mOCHA

mOCHA — CS2 Stats

CN76561198121085124[U:1:160819396]Steam profile ↗✓ No bans

1,813Tracked matches57%Win rate2020Tracked since
5,786Hours in CS1Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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

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Performance scores

Aim84
Positioning57
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWWLWLLWLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −5.0pp headshot accuracy · −17ms reaction

Win rate down 20pp 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 -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 583ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 571ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 580ms

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 (+1.4 against its own average).

Aim8.4
Utility5.3
Positioning5.7
Opening Duels4.5
Clutch1.8

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower 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

Areas to improve

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

Reaction time. 578ms 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

Aim8.4
Positioning5.7
Utility5.3
Mechanics6.9
Opening Duels5.1
Win Impact7.2

Composite 6.7/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time572ms−12ms
first ⅓ avg 583ms → last ⅓ avg 572ms
Headshot accuracy22.5%+1.8%
first ⅓ avg 20.8% → last ⅓ avg 22.5%

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

0.20Best match rating · 13–5 · mirage, 27 Jul →
38%Best headshot accuracy · 5–13 · ancient, 21 Aug →
398msFastest reaction time · 11–13 · dust2, 21 Aug →
13–2Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
9–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 82% over 17dust2Weakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB3114–1745%0.02
ancientB2312–1152%-0.01
dust2D186–1233%-0.00
infernoS1714–382%0.00
anubisA85–363%-0.02
nuke—11–0100%-0.02
cache—10–10%-0.02
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

152,179Lifetime kills
1.01K/D
7,647Matches
45.4%Match win rate
41.0%Headshot %
13.9%Shot accuracy
20,928MVPs
3,092Hours (in match)
3,619Bombs planted
1,387Bombs defused

Most-used weapons

AK-4738,713
AWP36,583
SSG 085,557
Knife4,525
P2503,974
Tec-92,199

Lifetime map wins

11,861dust2
7,148inferno
1,049nuke
858train
838vertigo
662lake
479cbble
269office

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

Faceit stats

Combat

932Matches
51%Win rate
1.17Avg K/D
88.6ADR
46%Headshot %

Clutches & streaks

29%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage21048%1.2418.9
Ancient11358%1.2218.2
Inferno9152%1.1917.3
Anubis8951%1.1818.3
Overpass4755%1.2718.5
Dust24637%0.9715.9
Vertigo2365%1.0015.9
Nuke743%0.8814.3

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.

22.7%Headshot accuracy
38.1%Accuracy (enemy spotted)
40.8%Spray accuracy
80.9%Counter-strafing
9.3°Preaim
578msReaction time
49.6%T opening success
51.4%CT opening success
0.56Enemies flashed / flash
8.0%Flash assists
10.21HE damage / grenade
8.67Flashes / match

Recommended for you

Spend your practice time on Dust 2

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 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–5-0.0412%24 Oct →
inferno13–6-0.0526%15 Oct →
anubis8–13-0.0324%14 Oct →
anubis13–9-0.0215%14 Oct →
ancient6–13-0.0334%7 Oct →
ancient9–130.0519%4 Oct →
mirage13–90.0717%4 Oct →
mirage13–16-0.019%3 Oct →
mirage13–110.0320%3 Oct →
ancient10–13-0.0320%2 Oct →
anubis13–10-0.0328%2 Oct →
mirage7–130.0422%1 Oct →
inferno13–80.0625%1 Oct →
nuke13–11-0.0227%1 Oct →
mirage13–60.1026%27 Sept →
dust29–130.0325%19 Sept →
ancient13–11-0.0218%19 Sept →
ancient13–9-0.0229%18 Sept →
mirage12–160.0326%11 Sept →
ancient13–70.0320%9 Sept →
mirage11–130.0433%8 Sept →
anubis7–13-0.0820%7 Sept →
inferno13–90.0235%7 Sept →
dust26–13-0.0425%7 Sept →
mirage19–160.0323%4 Sept →
anubis13–11-0.0125%4 Sept →
inferno13–11-0.0619%4 Sept →
dust29–13-0.0313%4 Sept →
anubis13–40.0626%2 Sept →
dust210–13-0.0226%31 Aug →
dust213–80.0524%30 Aug →
mirage13–50.1217%30 Aug →
dust213–10-0.0418%30 Aug →
anubis13–40.0029%29 Aug →
ancient10–130.0119%27 Aug →
mirage10–13-0.0021%24 Aug →
ancient13–8-0.0715%24 Aug →
inferno13–110.0414%23 Aug →
ancient13–8-0.0313%23 Aug →
dust214–16-0.0321%22 Aug →
inferno13–30.0330%22 Aug →
mirage13–16-0.0317%21 Aug →
ancient5–13-0.0538%21 Aug →
dust211–13-0.0122%21 Aug →
ancient13–110.0416%20 Aug →
ancient2–13-0.0117%20 Aug →
inferno5–130.0128%20 Aug →
mirage5–13-0.0223%20 Aug →
dust29–130.0135%19 Aug →
mirage5–13-0.0211%18 Aug →
ancient13–80.0027%18 Aug →
mirage6–13-0.0516%13 Aug →
mirage13–90.0316%13 Aug →
ancient22–19-0.0125%11 Aug →
mirage10–130.0318%6 Aug →
inferno13–90.0324%6 Aug →
ancient13–70.0422%4 Aug →
ancient10–13-0.0619%1 Aug →
inferno13–60.0422%1 Aug →
dust214–160.0538%1 Aug →
dust213–100.0316%1 Aug →
dust213–30.1727%1 Aug →
inferno13–110.0124%31 Jul →
mirage13–70.0226%31 Jul →
ancient7–13-0.018%30 Jul →
mirage13–50.0222%30 Jul →
mirage13–90.0528%29 Jul →
mirage10–13-0.0116%28 Jul →
inferno5–13-0.0522%28 Jul →
mirage13–50.2023%27 Jul →
ancient19–22-0.0123%27 Jul →
inferno13–20.0120%24 Jul →
mirage11–13-0.0122%24 Jul →
ancient13–7-0.0415%23 Jul →
mirage13–8-0.0515%22 Jul →
inferno13–5-0.0331%22 Jul →
inferno7–13-0.0134%16 Jul →
mirage12–16-0.0413%16 Jul →
mirage11–130.0127%16 Jul →
inferno13–2-0.0526%16 Jul →
anubis20–22-0.0417%13 Jul →
dust29–130.0221%11 Jul →
dust28–13-0.0425%11 Jul →
ancient5–130.0117%11 Jul →
ancient12–16-0.0217%9 Jul →
dust27–13-0.0315%29 Jun →
mirage9–13-0.0111%28 Jun →
inferno13–80.0116%27 Jun →
cache9–13-0.0216%27 Jun →
mirage13–90.0130%27 Jun →
inferno13–70.0323%26 Jun →
mirage6–13-0.0423%26 Jun →
dust213–11-0.0220%26 Jun →
mirage6–13-0.0121%22 Jun →
mirage13–90.0619%22 Jun →
ancient16–130.0216%21 Jun →
dust22–13-0.0713%20 Jun →
overpass13–10-0.0126%20 Jun →
mirage13–10-0.0420%19 Jun →
dust213–9-0.0333%25 May →

Match data via Leetify.

Recent teammates

Milestones

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

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