mochiya ♡ — CS2 Stats

76561198226586800[U:1:266321072]Steam profile ↗1 game ban

1,760Tracked matches52%Win rate2020Tracked since

2,261Hours in CS

CSDB Rating7.0 StrongAggressive Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-27

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim98

Positioning75

Utility5

0–100 skill scores via Leetify.

Recent form

COLD54–33–13Last 10054%Win rateLLTWLLTTWW

Last 10 vs previous 10: -20pp win rate · -0.07 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.8

Aggression9.5

Utility0.5

Positioning7.5

Opening Duels5.8

Clutch3.2

Sharp aimerExcellent counter-strafingLimited utility dependence

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 donk 85% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.8

Positioning7.5

Utility0.5

Mechanics8.8

Opening Duels5.8

Win Impact5.7

Composite 7.0/10 (Strong), 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 rating0.07+0.00

first ⅓ avg 0.07 → last ⅓ avg 0.07

Reaction time511ms+0ms

first ⅓ avg 511ms → last ⅓ avg 511ms

Headshot accuracy26.9%−0.9%

first ⅓ avg 27.8% → last ⅓ avg 26.9%

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

0.29Best rating — inferno 13–6

13–1Biggest win — nuke

8Longest win streak

L2Current streak

6–2In matches decided by ≤2 rounds

Map breakdown

fachwerkBest map · 83% over 6dust2Weakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
office	B	17	8–9	47%	0.06
dust2	C	14	5–9	36%	0.08
vertigo	A	12	7–5	58%	0.07
cache	B	11	5–6	45%	0.08
mirage	A	11	6–5	55%	0.06
ancient	C	7	3–4	43%	0.02
inferno	S	6	4–2	67%	0.10
fachwerk	S	6	5–1	83%	0.10
nuke	S	5	4–1	80%	0.10
shelter	—	4	3–1	75%	0.12
train	—	4	1–3	25%	0.04
anubis	—	2	2–0	100%	0.04
overpass	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,460Lifetime kills

1.55K/D · Top 5% of tracked players

6,138Matches

46.5%Match win rate · Top 50% of tracked players

51.5%Headshot % · Top 50% of tracked players

15.7%Shot accuracy · Top 25% of tracked players

23,556MVPs

2,261Hours (in match)

3,633Bombs planted

1,860Bombs defused

Most-used weapons

AK-4749,539

AWP28,913

Desert Eagle21,920

M4A4 / M4A1-S15,035

P2000 / USP-S14,417

SSG 086,992

Glock-184,707

SG 5531,974

Knife1,956

P2501,778

Lifetime map wins

21,780dust2

3,295inferno

1,826nuke

1,200vertigo

1,183office

620train

197cbble

136italy

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

Faceit stats

Combat

145Matches

58%Win rate

1.49Avg K/D

89.9ADR

43%Headshot %

Clutches & streaks

36%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	25	60%	1.30	19.1
Ancient	15	60%	1.42	19.8
Dust2	8	50%	1.71	25.6
Anubis	7	57%	1.06	15.1
Vertigo	7	57%	1.35	20.3
Cache	6	67%	1.98	22.7
Inferno	5	60%	1.93	20.4
Nuke	5	60%	1.47	17.0

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.

25.7%Headshot accuracy

44.3%Accuracy (enemy spotted)

