✪ nINJA66 — CS2 Stats

BR76561198997474826[U:1:1037209098]Steam profile ↗

180Tracked matches62%Win rate2023Tracked since

704Hours in CS

CSDB Rating6.4 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim83

Positioning56

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWLLLLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

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

Aim8.3

Aggression7.3

Utility3.9

Positioning5.6

Opening Duels2.8

Clutch2.6

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 b1t 91% playstyle similarity

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

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

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. 616ms 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

Aim8.3

Positioning5.6

Utility3.9

Mechanics7.0

Opening Duels2.8

Win Impact8.8

Composite 6.4/10 (Solid), 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 rating0.03−0.03

first ⅓ avg 0.06 → last ⅓ avg 0.03

Reaction time629ms−19ms

first ⅓ avg 649ms → last ⅓ avg 629ms

Headshot accuracy27.6%−2.3%

first ⅓ avg 29.9% → last ⅓ avg 27.6%

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

0.18Best rating — anubis 13–6

13–0Biggest win — italy

7Longest win streak

10–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 71% over 7nukeWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	32	14–18	44%	0.03
dust2	B	30	14–16	47%	0.05
inferno	B	10	5–5	50%	0.01
ancient	S	7	5–2	71%	0.05
nuke	C	5	2–3	40%	0.08
overpass	—	4	2–2	50%	0.01
anubis	—	4	3–1	75%	0.08
office	—	3	3–0	100%	0.01
cache	—	3	0–3	0%	-0.01
train	—	1	0–1	0%	0.06
italy	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,412Lifetime kills

1.70K/D · Top 5% of tracked players

2,746Matches

33.2%Match win rate

48.1%Headshot % · Top 50% of tracked players

20.0%Shot accuracy · Top 5% of tracked players

3,704MVPs

704Hours (in match)

302Bombs planted

127Bombs defused

Most-used weapons

AWP24,820

AK-4722,219

M4A4 / M4A1-S9,239

Desert Eagle8,057

SSG 083,108

P2000 / USP-S2,137

Galil AR981

Glock-18976

Tec-9502

Knife489

Lifetime map wins

2,547office

2,193italy

1,676dust2

647militia

544inferno

349assault

242nuke

114vertigo

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

Faceit stats

Combat

9Matches

44%Win rate

1.02Avg K/D

84.5ADR

44%Headshot %

Clutches & streaks

33%1v1 clutch win

43%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	50%	1.11	14.0
Inferno	2	50%	0.93	14.5
Mirage	2	50%	0.97	23.0
Anubis	1	0%	0.90	18.0
Dust2	1	0%	1.65	28.0
Ancient	1	100%	0.58	7.0

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.

25.7%Headshot accuracy

36.2%Accuracy (enemy spotted)

36.5%Spray accuracy

81.3%Counter-strafing

7.9°Preaim

616msReaction time

37.6%T opening success

44.5%CT opening success

0.41Enemies flashed / flash

3.7%Flash assists

3.48HE damage / grenade

12.64Flashes / 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.

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 0.4059 — 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 37.5858% — 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.

