NinjaDuckyS — CS2 Stats

CA76561198107571409[U:1:147305681]Steam profile ↗✓ No bans

1,738Tracked matches59%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating22,455Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#9089 of 34276 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning61

Utility32

0–100 skill scores via Leetify.

Recent form

HOT58–40–2Last 10058%Win rateLWLWWWWWWW

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

Player DNA

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

Aim6.7

Aggression9.1

Utility3.2

Positioning6.1

Opening Duels4.5

Clutch2.4

Strong CT-side opener

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 ropz 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher 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

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

T-side openings. Opening success drops from 56% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim6.7

Positioning6.1

Utility3.2

Mechanics6.2

Opening Duels4.5

Win Impact7.9

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time576ms−37ms

first ⅓ avg 613ms → last ⅓ avg 576ms

Headshot accuracy17.9%−1.9%

first ⅓ avg 19.8% → last ⅓ avg 17.9%

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

0.14Best rating — cache 9–13

13–1Biggest win — mirage

10Longest win streak

8–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 100% over 5cacheWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	18–11	62%	0.00
ancient	B	19	9–10	47%	0.00
cache	D	13	4–9	31%	0.03
inferno	S	12	9–3	75%	-0.00
dust2	B	12	6–6	50%	-0.01
anubis	A	8	5–3	63%	0.01
nuke	S	5	5–0	100%	-0.02
stronghold	—	1	1–0	100%	0.02
overpass	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Faceit stats

Combat

32Matches

56%Win rate

1.11Avg K/D

88.8ADR

50%Headshot %

Clutches & streaks

32%1v1 clutch win

11%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	64%	1.04	19.1
Dust2	7	57%	1.26	19.1
Inferno	5	40%	1.14	16.8
Anubis	3	100%	1.22	19.3
Ancient	2	50%	0.88	16.0
Cache	2	0%	1.17	18.0
Nuke	2	50%	0.93	12.5

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.

17.9%Headshot accuracy

34.2%Accuracy (enemy spotted)

33.6%Spray accuracy

77.9%Counter-strafing

9.7°Preaim

571msReaction time

40.5%T opening success

55.7%CT opening success

0.44Enemies flashed / flash

3.1%Flash assists

4.55HE damage / grenade

7.69Flashes / 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 0.4386 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	17–19	-0.01	19%	13 May →
mirage	13–10	0.02	17%	13 May →
mirage	9–13	0.01	21%	13 May →
mirage	13–9	0.03	21%	13 May →
mirage	13–10	-0.01	8%	13 May →
nuke	13–6	-0.03	19%	12 May →
mirage	13–11	-0.02	9%	12 May →
mirage	13–11	0.03	14%	10 May →
stronghold	13–9	0.02	15%	10 May →
cache	13–3	0.04	19%	10 May →
cache	13–2	0.02	23%	10 May →
nuke	13–11	-0.04	17%	10 May →
ancient	13–5	0.08	17%	10 May →
cache	12–12	0.01	19%	8 May →
anubis	13–16	0.03	16%	7 May →
ancient	16–13	-0.05	19%	7 May →
inferno	3–13	-0.06	28%	7 May →
mirage	2–13	-0.02	15%	7 May →
nuke	16–12	-0.02	13%	7 May →
inferno	11–13	-0.02	20%	7 May →
ancient	11–13	0.01	33%	7 May →
cache	13–3	0.05	17%	7 May →
cache	3–11	-0.09	21%	7 May →
cache	10–13	0.04	20%	7 May →
dust2	13–16	-0.03	23%	6 May →
anubis	12–16	-0.00	20%	6 May →
inferno	16–14	-0.03	15%	6 May →
mirage	2–13	-0.04	13%	6 May →
mirage	13–11	0.04	11%	5 May →
dust2	13–4	0.04	19%	5 May →
overpass	13–9	0.04	22%	5 May →
dust2	13–10	-0.04	23%	4 May →
ancient	3–13	-0.10	5%	4 May →
ancient	11–13	0.03	15%	4 May →
ancient	7–13	0.00	21%	3 May →
mirage	13–3	0.01	24%	3 May →
mirage	13–3	-0.03	14%	3 May →
anubis	13–4	-0.01	17%	3 May →
inferno	13–5	-0.09	25%	3 May →
mirage	13–1	0.07	29%	3 May →
ancient	13–9	-0.02	26%	3 May →
dust2	6–13	-0.01	14%	3 May →
dust2	13–3	0.05	27%	3 May →
dust2	13–2	-0.03	40%	3 May →
inferno	13–11	-0.06	11%	3 May →
inferno	13–4	0.01	15%	3 May →
mirage	13–7	-0.04	18%	3 May →
mirage	13–16	0.00	22%	3 May →
mirage	7–13	-0.04	28%	3 May →
anubis	13–10	0.01	25%	3 May →
inferno	13–5	-0.04	14%	2 May →
ancient	5–13	-0.04	23%	2 May →
dust2	13–9	-0.03	21%	2 May →
mirage	13–10	0.06	25%	2 May →
dust2	9–13	-0.05	25%	2 May →
dust2	5–13	0.01	44%	2 May →
ancient	15–15	0.08	34%	2 May →
cache	9–13	0.14	27%	2 May →
cache	11–13	0.03	29%	2 May →
anubis	13–4	0.05	37%	2 May →
nuke	13–2	0.02	38%	2 May →
mirage	13–3	0.03	21%	1 May →
inferno	13–4	0.08	28%	30 Apr →
dust2	5–13	-0.07	23%	30 Apr →
cache	5–13	0.09	17%	29 Apr →
cache	11–13	-0.02	19%	29 Apr →
cache	13–2	0.05	13%	29 Apr →
mirage	13–4	0.08	20%	29 Apr →
cache	6–13	-0.02	20%	29 Apr →
cache	10–13	0.00	17%	29 Apr →
ancient	13–6	-0.01	9%	28 Apr →
ancient	4–13	-0.06	19%	28 Apr →
ancient	13–8	0.00	21%	28 Apr →
mirage	10–13	-0.01	14%	28 Apr →
mirage	13–9	-0.01	27%	28 Apr →
ancient	13–7	0.01	29%	28 Apr →
mirage	13–2	-0.06	14%	28 Apr →
mirage	13–6	0.13	22%	27 Apr →
ancient	3–13	-0.04	29%	27 Apr →
mirage	11–13	0.01	21%	27 Apr →
ancient	13–2	0.04	22%	26 Apr →
mirage	6–13	-0.01	14%	26 Apr →
mirage	10–13	-0.04	27%	26 Apr →
ancient	13–2	-0.02	21%	26 Apr →
dust2	13–1	0.00	18%	26 Apr →
ancient	11–13	0.04	20%	26 Apr →
inferno	13–3	0.01	28%	26 Apr →
inferno	13–7	0.04	16%	26 Apr →
mirage	13–11	-0.02	21%	26 Apr →
anubis	10–1	0.03	13%	26 Apr →
ancient	13–7	0.07	18%	26 Apr →
inferno	14–16	0.01	20%	25 Apr →
nuke	13–11	-0.03	27%	25 Apr →
anubis	13–9	-0.02	12%	25 Apr →
mirage	14–16	0.03	17%	25 Apr →
inferno	13–4	0.11	27%	25 Apr →
dust2	11–13	0.02	23%	25 Apr →
ancient	8–13	0.02	22%	25 Apr →
anubis	3–13	0.00	13%	25 Apr →
mirage	13–10	-0.05	16%	24 Apr →