45.1%Spray accuracy

89.5%Counter-strafing

6.4°Preaim

498msReaction time

50.6%T opening success

55.8%CT opening success

0.20Enemies flashed / flash

0.0%Flash assists

1.08HE damage / grenade

0.27Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
ancient	3–13	0.02	36%	9 Aug →
cache	10–13	0.02	15%	9 Aug →
dust2	12–12	0.03	20%	31 Jul →
inferno	13–7	0.12	16%	31 Jul →
dust2	2–13	-0.03	25%	31 Jul →
vertigo	6–13	-0.04	23%	31 Jul →
mirage	12–12	0.01	32%	31 Jul →
ancient	12–12	0.03	30%	31 Jul →
vertigo	13–3	0.02	33%	31 Jul →
vertigo	13–4	0.01	13%	31 Jul →
vertigo	5–9	0.01	24%	30 Jul →
office	10–13	0.04	30%	30 Jul →
office	7–13	0.11	26%	30 Jul →
vertigo	6–13	0.06	9%	30 Jul →
cache	6–13	0.12	29%	30 Jul →
fachwerk	13–6	0.12	18%	30 Jul →
office	13–11	0.04	21%	29 Jul →
vertigo	13–11	0.06	16%	29 Jul →
vertigo	13–7	0.05	22%	27 Jul →
inferno	13–6	0.29	25%	26 Jul →
vertigo	13–3	0.26	50%	26 Jul →
office	6–13	0.05	41%	26 Jul →
cache	6–13	0.01	24%	26 Jul →
dust2	13–3	0.22	32%	26 Jul →
vertigo	3–13	0.04	25%	26 Jul →
office	12–12	0.06	26%	26 Jul →
dust2	12–12	0.11	36%	25 Jul →
fachwerk	13–6	0.15	31%	25 Jul →
office	13–11	0.09	26%	25 Jul →
vertigo	13–2	-0.01	25%	25 Jul →
nuke	13–3	0.09	31%	25 Jul →
dust2	13–3	0.08	29%	25 Jul →
mirage	13–4	0.12	50%	25 Jul →
fachwerk	13–2	0.03	25%	24 Jul →
anubis	13–4	-0.01	22%	24 Jul →
shelter	12–12	0.09	34%	24 Jul →
dust2	1–13	0.05	45%	24 Jul →
dust2	12–12	0.08	31%	24 Jul →
cache	13–8	0.14	19%	24 Jul →
office	13–5	0.01	37%	23 Jul →
train	4–13	0.11	32%	23 Jul →
mirage	10–13	0.08	19%	23 Jul →
dust2	13–4	0.17	29%	23 Jul →
mirage	13–9	0.07	36%	23 Jul →
nuke	12–12	0.06	40%	23 Jul →
dust2	13–5	0.18	30%	23 Jul →
mirage	8–13	0.01	30%	22 Jul →
dust2	9–13	-0.04	40%	22 Jul →
office	6–13	0.00	33%	22 Jul →
dust2	6–13	0.07	33%	22 Jul →
nuke	13–1	0.17	34%	22 Jul →
nuke	13–1	0.16	30%	22 Jul →
mirage	13–11	0.09	30%	22 Jul →
office	12–12	0.11	19%	21 Jul →
ancient	13–6	-0.05	21%	21 Jul →
dust2	4–13	-0.03	11%	21 Jul →
cache	6–13	0.06	23%	21 Jul →
mirage	6–13	0.05	26%	21 Jul →
mirage	13–7	0.11	30%	21 Jul →
vertigo	13–8	0.17	26%	21 Jul →
office	13–10	0.11	27%	21 Jul →
inferno	4–13	-0.03	22%	20 Jul →
office	3–13	0.16	34%	20 Jul →
train	11–13	0.04	28%	20 Jul →
ancient	11–13	0.00	11%	20 Jul →
anubis	13–10	0.08	20%	19 Jul →
mirage	13–9	-0.02	10%	19 Jul →
mirage	12–12	0.01	16%	19 Jul →
nuke	13–10	0.02	43%	19 Jul →
dust2	10–13	0.09	21%	19 Jul →
office	7–13	0.03	29%	19 Jul →
vertigo	9–13	0.15	19%	19 Jul →
cache	13–9	0.20	27%	19 Jul →
office	13–11	0.02	30%	19 Jul →
cache	12–12	0.08	39%	18 Jul →
ancient	13–2	-0.03	10%	18 Jul →
train	3–13	-0.05	27%	17 Jul →
cache	13–10	0.10	39%	17 Jul →
overpass	13–4	0.01	35%	17 Jul →
shelter	13–6	0.07	33%	17 Jul →
office	8–13	-0.00	29%	17 Jul →
cache	12–12	0.03	15%	17 Jul →
inferno	13–4	0.18	40%	16 Jul →
ancient	10–13	0.02	30%	16 Jul →
fachwerk	13–7	0.15	20%	16 Jul →
office	13–1	-0.01	33%	16 Jul →
shelter	13–1	0.12	22%	15 Jul →
office	13–5	0.11	42%	15 Jul →
cache	13–5	0.07	33%	15 Jul →
train	13–11	0.04	31%	15 Jul →
fachwerk	10–13	-0.02	14%	15 Jul →
dust2	13–3	0.10	33%	15 Jul →
fachwerk	13–1	0.19	26%	14 Jul →
inferno	13–2	0.04	38%	14 Jul →
cache	13–5	0.03	39%	14 Jul →
mirage	13–4	0.08	25%	14 Jul →
inferno	12–12	0.02	26%	14 Jul →
office	13–4	0.06	25%	14 Jul →
shelter	13–10	0.19	21%	14 Jul →
ancient	13–5	0.14	7%	14 Jul →