Lion Mommy — CS2 Stats

76561198148365140[U:1:188099412]✓ No bans

964Tracked matches48%Win rate2023Tracked since

896Hours in CS2Hrs last 2 wks

CSDB Rating4.2 Developing

Ladder ranks via Leetify

Performance scores

Aim37

Positioning47

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45–44–11Last 10045%Win rateWWLWWLLTLW

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

Player DNA

Aim3.7

Aggression4.5

Utility4.7

Positioning4.7

Opening Duels2.6

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 81% playstyle similarity

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

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

Reaction time. 685ms 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

Aim3.7

Positioning4.7

Utility4.7

Mechanics4.9

Opening Duels2.6

Win Impact4.4

Composite 4.2/10 (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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time685ms+32ms

first ⅓ avg 653ms → last ⅓ avg 685ms

Headshot accuracy15.6%−2.0%

first ⅓ avg 17.6% → last ⅓ avg 15.6%

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

0.11Best rating — vertigo 13–3

13–1Biggest win — vertigo

4Longest win streak

W2Current streak

4–10In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 67% over 9anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	20	8–12	40%	-0.03
inferno	D	15	5–10	33%	-0.04
cache	A	15	9–6	60%	-0.02
vertigo	S	9	6–3	67%	0.01
mirage	C	8	3–5	38%	-0.04
ancient	B	8	4–4	50%	-0.03
nuke	D	7	2–5	29%	-0.00
anubis	D	6	0–6	0%	-0.05
train	—	4	1–3	25%	-0.04
office	—	3	3–0	100%	0.00
overpass	—	2	2–0	100%	-0.02
italy	—	1	1–0	100%	-0.02
warden	—	1	0–1	0%	-0.02
alpine	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,050Lifetime kills

0.74K/D

1,670Matches

39.5%Match win rate

47.1%Headshot % · Top 50% of tracked players

0.0%Shot accuracy

1,840MVPs

556Hours (in match)

1,394Bombs planted

224Bombs defused

Most-used weapons

AK-478,387

M4A4 / M4A1-S4,623

MP91,686

MAC-101,161

P2000 / USP-S1,035

Glock-18993

AWP880

Galil AR665

Desert Eagle602

XM1014363

Lifetime map wins

2,745dust2

1,668inferno

1,340nuke

982vertigo

946train

263office

52italy

9ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

15.3%Headshot accuracy

29.8%Accuracy (enemy spotted)

34.1%Spray accuracy

72.0%Counter-strafing

10.9°Preaim

685msReaction time

36.3%T opening success

44.3%CT opening success

0.60Enemies flashed / flash

6.5%Flash assists

4.37HE damage / grenade

9.02Flashes / 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
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 36.2954% — 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.

