𝙡𝙚𝙫𝙞𝙣． — CS2 Stats

76561198353148629[U:1:392882901]✓ No bans

2,621Tracked matches33%Win rate2020Tracked since

CSDB Rating4.0 Developing

FaceitLevel 5 · 1,144 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning43

Utility44

0–100 skill scores via Leetify.

Recent form

COLD47–43–10Last 10047%Win rateLLLLWWWTLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.8

Aggression5.6

Utility4.4

Positioning4.3

Opening Duels2.5

Clutch2.4

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 83% playstyle similarity

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

Where you differ: lower utility contribution; 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 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 677ms 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

Aim5.8

Positioning4.3

Utility4.4

Mechanics6.1

Opening Duels2.5

Win Impact0.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time678ms+17ms

first ⅓ avg 661ms → last ⅓ avg 678ms

Headshot accuracy12.7%−1.4%

first ⅓ avg 14.1% → last ⅓ avg 12.7%

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

0.17Best rating — mirage 13–3

13–2Biggest win — mirage

7Longest win streak

L4Current streak

11–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 67% over 6anubisWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	41	17–24	41%	0.01
dust2	B	17	8–9	47%	-0.02
anubis	C	17	6–11	35%	-0.03
ancient	A	7	4–3	57%	-0.02
nuke	C	7	3–4	43%	-0.02
inferno	S	6	4–2	67%	0.01
cache	—	4	4–0	100%	-0.00
overpass	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

919Matches

50%Win rate

1.03Avg K/D

71.5ADR

36%Headshot %

Clutches & streaks

32%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	93	52%	0.91	14.6
Ancient	86	50%	1.02	15.2
Nuke	47	49%	0.93	15.1
Vertigo	42	55%	1.07	15.2
Mirage	36	36%	0.94	13.9
Inferno	29	52%	0.96	14.8
Dust2	25	36%	0.92	14.0
Overpass	8	38%	0.83	14.0

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.

13.0%Headshot accuracy

37.5%Accuracy (enemy spotted)

39.8%Spray accuracy

77.2%Counter-strafing

10.4°Preaim

677msReaction time

30.8%T opening success

49.1%CT opening success

0.49Enemies flashed / flash

3.7%Flash assists

7.41HE damage / grenade

10.08Flashes / 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 13.0377% — below the 15% mark we flag
Aim Training →
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 0.4877 — 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 30.786% — 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.

