Moist

Moist — CS2 Stats

76561199113124992[U:1:1152859264]Steam profile ↗✓ No bans

423Tracked matches52%Win rate2021Tracked since
664Hours in CS20Hrs last 2 wks
CSDB Rating4.5 Developing
Premier CS Rating13,378Blue band · top ~37% of ranked players (population est.)
CSDB Leaderboard#15634 of 23061 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.1%41.7%44.1%9.0% short
Shot accuracy4.0%8.8%11.4%7.5% short
Kill/death ratio0.940.971.030.09 short
Match win rate40.9%43.8%45.2%4.3% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGMoistPREMIER13,378 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning54
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY59365Last 10059%Win rateLLLWWLLLWW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim4.6
Aggression7.8
Utility5.9
Positioning5.4
Opening Duels3.3
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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 573ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.6
Positioning5.4
Utility5.9
Mechanics3.4
Opening Duels3.3
Win Impact5.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time575ms−51ms
first ⅓ avg 626ms → last ⅓ avg 575ms
Headshot accuracy11.9%+0.8%
first ⅓ avg 11.1% → last ⅓ avg 11.9%

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

0.12Best rating — cache 13–4
132Biggest win — mirage
6Longest win streak
L3Current streak
96In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 71% over 7mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA30171357%0.01
ancientA1911858%0.00
anubisS1711665%0.01
cacheA138562%0.02
mirageC83538%-0.02
nukeS75271%-0.00
dust2A53260%-0.02
train110100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,058Lifetime kills
0.94K/D
750Matches
40.9%Match win rate
35.1%Headshot %
4.0%Shot accuracy
984MVPs
247Hours (in match)
246Bombs planted
136Bombs defused

Most-used weapons

Lifetime map wins

1,484inferno
1,021dust2
633nuke
168train
21vertigo
13office
7italy
7ar_baggage

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

Faceit stats

Combat

25Matches
52%Win rate
0.98Avg K/D
76.1ADR
36%Headshot %

Clutches & streaks

44%1v1 clutch win
31%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke650%1.0718.8
Ancient667%1.0513.3
Anubis540%0.9316.2
Inferno3100%0.9812.0
Dust220%0.9515.5
Mirage250%0.589.5
Cache10%1.1919.0

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.

11.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.2%Spray accuracy
65.3%Counter-strafing
11.2°Preaim
573msReaction time
43.0%T opening success
43.6%CT opening success
0.50Enemies flashed / flash
7.4%Flash assists
11.86HE damage / grenade
9.63Flashes / 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 11.1984% — 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 0.4993 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0311%29 Aug
mirage6–130.012%29 Aug
anubis10–130.023%27 Aug
anubis13–8-0.0111%25 Aug
cache13–50.0220%24 Aug
ancient10–13-0.0312%24 Aug
anubis10–130.027%23 Aug
inferno5–13-0.047%22 Aug
anubis13–90.008%21 Aug
cache13–6-0.022%21 Aug
cache7–13-0.0119%20 Aug
ancient15–150.0210%19 Aug
inferno13–4-0.009%18 Aug
inferno1–7-0.0025%18 Aug
inferno13–8-0.003%18 Aug
dust216–140.0418%17 Aug
ancient13–4-0.029%17 Aug
nuke13–110.0619%16 Aug
ancient13–11-0.0312%16 Aug
inferno8–13-0.0910%16 Aug
mirage13–2-0.0317%15 Aug
nuke0–13-0.0416%15 Aug
ancient4–90.076%15 Aug
dust213–10-0.0213%14 Aug
mirage4–13-0.0212%14 Aug
ancient5–13-0.013%13 Aug
cache7–13-0.0321%12 Aug
cache13–10-0.0116%12 Aug
inferno13–40.0319%11 Aug
inferno13–7-0.017%10 Aug
dust213–5-0.0826%10 Aug
inferno7–130.0414%10 Aug
mirage10–130.0411%9 Aug
inferno11–13-0.0213%9 Aug
inferno13–50.0316%9 Aug
ancient3–13-0.0819%8 Aug
cache13–11-0.013%8 Aug
inferno1–7-0.0716%8 Aug
mirage6–13-0.0715%8 Aug
anubis13–90.0817%7 Aug
nuke16–14-0.0318%7 Aug
nuke7–13-0.0115%5 Aug
inferno13–30.079%5 Aug
cache13–50.0311%5 Aug
dust210–13-0.0011%4 Aug
inferno13–40.044%3 Aug
inferno15–150.0514%3 Aug
anubis3–13-0.123%3 Aug
cache7–130.0912%2 Aug
inferno13–40.0217%2 Aug
ancient11–130.0214%2 Aug
ancient13–70.0610%2 Aug
anubis13–80.1010%1 Aug
anubis13–6-0.079%1 Aug
cache13–80.1113%1 Aug
nuke13–20.0410%1 Aug
dust20–13-0.0616%1 Aug
ancient13–90.0911%31 Jul
ancient13–90.0117%31 Jul
ancient13–100.098%30 Jul
inferno13–4-0.018%30 Jul
ancient13–7-0.0511%30 Jul
anubis13–50.068%29 Jul
inferno11–13-0.047%29 Jul
anubis13–80.0614%28 Jul
inferno13–100.025%28 Jul
ancient13–50.0212%27 Jul
anubis13–2-0.0216%27 Jul
mirage5–13-0.047%27 Jul
inferno13–70.027%26 Jul
anubis13–40.0513%26 Jul
cache13–40.1218%26 Jul
inferno13–30.0911%26 Jul
anubis13–60.0112%25 Jul
mirage13–6-0.0011%25 Jul
inferno11–13-0.0211%25 Jul
nuke13–11-0.0417%25 Jul
anubis5–13-0.0814%25 Jul
inferno13–70.0812%24 Jul
inferno12–12-0.0110%23 Jul
ancient13–100.0410%22 Jul
inferno13–80.0510%22 Jul
inferno13–11-0.0110%21 Jul
ancient13–9-0.038%20 Jul
inferno5–13-0.0213%20 Jul
inferno11–130.069%19 Jul
cache5–13-0.0617%19 Jul
cache13–110.0215%18 Jul
inferno12–12-0.0611%18 Jul
anubis13–80.0810%18 Jul
train11–00.0211%18 Jul
ancient3–5-0.080%18 Jul
mirage13–10-0.0412%17 Jul
ancient9–13-0.0113%17 Jul
inferno13–30.0511%16 Jul
cache12–12-0.038%16 Jul
nuke13–3-0.0115%15 Jul
anubis3–13-0.059%15 Jul
ancient13–11-0.029%14 Jul
inferno13–40.0310%14 Jul

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 →