Nexii — CS2 Stats

76561199102406785[U:1:1142141057]

1,637Tracked matches63%Win rate2021Tracked since

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating25,585Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#1100 of 8123 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning54

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY61–39Last 10061%Win rateLWLLLWWLWW

Last 10 vs previous 10: -10pp win rate · -0.09 avg rating

Player DNA

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

Aim8.9

Aggression6.9

Utility5.1

Positioning5.4

Opening Duels2.2

Clutch4.4

Sharp aimerLimited 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 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Reaction time. 601ms 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

Aim8.9

Positioning5.4

Utility5.1

Mechanics6.3

Opening Duels2.2

Win Impact9.4

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time612ms+31ms

first ⅓ avg 581ms → last ⅓ avg 612ms

Headshot accuracy17.2%−0.0%

first ⅓ avg 17.2% → last ⅓ avg 17.2%

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

0.14Best rating — ancient 13–5

13–0Biggest win — mirage

16Longest win streak

8–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 75% over 20anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	11–11	50%	-0.00
mirage	S	20	15–5	75%	0.02
inferno	S	17	12–5	71%	0.02
ancient	A	12	7–5	58%	0.01
nuke	S	10	7–3	70%	-0.01
anubis	D	9	3–6	33%	0.02
cache	S	7	5–2	71%	0.00
overpass	—	2	1–1	50%	0.01
office	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches

63%Win rate

1.45Avg K/D

100.5ADR

47%Headshot %

Clutches & streaks

42%1v1 clutch win

27%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	67%	1.41	19.9
Dust2	27	52%	1.27	17.9
Anubis	16	75%	1.77	18.3
Ancient	16	50%	1.50	19.4
Nuke	7	100%	1.50	21.0
Inferno	5	40%	1.48	20.0

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.

17.1%Headshot accuracy

40.7%Accuracy (enemy spotted)

55.7%Spray accuracy

78.5%Counter-strafing

7.7°Preaim

601msReaction time

34.7%T opening success

43.1%CT opening success

0.69Enemies flashed / flash

8.6%Flash assists

8.90HE damage / grenade

4.91Flashes / 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 34.7312% — 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.

33% win rate across 9 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
anubis	5–13	-0.05	35%	12 Aug →
mirage	13–2	-0.01	20%	12 Aug →
dust2	2–13	-0.03	24%	11 Aug →
dust2	3–9	-0.14	17%	9 Aug →
mirage	3–5	-0.01	24%	9 Aug →
cache	13–7	-0.04	14%	8 Aug →
inferno	13–10	-0.00	10%	7 Aug →
nuke	0–13	-0.07	9%	7 Aug →
nuke	13–5	-0.00	18%	7 Aug →
mirage	13–7	0.03	13%	7 Aug →
dust2	3–13	-0.00	26%	7 Aug →
ancient	13–1	0.03	24%	7 Aug →
ancient	8–13	0.01	19%	7 Aug →
inferno	13–8	0.02	25%	6 Aug →
cache	13–10	0.08	17%	5 Aug →
ancient	13–5	0.14	14%	5 Aug →
inferno	13–4	0.09	10%	5 Aug →
mirage	11–13	0.06	15%	5 Aug →
mirage	8–13	0.03	13%	5 Aug →
inferno	13–8	0.08	12%	5 Aug →
ancient	13–9	0.04	20%	5 Aug →
nuke	13–7	0.04	9%	5 Aug →
ancient	13–6	0.10	12%	5 Aug →
dust2	13–8	-0.02	22%	4 Aug →
mirage	13–9	-0.04	21%	3 Aug →
cache	13–11	0.03	13%	3 Aug →
anubis	13–1	0.07	11%	3 Aug →
inferno	3–13	0.01	20%	3 Aug →
mirage	13–2	-0.02	11%	3 Aug →
anubis	9–13	0.04	22%	3 Aug →
anubis	9–13	-0.01	11%	2 Aug →
dust2	9–13	0.04	23%	2 Aug →
ancient	10–13	-0.01	15%	2 Aug →
inferno	13–6	0.02	28%	1 Aug →
anubis	7–13	-0.01	23%	31 Jul →
inferno	13–7	0.01	5%	31 Jul →
cache	4–13	-0.06	0%	30 Jul →
ancient	16–14	0.01	8%	30 Jul →
anubis	13–5	0.08	11%	30 Jul →
mirage	13–7	0.09	19%	30 Jul →
dust2	4–13	-0.06	23%	29 Jul →
anubis	14–16	0.01	24%	29 Jul →
nuke	13–10	-0.04	17%	29 Jul →
mirage	13–10	0.07	14%	28 Jul →
mirage	13–10	0.05	16%	28 Jul →
dust2	13–10	0.08	15%	25 Jul →
cache	13–6	0.03	16%	25 Jul →
nuke	13–6	0.03	18%	25 Jul →
dust2	13–2	0.06	24%	25 Jul →
cache	6–13	-0.04	30%	25 Jul →
dust2	6–13	0.00	33%	25 Jul →
cache	13–4	0.03	26%	25 Jul →
ancient	9–13	0.03	26%	25 Jul →
anubis	11–13	0.08	21%	25 Jul →
mirage	13–9	0.06	24%	25 Jul →
dust2	5–13	0.03	28%	25 Jul →
anubis	13–2	-0.03	11%	25 Jul →
mirage	13–9	0.01	18%	24 Jul →
dust2	13–5	-0.00	21%	24 Jul →
inferno	13–9	0.01	18%	24 Jul →
ancient	7–13	-0.05	12%	24 Jul →
inferno	13–8	0.06	5%	12 Jul →
office	5–13	-0.07	33%	12 Jul →
nuke	4–13	0.01	30%	12 Jul →
inferno	2–9	0.00	15%	9 Jul →
inferno	13–2	0.00	7%	28 Jun →
dust2	13–6	0.05	10%	27 Jun →
dust2	11–13	-0.01	30%	27 Jun →
mirage	13–7	0.01	16%	22 Jun →
mirage	13–0	0.01	36%	18 May →
ancient	13–1	-0.04	0%	18 May →
mirage	13–0	0.03	8%	18 May →
mirage	13–4	0.10	24%	18 May →
dust2	13–0	0.00	0%	18 May →
mirage	2–0	0.02	0%	18 May →
mirage	13–0	-0.00	30%	18 May →
dust2	13–3	0.01	25%	18 May →
nuke	13–0	-0.00	8%	18 May →
inferno	13–0	0.04	7%	18 May →
dust2	13–0	0.03	18%	18 May →
dust2	13–2	0.06	14%	18 May →
dust2	13–0	0.01	25%	18 May →
inferno	13–11	0.01	14%	18 May →
nuke	13–11	-0.07	5%	18 May →
ancient	5–13	-0.03	28%	18 May →
inferno	2–13	-0.07	13%	18 May →
inferno	13–5	0.04	18%	18 May →
overpass	13–11	-0.01	32%	17 May →
mirage	11–13	0.00	22%	17 May →
overpass	11–13	0.03	14%	17 May →
dust2	0–13	-0.13	38%	16 May →
inferno	6–13	-0.04	13%	16 May →
nuke	3–3	-0.01	7%	16 May →
dust2	8–13	-0.03	32%	16 May →
dust2	8–13	-0.03	27%	16 May →
nuke	13–10	-0.02	11%	15 May →
ancient	4–3	-0.14	0%	15 May →
mirage	4–13	-0.05	19%	15 May →
dust2	13–11	0.03	18%	15 May →
inferno	3–13	-0.01	21%	15 May →