MOM'S TOUCH LOVER — CS2 Stats

KR76561199444368868[U:1:1484103140]Steam profile ↗✓ No bans

94Tracked matches45%Win rate2024Tracked since

145Hours in CS

CSDB Rating2.0 Learning

Ladder ranks via Leetify

Performance scores

Aim13

Positioning36

Utility28

0–100 skill scores via Leetify.

Recent form

COLD33–53–8Last 9435%Win rateLLLLLWWLWL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Aim1.3

Aggression1.9

Utility2.8

Positioning3.6

Opening Duels0.0

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 59% playstyle similarity

Most alike: positioning profile, 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. 680ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim1.3

Positioning3.6

Utility2.8

Mechanics1.0

Opening Duels0.0

Win Impact3.3

Composite 2.0/10 (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-0.03+0.02

first ⅓ avg -0.06 → last ⅓ avg -0.03

Reaction time690ms+2ms

first ⅓ avg 688ms → last ⅓ avg 690ms

Headshot accuracy14.2%−1.5%

first ⅓ avg 15.7% → last ⅓ avg 14.2%

Rolling 5-match average across the last 94 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.07Best rating — office 5–0

13–0Biggest win — anubis

3Longest win streak

L5Current streak

3–5In matches decided by ≤2 rounds

Map breakdown

officeBest map · 80% over 5mirageWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	38	12–26	32%	-0.04
inferno	B	14	7–7	50%	-0.04
mirage	D	11	2–9	18%	-0.07
anubis	C	7	3–4	43%	-0.04
vertigo	D	6	2–4	33%	-0.05
office	S	5	4–1	80%	-0.00
overpass	—	4	1–3	25%	-0.03
train	—	3	2–1	67%	-0.07
nuke	—	2	0–2	0%	-0.06
ancient	—	2	0–2	0%	-0.09
cache	—	1	0–1	0%	-0.09
agency	—	1	0–1	0%	-0.04

Across the last 94 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,480Lifetime kills

0.70K/D

402Matches

45.3%Match win rate

41.0%Headshot %

0.6%Shot accuracy

537MVPs

145Hours (in match)

317Bombs planted

46Bombs defused

Most-used weapons

AK-47939

M4A4 / M4A1-S895

AWP336

P2000 / USP-S311

MAC-10217

XM1014178

Glock-18170

FAMAS150

Desert Eagle144

MP9142

Lifetime map wins

1,426dust2

696inferno

278vertigo

229nuke

85train

71office

39italy

3cbble

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.

14.6%Headshot accuracy

24.5%Accuracy (enemy spotted)