0% win rate across 6 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
inferno	13–10	0.03	18%	24 Aug →
mirage	13–4	-0.02	47%	24 Aug →
dust2	9–13	-0.03	15%	24 Aug →
ancient	13–10	-0.01	14%	10 Aug →
cache	11–4	0.01	13%	10 Aug →
inferno	8–13	-0.05	12%	9 Aug →
vertigo	10–13	-0.02	11%	8 Aug →
anubis	12–12	-0.02	14%	8 Aug →
nuke	9–13	-0.02	27%	7 Aug →
train	13–11	-0.01	25%	7 Aug →
cache	13–10	-0.00	12%	7 Aug →
mirage	5–13	-0.04	4%	7 Aug →
dust2	8–2	0.03	13%	28 Jul →
dust2	13–5	-0.01	22%	28 Jul →
anubis	10–13	-0.07	8%	28 Jul →
cache	13–5	-0.04	6%	28 Jul →
anubis	1–13	-0.13	11%	27 Jul →
vertigo	8–13	0.02	15%	23 Jul →
ancient	4–13	-0.04	15%	23 Jul →
dust2	13–11	0.02	23%	23 Jul →
inferno	4–13	-0.04	10%	23 Jul →
ancient	13–9	0.01	14%	17 Jul →
dust2	12–12	-0.05	12%	17 Jul →
inferno	13–6	-0.01	11%	16 Jul →
inferno	3–13	-0.05	23%	16 Jul →
cache	2–13	-0.03	18%	16 Jul →
nuke	11–13	-0.04	18%	16 Jul →
ancient	4–13	-0.08	12%	16 Jul →
cache	12–12	-0.01	8%	13 Jul →
dust2	13–10	-0.04	10%	13 Jul →
vertigo	13–3	0.11	20%	6 Jul →
inferno	13–9	0.08	21%	5 Jul →
dust2	12–12	-0.02	14%	25 Jun →
vertigo	13–6	-0.01	15%	25 Jun →
vertigo	13–2	0.05	21%	25 Jun →
train	3–3	-0.04	40%	17 Jun →
train	9–13	-0.04	4%	17 Jun →
inferno	5–9	-0.09	10%	17 Jun →
inferno	3–9	-0.07	19%	17 Jun →
inferno	13–2	-0.03	13%	16 Jun →
dust2	13–9	-0.01	10%	16 Jun →
cache	13–8	-0.00	11%	16 Jun →
dust2	7–13	-0.05	9%	16 Jun →
cache	11–13	-0.00	11%	15 Jun →
anubis	5–13	-0.08	14%	12 Jun →
cache	13–4	0.01	16%	12 Jun →
dust2	5–13	-0.11	32%	8 Jun →
inferno	11–13	-0.01	13%	7 Jun →
inferno	4–13	-0.09	29%	1 Jun →
overpass	13–10	-0.01	11%	1 Jun →
vertigo	12–12	-0.08	17%	1 Jun →
ancient	13–11	0.00	19%	1 Jun →
dust2	13–6	0.01	18%	1 Jun →
mirage	13–10	-0.03	20%	22 May →
cache	13–11	0.02	9%	22 May →
inferno	11–13	-0.10	16%	21 May →
dust2	10–13	0.01	12%	21 May →
vertigo	13–9	-0.01	21%	21 May →
dust2	9–13	-0.09	19%	21 May →
mirage	10–13	-0.05	12%	21 May →
inferno	11–13	-0.05	16%	19 May →
mirage	11–13	-0.06	26%	18 May →
cache	8–13	-0.06	9%	4 May →
mirage	4–13	-0.04	20%	4 May →
cache	13–4	0.04	11%	29 Apr →
office	13–9	0.06	26%	29 Apr →
mirage	13–7	-0.04	21%	29 Apr →
office	13–4	-0.07	11%	29 Apr →
cache	5–13	-0.00	18%	29 Apr →
cache	13–9	-0.08	19%	29 Apr →
cache	5–13	-0.04	15%	29 Apr →
cache	13–7	-0.09	4%	29 Apr →
inferno	12–12	-0.11	25%	20 Apr →
dust2	6–13	-0.06	20%	20 Apr →
nuke	13–8	0.01	12%	20 Apr →
ancient	11–13	-0.04	11%	20 Apr →
vertigo	13–9	-0.01	7%	20 Apr →
dust2	13–2	-0.07	12%	20 Apr →
nuke	11–13	0.03	16%	20 Apr →
train	8–13	-0.06	15%	19 Apr →
nuke	13–5	0.01	38%	19 Apr →
ancient	10–13	-0.05	23%	19 Apr →
dust2	12–12	-0.03	15%	19 Apr →
anubis	12–12	-0.06	10%	19 Apr →
anubis	12–12	0.06	8%	10 Apr →
nuke	5–13	-0.03	16%	10 Apr →
italy	13–8	-0.02	20%	10 Apr →
vertigo	13–1	0.06	13%	10 Apr →
nuke	11–13	0.01	12%	10 Apr →
office	13–8	0.02	2%	10 Apr →
mirage	1–13	-0.06	31%	10 Apr →
dust2	5–13	-0.05	14%	10 Apr →
dust2	10–13	-0.05	25%	10 Apr →
ancient	13–6	-0.04	19%	10 Apr →
dust2	12–12	0.05	20%	10 Apr →
warden	12–12	-0.02	31%	8 Apr →
dust2	13–4	-0.05	24%	8 Apr →
overpass	13–5	-0.03	20%	8 Apr →
inferno	13–1	-0.03	17%	8 Apr →
alpine	13–2	0.04	36%	8 Apr →