overpass	9–13	-0.00	19%	26 Oct →
vertigo	13–6	0.17	22%	26 Oct →
ancient	13–4	0.12	11%	22 Oct →
nuke	4–10	-0.03	14%	22 Oct →
dust2	5–13	0.03	15%	22 Oct →
train	6–13	0.08	17%	22 Oct →
anubis	6–13	0.07	25%	19 Oct →
anubis	13–10	0.10	12%	19 Oct →
inferno	13–8	0.03	19%	9 Oct →
dust2	13–3	0.01	9%	9 Oct →
rooftop	1–9	-0.19	4%	9 Oct →
dust2	6–13	-0.06	19%	5 Oct →
golden	11–13	-0.01	6%	3 Oct →
palacio	12–12	-0.02	18%	3 Oct →
mirage	4–13	-0.05	19%	3 Oct →
train	5–13	-0.04	19%	16 Sept →
overpass	16–14	-0.02	19%	16 Sept →
nuke	7–13	-0.04	9%	12 Sept →
inferno	13–9	-0.03	16%	12 Sept →
overpass	13–8	-0.01	18%	12 Sept →
inferno	16–14	-0.03	16%	12 Sept →
mirage	5–13	0.00	14%	10 Sept →
train	13–0	0.11	22%	10 Sept →
office	9–13	0.03	16%	10 Sept →
dust2	12–12	-0.03	16%	9 Sept →
ancient	4–13	0.02	14%	9 Sept →
ancient	13–11	0.01	13%	9 Sept →
grail	13–11	-0.01	15%	5 Sept →
office	13–4	0.04	30%	5 Sept →
ancient	16–13	0.01	11%	5 Sept →
grail	11–13	-0.02	9%	2 Sept →
grail	2–13	-0.02	5%	1 Sept →
nuke	6–13	-0.03	10%	24 Aug →
vertigo	6–13	0.07	17%	24 Aug →
inferno	5–13	0.02	9%	24 Aug →
overpass	4–13	-0.03	19%	24 Aug →
dust2	16–12	-0.00	15%	21 Aug →
dust2	9–13	-0.07	20%	21 Aug →
mirage	7–13	-0.02	22%	21 Aug →
ancient	13–6	0.07	14%	18 Aug →
office	13–10	0.01	10%	18 Aug →
inferno	9–13	0.04	21%	18 Aug →
train	8–13	-0.01	17%	18 Aug →
inferno	11–13	0.01	22%	18 Aug →
inferno	13–4	0.04	29%	18 Aug →
nuke	2–13	0.08	19%	18 Aug →
train	12–12	0.08	17%	17 Aug →
ancient	4–13	-0.01	19%	17 Aug →
vertigo	13–9	0.04	16%	17 Aug →
vertigo	13–6	-0.01	14%	15 Aug →
mirage	7–13	-0.05	10%	15 Aug →
overpass	13–4	0.00	12%	15 Aug →
ancient	11–13	0.05	10%	13 Aug →
nuke	12–12	0.02	15%	13 Aug →
overpass	2–9	-0.04	15%	13 Aug →
vertigo	5–9	-0.05	12%	13 Aug →
nuke	4–9	-0.06	23%	13 Aug →
inferno	5–9	0.05	16%	13 Aug →
nuke	13–1	0.04	19%	12 Aug →
mirage	16–14	0.02	16%	12 Aug →
inferno	13–10	0.04	16%	12 Aug →
overpass	12–12	-0.03	16%	11 Aug →
nuke	12–12	0.02	5%	11 Aug →
ancient	11–13	0.00	12%	11 Aug →
inferno	8–13	-0.01	14%	11 Aug →
train	12–12	0.03	29%	11 Aug →
dust2	13–9	0.01	18%	7 Aug →
overpass	8–13	0.04	20%	6 Aug →
inferno	8–13	-0.01	13%	6 Aug →
dust2	6–13	-0.06	28%	6 Aug →
overpass	13–1	0.10	22%	6 Aug →
office	11–13	0.05	15%	5 Aug →
office	13–11	-0.05	17%	5 Aug →
anubis	7–13	-0.02	11%	5 Aug →
dust2	13–8	0.04	15%	5 Aug →
mirage	12–12	0.08	18%	5 Aug →
ancient	4–13	0.05	15%	5 Aug →
brewery	9–4	-0.03	3%	5 Aug →
nuke	1–9	-0.29	20%	5 Aug →
vertigo	9–7	0.05	25%	5 Aug →
inferno	9–3	0.11	14%	5 Aug →
dogtown	5–9	-0.01	16%	5 Aug →
overpass	9–3	0.13	14%	5 Aug →
dogtown	9–2	0.10	19%	5 Aug →
brewery	9–2	0.10	18%	5 Aug →
nuke	4–9	-0.21	8%	5 Aug →
vertigo	9–7	-0.03	14%	5 Aug →
inferno	8–8	0.07	25%	5 Aug →
vertigo	13–4	0.09	15%	4 Aug →
overpass	8–13	-0.03	12%	4 Aug →
inferno	12–16	0.05	19%	24 Jul →
nuke	13–11	0.11	18%	24 Jul →
inferno	13–11	0.11	19%	22 Jul →
dust2	13–9	0.04	19%	22 Jul →
nuke	13–3	0.14	19%	22 Jul →