⋆˚࿔ masokitty 𝜗𝜚˚⋆ — CS2 Stats

76561199070397656[U:1:1110131928]Steam profile ↗

989Tracked matches62%Win rate2020Tracked since

CSDB Rating4.1 Developing

Premier CS Rating6,773Light Blue band · top ~70.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning53

Utility12

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateTLTWLWWWWT

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Aim4.1

Aggression8.0

Utility1.2

Positioning5.3

Opening Duels3.7

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 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 55% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim4.1

Positioning5.3

Utility1.2

Mechanics5.8

Opening Duels3.7

Win Impact8.8

Composite 4.1/10 (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 rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time647ms+9ms

first ⅓ avg 638ms → last ⅓ avg 647ms

Headshot accuracy15.3%−0.5%

first ⅓ avg 15.8% → last ⅓ avg 15.3%

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

0.07Best rating — inferno 14–16

13–1Biggest win — nuke

9Longest win streak

11–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 60% over 20anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	23	13–10	57%	-0.03
cache	A	20	12–8	60%	-0.02
dust2	C	18	8–10	44%	-0.02
ancient	C	9	4–5	44%	-0.03
mirage	D	9	3–6	33%	-0.04
anubis	D	7	2–5	29%	-0.05
vertigo	A	5	3–2	60%	-0.02
inferno	—	3	0–3	0%	0.00
train	—	2	1–1	50%	-0.02
fachwerk	—	2	0–2	0%	-0.01
boulder	—	1	0–1	0%	0.03
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy

30.9%Accuracy (enemy spotted)

33.5%Spray accuracy

76.1%Counter-strafing

12.7°Preaim

616msReaction time

34.5%T opening success

54.7%CT opening success

0.23Enemies flashed / flash

1.1%Flash assists

6.84HE damage / grenade

0.89Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7228° — above the 12° mark we flag
Aim Training →
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 14.4208% — 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 0.2307 — below the 0.5 mark we flag
Grenade Lineups →

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.

29% win rate across 7 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	15–15	-0.03	26%	29 Aug →
nuke	8–13	-0.01	11%	28 Aug →
nuke	15–15	-0.10	7%	27 Aug →
nuke	16–14	-0.01	20%	23 Aug →
anubis	10–13	-0.01	15%	23 Aug →
cache	13–7	0.01	24%	23 Aug →
ancient	13–11	0.02	9%	23 Aug →
nuke	13–4	0.00	0%	17 Aug →
dust2	4–0	0.01	17%	17 Aug →
train	12–12	-0.06	22%	17 Aug →
train	4–0	0.02	33%	17 Aug →
ancient	13–11	-0.07	0%	17 Aug →
dust2	13–3	0.00	17%	17 Aug →
cache	13–4	0.04	16%	17 Aug →
nuke	13–1	-0.03	14%	16 Aug →
dust2	13–9	-0.01	19%	16 Aug →
ancient	13–7	-0.03	8%	15 Aug →
anubis	13–11	-0.02	15%	15 Aug →
nuke	13–10	0.01	17%	14 Aug →
cache	2–13	-0.09	12%	14 Aug →
dust2	7–13	-0.09	12%	14 Aug →
nuke	11–13	-0.02	21%	13 Aug →
ancient	15–15	0.02	21%	12 Aug →
anubis	10–13	-0.09	6%	12 Aug →
dust2	13–11	0.00	13%	12 Aug →
inferno	14–16	0.07	14%	11 Aug →
nuke	14–16	-0.05	5%	1 Aug →
cache	2–13	-0.04	19%	1 Aug →
dust2	13–6	-0.01	21%	1 Aug →
dust2	3–13	-0.02	11%	1 Aug →
dust2	15–15	0.03	21%	28 Jul →
dust2	10–13	-0.05	21%	28 Jul →
cache	12–16	-0.05	18%	24 Jul →
dust2	13–3	0.07	29%	24 Jul →
nuke	13–11	0.01	25%	24 Jul →
mirage	13–4	-0.02	31%	24 Jul →
dust2	10–1	0.03	17%	24 Jul →
nuke	13–1	0.04	17%	24 Jul →
cache	13–5	0.07	15%	24 Jul →
nuke	13–10	-0.11	12%	22 Jul →
ancient	1–13	-0.07	29%	22 Jul →
nuke	5–13	-0.11	15%	22 Jul →
nuke	16–12	-0.03	12%	21 Jul →
mirage	6–13	-0.07	8%	21 Jul →
nuke	13–7	-0.02	18%	21 Jul →
inferno	7–13	-0.03	23%	21 Jul →
dust2	15–15	-0.04	17%	20 Jul →
mirage	13–11	-0.07	10%	20 Jul →
anubis	10–13	-0.03	6%	20 Jul →
fachwerk	11–13	0.03	20%	20 Jul →
cache	13–4	-0.03	17%	19 Jul →
nuke	11–13	0.00	15%	19 Jul →
mirage	7–13	-0.10	11%	19 Jul →
ancient	4–13	-0.06	18%	19 Jul →
anubis	4–13	-0.14	4%	19 Jul →
nuke	8–13	-0.09	20%	18 Jul →
boulder	12–12	0.03	15%	18 Jul →
ancient	0–13	-0.06	18%	15 Jul →
fachwerk	7–13	-0.04	23%	15 Jul →
nuke	14–16	-0.06	21%	15 Jul →
cache	16–14	-0.02	18%	15 Jul →
vertigo	13–9	-0.03	10%	5 Jul →
vertigo	5–13	-0.04	24%	3 Jul →
mirage	5–13	-0.02	8%	3 Jul →
nuke	1–13	-0.03	16%	3 Jul →
dust2	13–4	0.00	16%	3 Jul →
nuke	10–13	-0.05	6%	28 Jun →
mirage	11–13	-0.04	15%	28 Jun →
dust2	10–13	-0.02	23%	28 Jun →
mirage	8–13	0.02	18%	28 Jun →
nuke	13–7	-0.03	17%	28 Jun →
cache	7–13	-0.01	6%	28 Jun →
office	5–13	0.03	9%	14 Jun →
vertigo	4–13	-0.04	8%	14 Jun →
anubis	13–11	-0.01	13%	12 Jun →
cache	13–11	-0.01	27%	11 Jun →
vertigo	13–5	0.01	15%	11 Jun →
anubis	4–13	-0.04	11%	11 Jun →
cache	3–13	-0.06	19%	11 Jun →
cache	13–2	-0.04	0%	11 Jun →
cache	13–4	-0.04	4%	11 Jun →
cache	13–5	0.02	23%	11 Jun →
cache	3–13	-0.05	16%	11 Jun →
vertigo	13–5	0.00	3%	11 Jun →
nuke	13–8	-0.01	21%	22 May →
dust2	8–13	-0.04	26%	22 May →
inferno	9–13	-0.03	25%	22 May →
ancient	3–2	-0.00	18%	22 May →
nuke	13–5	0.01	21%	9 May →
cache	11–13	0.02	16%	9 May →
dust2	11–13	-0.09	17%	3 May →
mirage	8–13	-0.05	24%	3 May →
ancient	4–13	-0.05	19%	3 May →
mirage	13–9	-0.02	18%	3 May →
dust2	6–13	-0.14	11%	3 May →
nuke	13–9	-0.04	13%	3 May →
cache	13–5	0.04	15%	3 May →
cache	13–3	-0.03	32%	2 May →
cache	9–13	-0.01	14%	2 May →
cache	13–4	-0.02	5%	2 May →