moosenaround

moosenaround — CS2 Stats

76561199096743304[U:1:1136477576]Steam profile ↗

841Tracked matches56%Win rate2023Tracked since
CSDB Rating4.6 Developing
Premier CS Rating18,157Purple band · top ~15.8% of ranked players (population est.)
CSDB Leaderboard#4340 of 7860 tracked
Ladder ranks via Leetify

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CSDB.GGmoosenaroundPREMIER18,157 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning42
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY464311Last 10046%Win rateWLLWWWLLLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim4.8
Aggression3.6
Utility5.7
Positioning4.2
Opening Duels0.0
Clutch4.8

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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 36% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.8
Positioning4.2
Utility5.7
Mechanics4.4
Opening Duels0.8
Win Impact6.9

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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time569ms+11ms
first ⅓ avg 558ms → last ⅓ avg 569ms
Headshot accuracy14.3%+0.6%
first ⅓ avg 13.7% → last ⅓ avg 14.3%

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

0.09Best rating — mirage 12–12
130Biggest win — anubis
8Longest win streak
74In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 86% over 7dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC167944%-0.03
mirageC146843%-0.01
cacheA127558%-0.02
anubisC94544%-0.02
overpassC94544%-0.02
ancientB84450%-0.04
dust2D81713%-0.03
trainC83538%-0.00
nukeS76186%-0.03
vertigoD62433%-0.00
warden110100%0.01
office1010%-0.00
golden110100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

54Matches
65%Win rate
1.06Avg K/D
81.7ADR
38%Headshot %

Clutches & streaks

44%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21267%1.3117.8
Anubis1164%1.0215.8
Mirage967%0.8913.9
Inferno875%1.0215.9
Ancient540%1.0916.2
Cache475%0.9612.8
Train367%0.9417.7
Nuke250%1.1315.0

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.

13.1%Headshot accuracy
32.4%Accuracy (enemy spotted)
39.0%Spray accuracy
69.9%Counter-strafing
12.1°Preaim
567msReaction time
20.8%T opening success
36.2%CT opening success
0.62Enemies flashed / flash
5.9%Flash assists
7.34HE damage / grenade
10.78Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0745° — above the 12° mark we flag

    Aim Training
  2. 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 13.1407% — below the 15% mark we flag

    Aim Training
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0412%28 Aug
inferno11–13-0.0511%28 Aug
dust210–13-0.0524%28 Aug
nuke13–6-0.0117%27 Aug
cache13–10-0.069%27 Aug
anubis13–0-0.0614%27 Aug
cache9–130.0113%24 Aug
ancient9–13-0.0311%24 Aug
dust25–13-0.0715%24 Aug
cache5–13-0.0318%20 Aug
ancient13–10-0.047%20 Aug
dust215–15-0.0610%19 Aug
anubis9–13-0.0115%18 Aug
nuke13–11-0.0514%18 Aug
mirage6–130.0211%17 Aug
inferno4–130.0215%17 Aug
inferno7–13-0.054%16 Aug
cache6–2-0.0045%16 Aug
anubis13–80.0520%16 Aug
overpass9–20.0011%15 Aug
vertigo13–6-0.0026%15 Aug
train13–20.057%15 Aug
dust213–9-0.068%14 Aug
cache13–6-0.005%14 Aug
cache13–5-0.0320%14 Aug
dust29–13-0.0418%6 Aug
vertigo13–7-0.036%6 Aug
overpass12–12-0.0214%4 Aug
vertigo12–12-0.0210%4 Aug
dust28–130.086%3 Aug
cache13–50.0232%17 Jul
vertigo9–130.0214%16 Jul
nuke3–13-0.059%16 Jul
inferno5–13-0.0218%14 Jul
inferno13–11-0.0115%13 Jul
anubis7–13-0.068%13 Jul
cache13–8-0.037%10 Jul
cache3–13-0.0517%7 Jul
mirage12–120.0813%2 Jul
overpass3–13-0.0211%2 Jul
anubis14–16-0.0413%1 Jul
warden13–10.0120%1 Jul
inferno25–22-0.0119%30 Jun
inferno7–13-0.0313%2 Jun
cache13–7-0.0616%1 May
cache12–120.0015%29 Apr
cache8–13-0.058%29 Apr
dust212–120.0213%19 Mar
anubis6–13-0.0312%19 Mar
vertigo9–130.0320%19 Mar
ancient7–13-0.0410%4 Mar
mirage7–13-0.039%4 Mar
overpass16–140.0213%2 Feb
nuke13–8-0.0616%2 Feb
mirage13–11-0.0315%28 Jan
overpass14–16-0.0510%23 Jan
anubis13–9-0.0812%23 Jan
inferno13–10-0.0310%17 Jan
mirage13–90.0111%17 Jan
inferno13–8-0.0316%17 Jan
inferno13–5-0.0113%14 Jan
nuke13–9-0.0617%14 Jan
inferno10–13-0.067%10 Jan
train13–7-0.0410%10 Jan
train13–60.0125%6 Jan
nuke13–9-0.0020%3 Jan
inferno7–13-0.0211%3 Jan
mirage12–120.0919%3 Jan
ancient4–13-0.1213%24 Dec
vertigo9–13-0.0122%23 Dec
mirage13–7-0.038%23 Dec
ancient13–70.0211%23 Dec
mirage13–11-0.0711%20 Dec
inferno13–5-0.0313%20 Dec
mirage13–10-0.0312%17 Dec
mirage15–15-0.078%16 Dec
anubis13–5-0.0012%15 Dec
anubis10–130.059%15 Dec
ancient15–15-0.0517%9 Dec
overpass4–130.0011%8 Dec
office12–12-0.0015%2 Dec
train11–130.0315%27 Nov
mirage10–130.0115%25 Nov
nuke13–40.026%25 Nov
overpass13–10-0.0118%24 Nov
inferno6–13-0.0414%24 Nov
golden13–70.0419%24 Nov
inferno13–16-0.0219%20 Nov
mirage6–13-0.0415%20 Nov
dust210–13-0.0324%18 Nov
ancient13–2-0.034%7 Nov
train12–12-0.0611%6 Nov
train4–13-0.0015%6 Nov
train3–13-0.0024%6 Nov
train6–13-0.0313%6 Nov
overpass5–13-0.069%23 Oct
mirage10–13-0.0011%23 Oct
overpass13–11-0.059%16 Oct
inferno13–8-0.0212%9 Oct
mirage13–20.0017%4 Oct

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 →