40% win rate across 5 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
ancient	16–13	0.03	13%	19 Jul →
mirage	10–13	0.01	26%	1 Jul →
dust2	8–13	0.07	23%	1 Jul →
mirage	10–13	-0.01	25%	1 Jul →
train	10–13	0.06	21%	1 Jul →
ancient	13–7	0.06	37%	2 Jun →
overpass	13–11	0.06	29%	1 Jun →
anubis	13–6	0.18	34%	1 Jun →
inferno	13–11	-0.02	43%	31 May →
anubis	13–10	0.07	25%	30 May →
mirage	13–10	0.06	21%	28 May →
anubis	11–13	0.06	24%	27 May →
dust2	12–12	0.06	27%	27 May →
mirage	12–12	0.08	28%	27 May →
mirage	13–10	-0.08	12%	26 May →
mirage	16–14	0.05	30%	26 May →
inferno	9–13	0.00	26%	22 May →
inferno	13–4	0.04	21%	21 May →
dust2	10–13	-0.04	21%	21 May →
inferno	13–6	0.00	16%	21 May →
mirage	13–2	0.00	47%	20 May →
nuke	12–12	0.05	19%	20 May →
nuke	10–13	0.05	23%	20 May →
ancient	13–6	0.03	19%	19 May →
inferno	15–15	-0.04	9%	19 May →
ancient	13–8	0.03	24%	19 May →
dust2	4–13	-0.03	29%	19 May →
ancient	8–13	0.16	33%	19 May →
italy	13–0	0.04	38%	19 May →
office	13–3	0.01	56%	19 May →
dust2	11–13	-0.01	31%	19 May →
mirage	13–10	0.03	43%	18 May →
inferno	13–3	0.08	35%	15 May →
inferno	3–13	-0.03	12%	15 May →
mirage	0–4	-0.00	33%	15 May →
mirage	13–4	0.10	36%	14 May →
overpass	4–13	-0.07	40%	13 May →
anubis	13–11	0.02	15%	13 May →
office	13–6	-0.02	9%	13 May →
mirage	1–10	-0.03	10%	13 May →
office	13–6	0.05	33%	13 May →
mirage	4–13	0.09	48%	13 May →
mirage	9–13	0.04	11%	12 May →
dust2	13–11	0.05	27%	12 May →
mirage	13–11	0.04	26%	12 May →
dust2	7–13	0.03	19%	12 May →
dust2	13–10	-0.02	21%	11 May →
mirage	8–13	0.04	25%	11 May →
dust2	3–13	-0.05	33%	11 May →
inferno	13–9	-0.04	14%	10 May →
mirage	2–7	-0.16	57%	10 May →
dust2	13–4	0.15	21%	10 May →
mirage	13–10	0.05	20%	9 May →
dust2	6–13	-0.01	19%	9 May →
ancient	11–13	0.03	16%	9 May →
mirage	4–13	-0.04	52%	8 May →
dust2	11–13	0.08	28%	8 May →
overpass	4–13	-0.07	30%	7 May →
dust2	12–16	0.08	26%	7 May →
dust2	4–13	-0.00	27%	6 May →
cache	2–13	-0.06	32%	6 May →
dust2	13–11	0.04	24%	5 May →
dust2	13–6	0.07	38%	5 May →
mirage	13–7	0.08	26%	5 May →
nuke	9–13	0.09	22%	5 May →
overpass	13–4	0.11	25%	5 May →
mirage	13–9	0.11	25%	4 May →
dust2	13–3	-0.00	18%	4 May →
mirage	13–9	0.03	28%	4 May →
nuke	13–9	0.12	34%	4 May →
mirage	13–6	0.12	28%	4 May →
nuke	13–5	0.09	25%	3 May →
dust2	4–13	0.08	19%	3 May →
cache	12–12	0.06	29%	3 May →
dust2	13–11	0.09	21%	2 May →
ancient	13–4	-0.01	13%	2 May →
dust2	13–4	0.01	23%	30 Apr →
mirage	11–13	0.14	33%	30 Apr →
dust2	13–6	0.07	40%	29 Apr →
dust2	13–6	0.14	35%	29 Apr →
dust2	11–13	0.05	34%	29 Apr →
mirage	4–13	0.01	32%	29 Apr →
inferno	4–9	0.08	40%	29 Apr →
mirage	7–13	0.05	25%	29 Apr →
dust2	5–13	0.09	43%	29 Apr →
dust2	13–2	0.16	43%	28 Apr →
cache	3–13	-0.02	26%	28 Apr →
mirage	7–13	-0.07	23%	28 Apr →
mirage	12–12	-0.00	20%	28 Apr →
mirage	7–13	0.02	56%	28 Apr →
dust2	5–13	0.07	33%	28 Apr →
dust2	13–10	0.08	26%	28 Apr →
dust2	13–11	0.06	27%	28 Apr →
dust2	13–6	0.09	28%	28 Apr →
dust2	3–7	0.12	40%	28 Apr →
mirage	3–13	0.03	45%	27 Apr →
inferno	6–13	0.05	24%	27 Apr →
mirage	13–3	0.14	21%	27 Apr →
mirage	6–4	0.05	40%	27 Apr →
mirage	1–13	0.03	15%	24 Apr →