Moo Moo Cow, CFA

Moo Moo Cow, CFA — CS2 Stats

76561198275972328[U:1:315706600]Steam profile ↗

929Tracked matches53%Win rate2023Tracked since
CSDB Rating4.6 DevelopingPassive Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGMoo Moo Cow, CFAFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning35
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateWWLLWLWWLW

Last 10 vs previous 10: +30pp win rate · -0.04 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.2
Aggression3.2
Utility3.5
Positioning3.5
Opening Duels0.0
Clutch2.6

Strong CT-side opener

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

NiKo

Plays most like NiKo 76% 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

T-side openings. Opening success drops from 35% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim6.2
Positioning3.5
Utility3.5
Mechanics5.3
Opening Duels0.6
Win Impact6.1

Composite 4.6/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time601ms−44ms
first ⅓ avg 645ms → last ⅓ avg 601ms
Headshot accuracy15.0%+4.0%
first ⅓ avg 10.9% → last ⅓ avg 15.0%

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

0.15Best rating — fachwerk 13–4
130Biggest win — anubis
6Longest win streak
W2Current streak
82In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 60% over 5dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB189950%-0.06
cacheB147750%-0.01
dust2D124833%-0.03
nukeA116555%-0.05
ancientC73443%-0.04
shelterC73443%0.00
overpassC73443%-0.04
anubisA53260%-0.00
poseidon3030%-0.05
vertigo330100%0.04
boulder21150%-0.05
italy2020%-0.06
office220100%0.01
train2020%0.03
mirage2020%-0.01
debris110100%-0.10
fachwerk110100%0.15
sanctum110100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
67%Win rate
0.50Avg K/D
46.9ADR
20%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.7110.0
Train1100%0.507.0
Nuke10%0.294.0

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.

14.5%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.2%Spray accuracy
74.0%Counter-strafing
9.2°Preaim
594msReaction time
19.3%T opening success
34.5%CT opening success
0.43Enemies flashed / flash
2.0%Flash assists
8.29HE damage / grenade
6.07Flashes / 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. 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 14.5166% — below the 15% mark we flag

    Aim Training
  2. 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 0.4347 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 19.2932% — below the 40% mark we flag

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

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
boulder13–8-0.058%28 Aug
ancient13–11-0.039%28 Aug
poseidon3–9-0.1830%28 Aug
poseidon6–9-0.038%24 Aug
debris9–3-0.100%24 Aug
inferno3–9-0.2013%24 Aug
shelter13–40.1212%11 Aug
cache13–11-0.0211%11 Aug
italy7–13-0.0519%8 Aug
shelter13–3-0.0213%8 Aug
italy8–13-0.0610%4 Aug
boulder6–13-0.0623%4 Aug
fachwerk13–40.1512%2 Aug
shelter8–130.0015%27 Jul
shelter6–13-0.0228%25 Jul
shelter7–13-0.0516%22 Jul
inferno8–13-0.0310%14 Jul
nuke9–60.0211%12 Jul
nuke16–14-0.038%12 Jul
dust24–13-0.0728%12 Jul
inferno7–13-0.0115%12 Jul
shelter3–13-0.0416%11 Jul
shelter13–100.0112%11 Jul
cache13–6-0.0515%11 Jul
office13–30.0421%5 Jul
nuke2–9-0.2015%4 Jul
inferno1–9-0.1220%4 Jul
dust25–13-0.0114%3 Jul
cache13–110.0320%3 Jul
office13–7-0.0229%3 Jul
train6–130.0915%3 Jul
cache5–13-0.097%3 Jul
sanctum9–6-0.0312%3 Jul
inferno9–40.052%2 Jul
cache13–11-0.056%2 Jul
anubis13–90.0210%1 Jul
anubis13–60.0319%1 Jul
inferno9–5-0.098%29 Jun
nuke5–9-0.0212%29 Jun
inferno14–16-0.0219%27 Jun
nuke16–14-0.028%27 Jun
ancient2–13-0.120%27 Jun
inferno13–11-0.0515%26 Jun
inferno13–5-0.0510%26 Jun
poseidon6–90.0614%26 Jun
inferno6–9-0.194%26 Jun
nuke5–9-0.130%26 Jun
nuke13–60.015%21 Jun
inferno13–5-0.065%21 Jun
anubis2–13-0.0414%21 Jun
cache8–13-0.0111%19 Jun
inferno16–12-0.0816%19 Jun
ancient13–110.0012%18 Jun
inferno9–13-0.008%18 Jun
dust27–13-0.077%16 Jun
inferno5–13-0.0913%16 Jun
nuke13–100.0118%14 Jun
overpass13–70.0210%14 Jun
nuke13–1-0.0216%14 Jun
cache13–40.0314%14 Jun
dust215–150.0219%14 Jun
dust213–60.019%13 Jun
vertigo13–50.0811%13 Jun
inferno9–20.1317%13 Jun
anubis7–13-0.114%6 Jun
ancient6–13-0.0619%6 Jun
dust27–13-0.0123%6 Jun
overpass8–13-0.0610%5 Jun
inferno9–13-0.1017%5 Jun
inferno9–6-0.0612%3 Jun
overpass10–13-0.0612%2 Jun
ancient6–13-0.0127%1 Jun
ancient11–13-0.044%1 Jun
dust213–6-0.0316%1 Jun
cache6–13-0.018%1 Jun
dust210–13-0.0518%29 May
nuke6–13-0.129%29 May
anubis13–00.094%29 May
overpass13–70.0313%29 May
cache13–100.0022%29 May
mirage5–13-0.0313%28 May
dust25–13-0.0616%26 May
vertigo9–60.079%26 May
overpass13–70.0413%24 May
vertigo13–10-0.023%24 May
ancient13–80.0110%24 May
dust26–13-0.0414%24 May
cache12–120.025%24 May
cache13–100.016%24 May
dust213–9-0.035%23 May
overpass6–9-0.1415%23 May
overpass4–9-0.159%23 May
train3–13-0.0328%23 May
mirage12–120.015%23 May
inferno13–6-0.012%23 May
dust213–8-0.0211%23 May
cache2–13-0.093%22 May
nuke5–13-0.053%22 May
cache12–12-0.0210%20 May
cache8–130.0411%19 May

Match data via Leetify.

Recent teammates

Milestones

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