35% win rate across 17 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
dust2	5–13	-0.05	13%	27 Aug →
anubis	4–13	-0.02	5%	11 Aug →
mirage	4–13	-0.04	8%	8 Aug →
ancient	6–13	-0.09	12%	16 Jul →
ancient	16–13	0.00	9%	9 Jul →
mirage	13–11	0.06	12%	9 Jul →
cache	13–10	0.01	9%	8 Jul →
nuke	12–12	0.06	8%	8 Jul →
ancient	7–13	-0.01	14%	6 Jul →
dust2	1–13	-0.06	7%	6 Jul →
mirage	3–13	-0.12	6%	6 Jul →
ancient	13–10	-0.00	9%	25 Jun →
anubis	2–13	-0.03	8%	25 Jun →
anubis	3–13	-0.06	26%	25 Jun →
mirage	12–12	0.10	18%	24 Jun →
dust2	11–13	-0.01	15%	22 Jun →
mirage	13–9	0.17	11%	21 Jun →
mirage	10–10	-0.00	16%	21 Jun →
mirage	5–13	-0.03	8%	21 Jun →
mirage	7–11	-0.02	10%	21 Jun →
mirage	11–13	0.02	19%	21 Jun →
mirage	10–13	0.01	16%	21 Jun →
mirage	4–13	-0.02	15%	21 Jun →
mirage	12–12	0.01	21%	21 Jun →
mirage	13–2	0.06	14%	21 Jun →
mirage	11–13	-0.01	10%	21 Jun →
mirage	13–3	0.17	15%	14 Jun →
mirage	8–13	-0.02	19%	13 Jun →
mirage	5–13	0.03	22%	13 Jun →
dust2	13–8	-0.02	13%	11 Jun →
dust2	8–13	-0.07	4%	7 Jun →
mirage	13–8	0.00	14%	7 Jun →
ancient	13–7	0.00	12%	7 Jun →
inferno	13–7	0.07	17%	7 Jun →
dust2	6–13	-0.03	13%	7 Jun →
anubis	8–13	-0.04	9%	7 Jun →
anubis	13–10	0.02	4%	6 Jun →
inferno	5–13	-0.04	7%	6 Jun →
mirage	12–12	-0.01	21%	6 Jun →
mirage	13–10	-0.05	18%	4 Jun →
mirage	13–2	0.02	20%	4 Jun →
mirage	12–12	0.04	18%	27 May →
mirage	6–13	-0.02	11%	25 May →
mirage	13–4	0.06	10%	24 May →
mirage	5–13	0.07	19%	24 May →
cache	13–3	-0.02	35%	29 Apr →
cache	13–4	0.04	13%	29 Apr →
cache	13–8	-0.02	12%	29 Apr →
nuke	0–9	0.01	15%	28 Apr →
mirage	13–9	-0.00	12%	28 Apr →
mirage	0–4	-0.08	0%	22 Apr →
mirage	5–13	0.06	15%	14 Apr →
inferno	15–15	-0.01	10%	9 Apr →
mirage	13–8	-0.02	6%	9 Apr →
mirage	12–12	-0.04	7%	9 Apr →
anubis	3–13	-0.05	15%	5 Apr →
mirage	13–9	-0.03	15%	5 Apr →
dust2	13–11	-0.02	15%	5 Apr →
mirage	13–11	0.08	13%	5 Apr →
dust2	13–11	0.01	7%	5 Apr →
nuke	15–15	-0.03	18%	5 Apr →
mirage	6–13	-0.05	8%	31 Mar →
dust2	2–13	-0.06	13%	31 Mar →
mirage	13–9	-0.02	21%	31 Mar →
dust2	13–10	0.02	9%	30 Mar →
dust2	13–2	-0.00	30%	30 Mar →
anubis	13–9	-0.04	2%	30 Mar →
dust2	13–7	-0.01	18%	30 Mar →
anubis	13–7	-0.03	15%	30 Mar →
nuke	16–13	-0.02	18%	27 Mar →
mirage	12–12	0.01	25%	27 Mar →
anubis	10–13	-0.02	11%	26 Mar →
ancient	10–13	-0.04	6%	26 Mar →
mirage	7–13	-0.04	23%	23 Mar →
anubis	10–13	-0.06	12%	22 Mar →
mirage	13–6	-0.04	17%	22 Mar →
dust2	16–12	-0.05	23%	22 Mar →
inferno	16–12	-0.02	20%	22 Mar →
nuke	13–7	-0.05	15%	21 Mar →
anubis	13–11	0.01	13%	21 Mar →
dust2	6–13	-0.02	6%	21 Mar →
nuke	13–11	0.01	32%	20 Mar →
ancient	13–9	-0.00	10%	20 Mar →
mirage	13–11	-0.04	12%	20 Mar →
anubis	13–11	0.01	13%	19 Mar →
mirage	13–9	-0.01	12%	18 Mar →
anubis	10–13	-0.05	6%	17 Mar →
dust2	13–11	-0.01	10%	17 Mar →
dust2	11–13	0.01	13%	11 Mar →
anubis	14–16	0.01	15%	11 Mar →
inferno	13–7	0.06	11%	11 Mar →
mirage	9–13	-0.00	12%	10 Mar →
mirage	15–15	-0.01	13%	8 Mar →
inferno	13–4	-0.01	14%	8 Mar →
anubis	13–11	-0.04	7%	8 Mar →
anubis	14–16	-0.04	17%	3 Mar →
overpass	13–9	-0.00	3%	25 Feb →
nuke	1–13	-0.11	17%	10 Feb →
dust2	8–13	0.02	15%	10 Feb →
anubis	10–13	-0.05	13%	10 Feb →