27.7%Spray accuracy

54.5%Counter-strafing

12.4°Preaim

680msReaction time

17.3%T opening success

28.3%CT opening success

0.54Enemies flashed / flash

7.2%Flash assists

7.51HE damage / grenade

2.69Flashes / 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 12.3557° — 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 14.6276% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.6894 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	0.01	16%	3 Aug →
dust2	0–13	-0.06	0%	3 Aug →
vertigo	6–13	-0.02	14%	3 Aug →
anubis	11–13	-0.10	10%	22 Jul →
anubis	4–13	-0.09	18%	22 Jul →
anubis	13–2	-0.06	5%	26 Jun →
office	12–3	-0.00	19%	26 Jun →
mirage	5–13	-0.07	14%	19 Jun →
train	8–2	-0.04	0%	19 Jun →
cache	5–13	-0.09	14%	13 May →
dust2	7–13	-0.13	8%	13 May →
dust2	5–13	-0.02	17%	20 Apr →
dust2	2–10	-0.04	15%	20 Apr →
inferno	13–11	-0.01	9%	16 Apr →
inferno	9–13	-0.02	6%	16 Apr →
inferno	8–13	-0.02	12%	12 Apr →
office	13–4	0.03	23%	10 Apr →
anubis	13–0	0.02	33%	10 Apr →
vertigo	13–1	0.04	18%	10 Apr →
dust2	12–12	-0.03	27%	10 Apr →
dust2	13–7	-0.03	18%	10 Apr →
dust2	9–13	-0.05	13%	9 Apr →
dust2	13–8	-0.02	8%	6 Apr →
inferno	13–7	0.02	14%	6 Apr →
dust2	13–9	0.04	19%	1 Apr →
vertigo	7–13	-0.04	14%	1 Apr →
anubis	10–13	-0.01	16%	1 Apr →
office	13–11	-0.08	13%	1 Jan →
office	5–0	0.07	17%	1 Jan →
vertigo	9–13	-0.09	24%	1 Jan →
dust2	3–13	-0.09	6%	1 Jan →
inferno	1–11	-0.12	0%	9 Dec →
office	9–13	-0.04	16%	26 Nov →
nuke	3–13	-0.11	7%	23 Nov →
dust2	13–7	0.06	20%	22 Nov →
overpass	8–13	-0.02	14%	17 Nov →
anubis	13–7	0.00	12%	10 Nov →
dust2	13–3	-0.02	0%	10 Nov →
mirage	7–13	-0.04	11%	10 Nov →
inferno	13–10	-0.07	18%	5 Nov →
dust2	13–5	-0.05	9%	4 Nov →
inferno	13–4	0.00	19%	4 Nov →
mirage	7–13	-0.07	9%	4 Nov →
dust2	13–3	-0.05	33%	4 Nov →
mirage	11–13	-0.03	12%	2 Nov →
inferno	4–13	-0.09	29%	2 Nov →
dust2	8–13	-0.03	11%	2 Nov →
mirage	3–13	-0.12	0%	22 Oct →
dust2	13–9	-0.11	6%	22 Oct →
dust2	5–13	-0.06	13%	21 Oct →
overpass	8–13	-0.06	11%	20 Oct →
inferno	13–4	0.04	15%	20 Oct →
dust2	6–13	0.00	33%	20 Oct →
mirage	13–10	-0.08	13%	18 Oct →
anubis	11–13	-0.03	16%	18 Oct →
ancient	9–13	-0.09	15%	18 Oct →
dust2	13–7	-0.08	27%	18 Oct →
inferno	13–8	-0.02	21%	18 Oct →
dust2	5–13	-0.04	13%	18 Oct →
overpass	13–7	-0.02	17%	30 Sept →
mirage	12–12	-0.08	12%	30 Sept →
dust2	11–13	-0.09	25%	30 Sept →
dust2	10–13	-0.06	21%	27 Sept →
overpass	6–13	-0.04	22%	27 Sept →
dust2	12–12	-0.00	15%	21 Sept →
ancient	1–13	-0.08	18%	17 Sept →
dust2	8–13	-0.03	5%	17 Sept →
dust2	13–4	-0.08	14%	25 Aug →
inferno	13–8	-0.08	29%	20 Aug →
dust2	12–12	-0.03	19%	28 May →
agency	8–13	-0.04	16%	26 May →
mirage	10–13	-0.08	27%	21 May →
dust2	12–12	-0.09	13%	15 Apr →
dust2	10–13	0.01	14%	14 Apr →
dust2	12–12	-0.04	17%	9 Apr →
dust2	13–8	-0.06	15%	9 Apr →
inferno	7–13	-0.05	10%	1 Mar →
dust2	12–12	-0.00	18%	21 Feb →
inferno	8–13	0.03	24%	10 Feb →
dust2	10–13	-0.02	10%	7 Feb →
dust2	4–13	-0.07	25%	7 Feb →
mirage	4–13	-0.09	8%	2 Jan →
mirage	13–9	-0.04	18%	1 Dec →
train	2–13	-0.11	13%	28 Nov →
nuke	12–12	-0.02	11%	27 Nov →
dust2	8–13	-0.12	6%	27 Nov →
mirage	4–13	-0.09	13%	19 Nov →
dust2	13–9	-0.04	17%	19 Nov →
train	13–11	-0.06	26%	19 Nov →
dust2	7–13	-0.06	17%	8 Nov →
vertigo	2–13	-0.09	8%	31 Oct →
dust2	7–13	-0.11	8%	29 Oct →
inferno	2–9	-0.09	24%	19 Oct →
vertigo	13–3	-0.06	10%	7 Oct →