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Mannish

Mannish — CS2 Stats

76561199073295683[U:1:1113029955]Steam profile ↗

320Tracked matches59%Win rate2024Tracked since
CSDB Rating3.1 Learning
Premier CS Rating4,647Grey band · top ~80.3% of ranked players (population est.)
CSDB Leaderboard#32931 of 42813 tracked
Ladder ranks via Leetify

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CSDB.GGMannishPREMIER4,647 · Grey bandcsdb.gg/stats

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Performance scores

Aim17
Positioning46
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateLLWWWWLWLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim1.7
Aggression6.8
Utility5.7
Positioning4.6
Opening Duels3.2

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

b1t

Plays most like b1t 78% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 45% 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

Aim1.7
Positioning4.6
Utility5.7
Mechanics0.0
Opening Duels3.2
Win Impact7.9

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time547ms−57ms
first ⅓ avg 604ms → last ⅓ avg 547ms
Headshot accuracy8.8%−0.2%
first ⅓ avg 9.0% → last ⅓ avg 8.8%

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

0.19Best rating — cache 13–2
13–0Biggest win — nuke
4Longest win streak
L2Current streak
7–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 64% over 11dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
nukeA169–756%-0.03
mirageD134–931%-0.04
ancientB137–654%-0.02
cacheC135–838%-0.03
dust2D123–925%-0.03
anubisA117–464%-0.04
vertigoA53–260%-0.01
inferno—40–40%-0.05
office—30–30%-0.02
overpass—32–167%-0.02
train—21–150%-0.03
shelter—21–150%-0.01
warden—10–10%0.01
golden—10–10%-0.08
agency—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.8%Headshot accuracy
32.0%Accuracy (enemy spotted)
32.3%Spray accuracy
45.3%Counter-strafing
14.1°Preaim
549msReaction time
33.5%T opening success
51.8%CT opening success
0.65Enemies flashed / flash
8.1%Flash assists
7.27HE damage / grenade
6.75Flashes / 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 14.063° — 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 8.7738% — 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.

25% win rate across 12 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
anubis1–10-0.065%26 Aug →
nuke5–13-0.048%26 Aug →
anubis13–5-0.0411%26 Aug →
nuke13–6-0.0616%26 Aug →
mirage13–11-0.0215%25 Aug →
nuke13–00.0621%25 Aug →
office8–13-0.059%24 Aug →
ancient16–13-0.0411%24 Aug →
dust28–13-0.046%21 Aug →
cache4–13-0.0610%16 Aug →
mirage6–13-0.0610%12 Aug →
dust210–13-0.028%9 Aug →
vertigo13–10-0.0313%5 Aug →
anubis13–80.013%5 Aug →
dust27–13-0.049%5 Aug →
nuke13–9-0.0812%4 Aug →
train4–13-0.055%3 Aug →
office12–120.056%3 Aug →
nuke9–130.049%3 Aug →
cache13–4-0.084%3 Aug →
cache13–11-0.036%3 Aug →
ancient13–6-0.085%3 Aug →
ancient6–13-0.105%1 Aug →
shelter13–110.0310%31 Jul →
cache13–10-0.049%31 Jul →
dust211–13-0.0411%28 Jul →
anubis13–9-0.024%28 Jul →
nuke13–40.0511%27 Jul →
nuke13–5-0.076%27 Jul →
ancient13–5-0.039%26 Jul →
cache5–130.0013%26 Jul →
nuke11–13-0.016%26 Jul →
cache4–13-0.118%26 Jul →
mirage13–9-0.065%26 Jul →
nuke2–13-0.0710%26 Jul →
anubis13–100.039%26 Jul →
dust22–13-0.0520%25 Jul →
dust27–13-0.0011%25 Jul →
dust213–11-0.0112%25 Jul →
cache3–13-0.0814%25 Jul →
mirage4–13-0.0711%24 Jul →
nuke13–8-0.077%22 Jul →
dust213–7-0.0811%22 Jul →
mirage9–130.033%21 Jul →
cache12–12-0.100%17 Jul →
anubis13–7-0.099%17 Jul →
cache13–70.017%17 Jul →
mirage13–11-0.0310%15 Jul →
shelter12–12-0.050%14 Jul →
dust210–13-0.046%14 Jul →
cache13–20.195%14 Jul →
cache12–12-0.058%8 Jul →
cache12–12-0.043%6 Jul →
ancient5–13-0.067%4 Jul →
mirage14–16-0.079%4 Jul →
ancient16–12-0.057%4 Jul →
inferno9–13-0.074%4 Jul →
overpass13–11-0.0011%4 Jul →
nuke13–110.009%3 Jul →
cache10–13-0.0611%3 Jul →
dust28–13-0.035%3 Jul →
mirage5–13-0.054%3 Jul →
ancient15–15-0.017%1 Jul →
nuke10–13-0.0210%1 Jul →
anubis13–10-0.037%30 Jun →
inferno4–130.017%29 Jun →
anubis13–50.0410%29 Jun →
overpass13–90.0311%29 Jun →
ancient7–13-0.068%29 Jun →
mirage9–13-0.058%28 Jun →
dust210–13-0.0527%28 Jun →
anubis10–13-0.0319%26 Jun →
inferno5–13-0.069%26 Jun →
anubis8–13-0.0713%19 Jun →
nuke7–130.0017%19 Jun →
overpass9–13-0.083%19 Jun →
inferno3–13-0.080%10 Jun →
ancient6–130.0313%31 May →
vertigo13–8-0.0511%31 May →
vertigo7–13-0.047%27 Apr →
vertigo6–130.010%2 Apr →
warden12–120.015%2 Apr →
ancient13–7-0.0217%1 Apr →
train13–5-0.026%30 Mar →
office3–13-0.070%6 Dec →
vertigo8–20.070%6 Dec →
mirage6–13-0.0513%6 Dec →
anubis0–13-0.1312%12 Nov →
nuke2–13-0.1514%12 Nov →
nuke13–9-0.0210%9 Nov →
ancient7–13-0.014%27 Oct →
nuke13–100.004%26 Oct →
ancient13–60.097%26 Oct →
mirage3–13-0.064%26 Oct →
golden2–13-0.0812%6 Oct →
mirage13–10-0.0310%26 Sept →
dust213–6-0.0010%26 Sept →
mirage10–130.0011%15 Aug →
ancient13–10.086%15 Aug →
agency12–12-0.048%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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