Hidingninja3 — CS2 Stats

76561198037767580[U:1:77501852]Steam profile ↗✓ No bans

1,218Tracked matches43%Win rate2024Tracked since

CSDB Rating3.8 Learning

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim52

Positioning37

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateLLLWWWLWLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim5.2

Aggression2.4

Utility4.6

Positioning3.7

Opening Duels0.0

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 NiKo 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower 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

T-side openings. Opening success drops from 41% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2

Positioning3.7

Utility4.6

Mechanics2.5

Opening Duels1.4

Win Impact2.6

Composite 3.8/10 (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-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time590ms−82ms

first ⅓ avg 672ms → last ⅓ avg 590ms

Headshot accuracy14.7%+0.5%

first ⅓ avg 14.2% → last ⅓ avg 14.7%

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

0.20Best rating — dust2 13–1

13–1Biggest win — dust2

6Longest win streak

L3Current streak

8–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 80% over 5overpassWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	57	28–29	49%	0.00
ancient	D	8	2–6	25%	-0.01
anubis	A	8	5–3	63%	0.05
overpass	D	7	1–6	14%	0.01
mirage	S	6	4–2	67%	0.00
inferno	S	5	4–1	80%	0.04
vertigo	—	4	1–3	25%	-0.02
train	—	3	0–3	0%	-0.01
cache	—	2	1–1	50%	-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

40%Win rate

1.07Avg K/D

77.2ADR

39%Headshot %

Clutches & streaks

33%1v1 clutch win

47%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	5	20%	1.25	14.2
Anubis	3	33%	0.89	18.3
Mirage	3	67%	1.04	16.7
Ancient	2	50%	0.92	12.0
Nuke	1	100%	1.80	9.0
Inferno	1	0%	0.36	5.0

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.

14.2%Headshot accuracy

34.4%Accuracy (enemy spotted)

39.4%Spray accuracy

61.1%Counter-strafing

10.4°Preaim

570msReaction time

16.0%T opening success

41.0%CT opening success

0.51Enemies flashed / flash

1.5%Flash assists

8.02HE damage / grenade

12.99Flashes / 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 14.1763% — below the 15% mark we flag
Aim Training →
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 16% — below the 40% mark we flag

