mochiya

mochiya — CS2 Stats

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

1,766Tracked matches52%Win rate2020Tracked since
4,999Hours in CS4Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 1,766
−0.2ppWin rate · 52.0% → 51.8%

Rating over time

22Days played since 2026-07-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches19——
Win rate58%——
K/D1.89——
Headshot %53%——

Measured 3 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,773), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate51.5%46.8%48.2%above
Shot accuracy15.7%13.0%13.3%above
Kill/death ratio1.551.061.07above
Match win rate46.5%46.3%46.9%meets

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGmochiyaFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim98
Positioning78
Utility6

0–100 skill scores via Leetify.

Recent form

STEADY53–35–12Last 10053%Win rateLWWLWWLLTW

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · −1.4pp headshot accuracy · −27ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.13
  • Avg headshot accuracy 25%
  • Avg reaction 453ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 23%
  • Avg reaction 463ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 476ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+3.2 against its own average).

Aim9.8
Utility0.6
Positioning7.8
Opening Duels6.8
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ropz

Plays most like ropz 52% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: higher opening-duel success; 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
Positioning7.8
Utility0.6
Mechanics8.7
Opening Duels6.0
Win Impact5.6

Composite 7.1/10 (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+0.02
first ⅓ avg 0.06 → last ⅓ avg 0.07
Reaction time498ms−23ms
first ⅓ avg 521ms → last ⅓ avg 498ms
Headshot accuracy25.4%−1.8%
first ⅓ avg 27.2% → last ⅓ avg 25.4%

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.

Personal bests

0.29Best match rating · 13–6 · inferno, 26 Jul →
50%Best headshot accuracy · 13–3 · vertigo, 26 Jul →
313msFastest reaction time · 7–13 · office, 19 Jul →
13–1Biggest win · nuke, 22 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–2In matches decided by ≤2 rounds

Map breakdown

fachwerkBest map · 86% over 7ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
officeB189–950%0.05
dust2C156–940%0.08
vertigoA127–558%0.07
cacheC114–736%0.08
mirageB105–550%0.05
fachwerkS76–186%0.12
infernoS64–267%0.11
ancientD62–433%-0.00
nukeS54–180%0.10
train—41–325%0.04
shelter—32–167%0.10
anubis—22–0100%0.04
overpass—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,740Lifetime kills
1.55K/D · Top 5% of Level 8 players
6,157Matches
46.5%Match win rate · Top 50% of Level 8 players
51.5%Headshot % · Top 50% of Level 8 players
15.7%Shot accuracy · Top 50% of Level 8 players
23,614MVPs
2,264Hours (in match)
3,638Bombs planted
1,865Bombs defused

Most-used weapons

AK-4749,647
AWP28,936
SSG 087,001
SG 5531,975
Knife1,956
P2501,778

Lifetime map wins

21,793dust2
3,304inferno
1,826nuke
1,201office
1,200vertigo
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

MapMatchesWin rateAvg K/DAvg kills
Mirage2560%1.3019.1
Ancient1560%1.4219.8
Dust2850%1.7125.6
Vertigo757%1.3520.3
Anubis757%1.0615.1
Cache667%1.9822.7
Inferno560%1.9320.4
Nuke560%1.4717.0

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.

25.0%Headshot accuracy
44.4%Accuracy (enemy spotted)
45.6%Spray accuracy
89.2%Counter-strafing
6.5°Preaim
489msReaction time
51.0%T opening success
56.8%CT opening success
0.24Enemies flashed / flash
3.0%Flash assists
1.63HE damage / grenade
0.31Flashes / 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.

