Zoom — CS2 Stats

76561198177329849[U:1:217064121]✓ No bans

2,363Tracked matches59%Win rate2020Tracked since

CSDB Rating5.1 Developing

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning44

Utility48

0–100 skill scores via Leetify.

Recent form

HOT48–47–5Last 10048%Win rateWWWWWLWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Aim5.3

Aggression4.8

Utility4.8

Positioning4.4

Opening Duels1.4

Clutch3.8

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 84% playstyle similarity

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

Where you differ: lower positioning profile; 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 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 718ms 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

Aim5.3

Positioning4.4

Utility4.8

Mechanics6.4

Opening Duels1.7

Win Impact7.9

Composite 5.1/10 (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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time711ms+6ms

first ⅓ avg 706ms → last ⅓ avg 711ms

Headshot accuracy16.5%+1.2%

first ⅓ avg 15.3% → last ⅓ avg 16.5%

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

0.13Best rating — inferno 13–5

13–0Biggest win — nuke

6Longest win streak

W5Current streak

7–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 73% over 11ancientWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	-0.00
mirage	C	19	8–11	42%	0.02
ancient	C	16	6–10	38%	0.01
cache	C	14	6–8	43%	0.03
inferno	S	11	8–3	73%	0.01
anubis	A	7	4–3	57%	0.00
nuke	A	7	4–3	57%	0.04
train	—	2	1–1	50%	0.01
boulder	—	1	1–0	100%	0.07
shelter	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

234Matches

53%Win rate

1.29Avg K/D

76.5ADR

41%Headshot %

Clutches & streaks

39%1v1 clutch win

28%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	30	50%	1.37	16.0
Dust2	27	41%	1.08	15.3
Anubis	25	52%	1.19	15.6
Ancient	24	75%	1.34	16.4
Inferno	19	42%	1.23	17.9
Nuke	18	61%	1.22	16.6
Cache	6	67%	1.12	13.8
Overpass	4	50%	0.96	17.8

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.

15.6%Headshot accuracy

36.7%Accuracy (enemy spotted)

