Mollusk Munching Gaming

Mollusk Munching Gaming — CS2 Stats

CA76561198817362796[U:1:857097068]Steam profile ↗

1,025Tracked matches62%Win rate2020Tracked since
1,921Hours in CS3Hrs last 2 wks
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating22,826Top 50% of 819 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#5134 of 18959 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band median
Headshot rate42.8%48.1%
Shot accuracy14.8%12.9%
Kill/death ratio1.211.08
Match win rate46.2%46.5%

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CSDB.GGMollusk Munching GamingPREMIER22,826 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning52
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY56386Last 10056%Win rateLWLLWLWWLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.0
Aggression5.6
Utility5.0
Positioning5.2
Opening Duels2.2

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Reaction time. 587ms 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

Aim7.0
Positioning5.2
Utility5.0
Mechanics6.6
Opening Duels2.2
Win Impact9.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time579ms−57ms
first ⅓ avg 636ms → last ⅓ avg 579ms
Headshot accuracy18.7%−1.5%
first ⅓ avg 20.2% → last ⅓ avg 18.7%

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 — dust2 13–7
130Biggest win — anubis
5Longest win streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 64% over 50anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A50321864%0.01
mirageB20101050%-0.00
nukeB126650%0.01
infernoA95456%0.00
anubisC52340%0.00
ancient31233%0.02
cache1010%-0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,222Lifetime kills
1.21K/D · Top 50% of Pink band
2,169Matches
46.2%Match win rate
42.8%Headshot %
14.8%Shot accuracy · Top 50% of Pink band
5,157MVPs
877Hours (in match)
3,887Bombs planted
734Bombs defused

Most-used weapons

Lifetime map wins

13,651dust2
2,025nuke
1,474inferno
237vertigo
75train
55cbble
53lake
5sugarcane

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

Faceit stats

Combat

4Matches
25%Win rate
0.96Avg K/D
ADR
26%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

18.9%Headshot accuracy
35.4%Accuracy (enemy spotted)
39.0%Spray accuracy
79.9%Counter-strafing
11.0°Preaim
587msReaction time
40.4%T opening success
37.3%CT opening success
0.60Enemies flashed / flash
6.1%Flash assists
12.33HE damage / grenade
8.89Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.3295% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0229%21 Aug
dust213–6-0.0229%21 Aug
dust28–13-0.0116%21 Aug
nuke9–13-0.0240%21 Aug
dust213–80.0119%16 Aug
inferno11–13-0.0619%12 Aug
mirage13–70.0414%12 Aug
dust213–70.0414%12 Aug
mirage9–13-0.0216%12 Aug
mirage13–11-0.0521%7 Aug
mirage13–11-0.018%7 Aug
dust213–6-0.0131%5 Aug
inferno13–8-0.0012%30 Jul
mirage10–13-0.0222%30 Jul
cache2–13-0.1030%30 Jul
dust213–40.0612%29 Jul
dust213–8-0.0220%29 Jul
mirage4–130.0018%23 Jul
mirage13–110.0321%22 Jul
mirage13–110.0114%22 Jul
nuke13–90.0817%19 Jul
anubis6–13-0.0414%19 Jul
mirage13–110.0519%19 Jul
nuke6–13-0.0211%19 Jul
dust212–120.0523%9 Jul
dust25–10.1113%9 Jul
nuke13–60.0219%4 Jul
dust216–120.0218%4 Jul
anubis13–00.0223%4 Jul
mirage10–13-0.0312%4 Jul
anubis15–15-0.0414%4 Jul
dust213–8-0.0025%3 Jul
anubis11–13-0.029%3 Jul
nuke13–80.009%3 Jul
nuke16–14-0.0217%3 Jul
ancient11–130.0313%3 Jul
dust213–10-0.0119%3 Jul
anubis13–70.0919%2 Jul
mirage8–13-0.0419%2 Jul
mirage13–7-0.048%2 Jul
dust213–10-0.0427%30 Jun
mirage13–40.1011%30 Jun
inferno6–13-0.0416%28 Jun
inferno9–13-0.0310%28 Jun
ancient11–130.0218%28 Jun
dust213–11-0.0520%28 Jun
nuke11–130.0217%25 Jun
mirage14–16-0.0320%25 Jun
dust29–130.0429%25 Jun
mirage13–100.0516%24 Jun
dust210–130.0113%24 Jun
mirage13–10.0423%24 Jun
mirage14–160.0415%24 Jun
dust213–70.0118%18 Jun
nuke13–10.0735%13 Jun
dust27–130.0130%13 Jun
dust213–30.1029%11 Jun
dust22–10-0.0319%11 Jun
dust28–13-0.0513%11 Jun
dust213–40.1127%4 Jun
ancient13–80.0016%4 Jun
dust212–16-0.0018%4 Jun
nuke6–13-0.0520%4 Jun
inferno13–100.0118%3 Jun
mirage13–16-0.0220%3 Jun
inferno2–60.055%3 Jun
inferno13–40.0324%3 Jun
dust213–100.0023%27 May
dust213–9-0.0413%27 May
nuke10–13-0.0121%27 May
mirage2–13-0.0629%27 May
dust213–10-0.0126%27 May
dust213–10-0.0118%27 May
nuke9–13-0.0223%24 May
inferno16–140.0522%24 May
mirage6–13-0.0710%24 May
dust213–50.0627%22 May
dust213–70.0112%18 May
dust213–60.0620%17 May
dust213–80.0213%17 May
dust213–20.0716%3 May
dust212–12-0.0321%3 May
dust212–120.0214%3 May
dust213–70.1512%22 Apr
dust213–5-0.0714%22 Apr
nuke13–10.0716%17 Apr
dust212–12-0.039%16 Apr
dust213–00.0627%13 Apr
dust23–13-0.0427%13 Apr
dust28–130.0222%13 Apr
dust212–120.0226%9 Apr
inferno13–80.0125%3 Apr
dust213–00.1026%3 Apr
dust213–8-0.0228%2 Apr
dust26–13-0.0223%2 Apr
dust213–4-0.0227%2 Apr
dust28–13-0.0426%26 Mar
dust213–10-0.0020%26 Mar
dust213–70.0117%26 Mar
dust24–13-0.0516%26 Mar

Match data via Leetify.

Milestones

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