  1. 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 0.2406 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–130.0519%5 Oct →
dust213–40.2027%5 Oct →
office13–90.0623%2 Oct →
inferno9–130.0927%30 Sept →
fachwerk13–50.2430%9 Sept →
office5–1-0.0217%9 Sept →
ancient3–130.0236%9 Aug →
cache10–130.0215%9 Aug →
dust212–120.0320%31 Jul →
inferno13–70.1216%31 Jul →
dust22–13-0.0325%31 Jul →
vertigo6–13-0.0423%31 Jul →
mirage12–120.0132%31 Jul →
ancient12–120.0330%31 Jul →
vertigo13–30.0233%31 Jul →
vertigo13–40.0113%31 Jul →
vertigo5–90.0124%30 Jul →
office10–130.0430%30 Jul →
office7–130.1126%30 Jul →
vertigo6–130.069%30 Jul →
cache6–130.1229%30 Jul →
fachwerk13–60.1218%30 Jul →
office13–110.0421%29 Jul →
vertigo13–110.0616%29 Jul →
vertigo13–70.0522%27 Jul →
inferno13–60.2925%26 Jul →
vertigo13–30.2650%26 Jul →
office6–130.0541%26 Jul →
cache6–130.0124%26 Jul →
dust213–30.2232%26 Jul →
vertigo3–130.0425%26 Jul →
office12–120.0626%26 Jul →
dust212–120.1136%25 Jul →
fachwerk13–60.1531%25 Jul →
office13–110.0926%25 Jul →
vertigo13–2-0.0125%25 Jul →
nuke13–30.0931%25 Jul →
dust213–30.0829%25 Jul →
mirage13–40.1250%25 Jul →
fachwerk13–20.0325%24 Jul →
anubis13–4-0.0122%24 Jul →
shelter12–120.0934%24 Jul →
dust21–130.0545%24 Jul →
dust212–120.0831%24 Jul →
cache13–80.1419%24 Jul →
office13–50.0137%23 Jul →
train4–130.1132%23 Jul →
mirage10–130.0819%23 Jul →
dust213–40.1729%23 Jul →
mirage13–90.0736%23 Jul →
nuke12–120.0640%23 Jul →
dust213–50.1830%23 Jul →
mirage8–130.0130%22 Jul →
dust29–13-0.0440%22 Jul →
office6–130.0033%22 Jul →
dust26–130.0733%22 Jul →
nuke13–10.1734%22 Jul →
nuke13–10.1630%22 Jul →
mirage13–110.0930%22 Jul →
office12–120.1119%21 Jul →
ancient13–6-0.0521%21 Jul →
dust24–13-0.0311%21 Jul →
cache6–130.0623%21 Jul →
mirage6–130.0526%21 Jul →
mirage13–70.1130%21 Jul →
vertigo13–80.1726%21 Jul →
office13–100.1127%21 Jul →
inferno4–13-0.0322%20 Jul →
office3–130.1634%20 Jul →
train11–130.0428%20 Jul →
ancient11–130.0011%20 Jul →
anubis13–100.0820%19 Jul →
mirage13–9-0.0210%19 Jul →
mirage12–120.0116%19 Jul →
nuke13–100.0243%19 Jul →
dust210–130.0921%19 Jul →
office7–130.0329%19 Jul →
vertigo9–130.1519%19 Jul →
cache13–90.2027%19 Jul →
office13–110.0230%19 Jul →
cache12–120.0839%18 Jul →
ancient13–2-0.0310%18 Jul →
train3–13-0.0527%17 Jul →
cache13–100.1039%17 Jul →
overpass13–40.0135%17 Jul →
shelter13–60.0733%17 Jul →
office8–13-0.0029%17 Jul →
cache12–120.0315%17 Jul →
inferno13–40.1840%16 Jul →
ancient10–130.0230%16 Jul →
fachwerk13–70.1520%16 Jul →
office13–1-0.0133%16 Jul →
shelter13–10.1222%15 Jul →
office13–50.1142%15 Jul →
cache13–50.0733%15 Jul →
train13–110.0431%15 Jul →
fachwerk10–13-0.0214%15 Jul →
dust213–30.1033%15 Jul →
fachwerk13–10.1926%14 Jul →
inferno13–20.0438%14 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.