Spend your practice time on Overpass

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.03	21%	24 Aug →
dust2	8–13	0.04	19%	23 Aug →
ancient	3–13	-0.08	8%	23 Aug →
anubis	13–9	0.02	18%	23 Aug →
ancient	13–6	0.06	4%	23 Aug →
dust2	13–1	0.20	29%	23 Aug →
dust2	4–13	-0.12	10%	22 Aug →
dust2	13–8	0.01	20%	22 Aug →
dust2	6–13	-0.00	16%	22 Aug →
dust2	9–13	0.04	11%	21 Aug →
overpass	13–9	-0.02	10%	21 Aug →
overpass	7–13	0.01	12%	21 Aug →
train	5–13	0.00	11%	21 Aug →
cache	13–8	-0.03	10%	21 Aug →
overpass	11–13	-0.00	18%	21 Aug →
cache	9–13	-0.09	15%	20 Aug →
dust2	9–13	0.01	18%	20 Aug →
dust2	13–2	0.04	15%	20 Aug →
dust2	9–13	-0.01	6%	19 Aug →
dust2	13–4	-0.06	16%	19 Aug →
dust2	12–12	-0.02	9%	19 Aug →
mirage	13–8	0.04	13%	19 Aug →
dust2	6–13	-0.04	23%	18 Aug →
dust2	8–13	-0.02	12%	18 Aug →
overpass	12–12	-0.00	16%	18 Aug →
anubis	13–9	0.02	16%	18 Aug →
ancient	8–13	-0.00	13%	17 Aug →
dust2	13–11	-0.02	5%	17 Aug →
vertigo	9–13	0.02	27%	17 Aug →
mirage	13–6	0.01	8%	17 Aug →
vertigo	6–13	-0.04	23%	17 Aug →
dust2	10–13	-0.04	13%	16 Aug →
dust2	13–6	0.01	22%	16 Aug →
dust2	11–13	-0.03	27%	16 Aug →
dust2	13–4	0.00	8%	16 Aug →
dust2	6–13	0.10	20%	16 Aug →
dust2	13–11	0.01	16%	16 Aug →
dust2	13–5	0.02	18%	16 Aug →
dust2	13–11	0.01	15%	16 Aug →
dust2	13–11	0.00	17%	15 Aug →
dust2	13–11	0.08	15%	15 Aug →
dust2	13–8	0.02	22%	15 Aug →
dust2	12–12	-0.06	7%	15 Aug →
dust2	1–13	-0.05	60%	14 Aug →
anubis	13–10	-0.02	7%	14 Aug →
inferno	13–5	0.15	11%	11 Aug →
anubis	13–9	0.08	13%	11 Aug →
dust2	7–13	0.00	15%	11 Aug →
train	8–13	0.05	21%	8 Aug →
mirage	7–13	-0.07	13%	4 Aug →
dust2	2–13	-0.01	13%	4 Aug →
anubis	12–12	0.12	17%	3 Aug →
inferno	13–10	0.02	15%	3 Aug →
dust2	10–13	0.04	22%	3 Aug →
ancient	9–13	-0.04	9%	2 Aug →
overpass	1–13	-0.02	10%	2 Aug →
vertigo	7–13	-0.02	15%	2 Aug →
dust2	12–12	0.00	15%	2 Aug →
dust2	12–12	-0.01	21%	2 Aug →
dust2	12–12	-0.01	13%	1 Aug →
dust2	13–11	-0.03	13%	1 Aug →
inferno	13–5	0.00	8%	1 Aug →
mirage	13–5	0.09	20%	1 Aug →
dust2	13–6	-0.05	10%	1 Aug →
dust2	13–9	0.02	15%	1 Aug →
dust2	13–3	0.13	12%	31 Jul →
dust2	7–13	0.02	22%	31 Jul →
dust2	8–13	-0.07	16%	31 Jul →
ancient	2–13	-0.07	13%	30 Jul →
dust2	8–13	-0.07	15%	30 Jul →
dust2	13–3	0.09	18%	29 Jul →
dust2	13–7	0.11	15%	29 Jul →
dust2	13–10	-0.01	20%	29 Jul →
ancient	13–8	0.02	5%	29 Jul →
dust2	6–13	0.00	11%	29 Jul →
ancient	9–13	-0.01	13%	29 Jul →
dust2	3–13	-0.06	21%	28 Jul →
mirage	13–7	-0.04	17%	28 Jul →
mirage	11–13	-0.03	13%	28 Jul →
vertigo	13–6	-0.02	12%	28 Jul →
inferno	13–5	0.03	9%	28 Jul →
dust2	13–6	0.00	20%	27 Jul →
dust2	13–11	-0.02	21%	27 Jul →
dust2	9–13	-0.02	8%	27 Jul →
dust2	13–11	0.09	13%	27 Jul →
dust2	13–9	-0.07	11%	26 Jul →
dust2	12–12	-0.00	7%	26 Jul →
ancient	11–13	0.02	14%	26 Jul →
anubis	9–13	0.04	4%	26 Jul →
inferno	8–13	-0.00	19%	25 Jul →
dust2	13–6	-0.01	20%	25 Jul →
overpass	12–12	0.05	21%	25 Jul →
anubis	13–3	0.07	8%	25 Jul →
overpass	4–13	0.08	13%	25 Jul →
dust2	13–9	-0.02	18%	25 Jul →
train	5–13	-0.07	7%	24 Jul →
dust2	12–12	-0.01	8%	24 Jul →
anubis	7–13	0.03	10%	24 Jul →
dust2	13–10	0.02	22%	24 Jul →
dust2	13–6	0.05	24%	24 Jul →