39.1%Spray accuracy

78.8%Counter-strafing

11.6°Preaim

718msReaction time

27.7%T opening success

43.5%CT opening success

0.60Enemies flashed / flash

13.9%Flash assists

9.77HE damage / grenade

4.45Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 717.7247ms — above the 700ms 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 27.7046% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–3	0.05	10%	24 Aug →
cache	13–3	0.12	19%	24 Aug →
mirage	13–10	0.07	19%	24 Aug →
anubis	13–2	0.10	20%	23 Aug →
ancient	13–8	0.04	14%	20 Aug →
nuke	10–13	0.01	16%	20 Aug →
cache	13–10	0.07	22%	12 Aug →
mirage	13–10	0.03	22%	12 Aug →
nuke	13–0	0.08	21%	12 Aug →
dust2	10–13	0.00	12%	12 Aug →
inferno	13–8	0.10	23%	12 Aug →
dust2	10–13	-0.06	6%	16 Jul →
inferno	13–5	0.04	20%	14 Jul →
dust2	9–13	0.03	13%	13 Jul →
ancient	8–13	-0.00	19%	13 Jul →
cache	13–10	0.02	20%	12 Jul →
ancient	5–13	0.01	9%	11 Jul →
ancient	14–16	-0.00	17%	9 Jul →
mirage	13–5	0.09	10%	9 Jul →
boulder	13–8	0.07	13%	9 Jul →
shelter	6–13	-0.02	17%	9 Jul →
dust2	12–12	0.04	13%	9 Jul →
ancient	7–13	-0.04	11%	7 Jul →
cache	5–13	0.01	13%	7 Jul →
train	3–13	-0.04	27%	7 Jul →
train	13–4	0.05	14%	7 Jul →
nuke	13–11	0.00	15%	7 Jul →
mirage	13–8	0.10	12%	7 Jul →
dust2	13–10	-0.02	12%	7 Jul →
inferno	0–13	-0.07	10%	7 Jul →
cache	9–13	0.06	22%	7 Jul →
cache	8–13	0.02	31%	7 Jul →
dust2	10–13	0.07	25%	6 Jul →
cache	6–13	0.03	18%	6 Jul →
mirage	11–13	0.09	17%	30 Jun →
mirage	13–2	0.08	26%	25 Jun →
inferno	13–9	-0.03	9%	23 Jun →
dust2	5–13	-0.06	6%	23 Jun →
ancient	13–11	-0.03	10%	21 Jun →
dust2	13–11	-0.02	23%	21 Jun →
ancient	8–13	-0.07	10%	20 Jun →
dust2	7–13	-0.04	26%	18 Jun →
dust2	13–8	-0.01	14%	16 Jun →
mirage	9–13	0.05	18%	13 Jun →
dust2	4–13	-0.10	12%	13 Jun →
dust2	13–5	-0.06	14%	11 Jun →
dust2	2–10	-0.08	5%	11 Jun →
anubis	9–13	-0.05	20%	9 Jun →
anubis	12–12	0.02	16%	9 Jun →
mirage	13–4	-0.05	5%	9 Jun →
dust2	16–14	0.12	28%	7 Jun →
nuke	11–13	0.04	13%	7 Jun →
ancient	8–13	0.03	18%	7 Jun →
mirage	13–10	0.02	14%	7 Jun →
ancient	5–13	-0.01	8%	7 Jun →
cache	4–13	-0.07	27%	7 Jun →
inferno	13–4	0.01	29%	4 Jun →
inferno	2–0	0.00	0%	4 Jun →
dust2	13–10	0.01	15%	3 Jun →
mirage	12–12	-0.03	17%	2 Jun →
inferno	13–8	0.05	8%	31 May →
ancient	9–13	-0.01	11%	31 May →
ancient	7–13	0.07	13%	27 May →
dust2	13–9	0.07	13%	27 May →
ancient	13–7	0.11	16%	26 May →
mirage	9–13	-0.01	15%	26 May →
inferno	13–5	0.13	16%	26 May →
inferno	3–13	-0.08	22%	24 May →
nuke	6–13	-0.03	13%	24 May →
dust2	12–12	0.03	7%	22 May →
mirage	10–13	0.02	20%	22 May →
mirage	8–13	-0.08	8%	21 May →
dust2	8–13	-0.01	24%	21 May →
ancient	8–13	-0.01	13%	21 May →
dust2	13–8	0.06	21%	20 May →
dust2	12–12	-0.02	20%	20 May →
nuke	13–4	0.10	21%	19 May →
mirage	11–13	0.02	18%	19 May →
mirage	13–11	0.02	24%	18 May →
ancient	13–3	0.07	11%	17 May →
inferno	14–16	-0.01	21%	16 May →
anubis	13–3	0.02	16%	16 May →
cache	13–3	0.02	9%	13 May →
cache	13–9	0.05	20%	13 May →
inferno	13–5	-0.04	7%	7 May →
mirage	3–13	-0.02	24%	6 May →
cache	9–13	0.01	17%	6 May →
cache	10–13	0.01	13%	6 May →
anubis	2–13	-0.05	16%	6 May →
mirage	11–13	0.01	9%	4 May →
cache	5–13	0.02	13%	2 May →
ancient	34–32	0.01	7%	30 Apr →
mirage	11–13	-0.01	9%	29 Apr →
nuke	13–3	0.11	24%	28 Apr →
ancient	13–9	-0.05	13%	25 Apr →
cache	13–9	0.06	18%	23 Apr →
overpass	16–13	0.03	23%	23 Apr →
anubis	13–9	-0.01	5%	23 Apr →
anubis	13–4	0.01	14%	23 Apr →
mirage	11–13	0.03	8%	27 Mar →