Masturbo

Masturbo — CS2 Stats

FI76561199481652492[U:1:1521386764]Steam profile ↗✓ No bans

1,436Tracked matches57%Win rate2023Tracked since
787Hours in CS
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating13,252Blue band · top ~37.7% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,252 +5,197 4 Sept – 5 Oct · 19 days played
8,05514,161peak 14,1614 Sept5 Oct
14,161Peak Premier in tracked matches
18Days played since 2026-09-04

Premier CS Rating

  • 909 below peak (14,161)
  • +5,197 over 30 days · improving
  • Next: Purple band at 15,000 — 1,748 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches211——
Win rate55%——
K/D0.81——
Headshot %40%——

Measured 4 Sep 2026 → 6 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate40.5%42.0%44.3%3.8% short
Shot accuracy4.0%9.6%11.9%7.8% short
Kill/death ratio0.860.981.030.17 short
Match win rate43.9%43.8%45.2%1.3% 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.

Share this profile

CSDB.GGMasturboPREMIER13,252 · Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning58
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWWLWWWLLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +1.1pp headshot accuracy · +7ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 664ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 628ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 625ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim3.2
Utility5.4
Positioning5.8
Opening Duels2.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 59% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.2
Positioning5.8
Utility5.4
Mechanics2.6
Opening Duels3.6
Win Impact7.2

Composite 4.2/10 (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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time611ms−5ms
first ⅓ avg 616ms → last ⅓ avg 611ms
Headshot accuracy12.4%−2.0%
first ⅓ avg 14.4% → last ⅓ avg 12.4%

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.

Personal bests

0.11Best match rating · 13–4 · dust2, 29 Sept →
30%Best headshot accuracy · 7–13 · inferno, 27 Sept →
445msFastest reaction time · 2–13 · ancient, 1 Oct →
13–1Biggest win · nuke, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 71% over 14dust2Weakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
nukeA2213–959%-0.02
ancientB2111–1052%-0.02
dust2C177–1041%-0.01
mirageS1410–471%-0.01
infernoC125–742%-0.03
anubisA85–363%-0.01
cacheA53–260%-0.02
vertigo—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,707Lifetime kills
0.86K/D
2,673Matches
43.9%Match win rate · Top 50% of Blue band
40.5%Headshot %
4.0%Shot accuracy
6,268MVPs
787Hours (in match)
3,338Bombs planted
479Bombs defused

Most-used weapons

AK-477,357
MP91,971
AWP1,704
MP71,168
MAC-101,160

Lifetime map wins

9,053nuke
2,378inferno
1,740dust2
933vertigo
378train
364lake
115office
95cbble

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

Skill profile

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

13.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.4%Spray accuracy
61.6%Counter-strafing
12.8°Preaim
614msReaction time
40.2%T opening success
48.9%CT opening success
0.61Enemies flashed / flash
4.6%Flash assists
6.61HE damage / grenade
8.74Flashes / 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 12.7941° — 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 12.9745% — 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.

41% win rate across 17 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
dust28–13-0.0015%5 Oct →
mirage13–100.048%5 Oct →
ancient16–13-0.038%4 Oct →
cache9–13-0.1016%4 Oct →
anubis13–50.0719%4 Oct →
inferno13–50.0210%4 Oct →
mirage16–14-0.0118%4 Oct →
ancient5–13-0.028%4 Oct →
dust210–13-0.0511%4 Oct →
nuke13–50.0016%3 Oct →
mirage13–60.039%3 Oct →
dust29–13-0.0612%2 Oct →
cache13–11-0.0114%2 Oct →
nuke8–130.0113%1 Oct →
dust26–130.0218%1 Oct →
ancient2–13-0.115%1 Oct →
nuke13–11-0.0610%1 Oct →
dust24–13-0.1224%1 Oct →
inferno3–13-0.133%1 Oct →
dust28–130.0911%1 Oct →
ancient13–6-0.016%30 Sept →
mirage13–80.0115%30 Sept →
mirage13–5-0.0216%30 Sept →
dust213–80.0821%30 Sept →
dust213–10-0.0216%30 Sept →
nuke13–80.0013%30 Sept →
nuke10–130.0315%29 Sept →
nuke13–90.027%29 Sept →
ancient11–130.0110%29 Sept →
dust213–40.1122%29 Sept →
mirage13–10-0.0210%29 Sept →
nuke13–11-0.077%29 Sept →
ancient5–13-0.074%29 Sept →
nuke6–13-0.0210%29 Sept →
dust28–130.0112%28 Sept →
inferno12–160.0717%28 Sept →
ancient13–6-0.0112%28 Sept →
ancient11–13-0.0214%28 Sept →
ancient9–13-0.0412%28 Sept →
nuke13–100.0119%28 Sept →
inferno13–100.0313%28 Sept →
nuke6–13-0.097%27 Sept →
ancient10–13-0.0115%27 Sept →
cache13–100.0416%27 Sept →
inferno7–13-0.0230%27 Sept →
ancient13–2-0.0812%27 Sept →
dust213–8-0.0513%27 Sept →
nuke13–9-0.049%27 Sept →
cache13–11-0.0014%27 Sept →
dust27–130.0013%27 Sept →
ancient13–40.0822%27 Sept →
ancient13–8-0.0215%27 Sept →
inferno6–13-0.0613%26 Sept →
nuke13–100.0618%26 Sept →
nuke13–90.0225%26 Sept →
mirage9–13-0.0518%26 Sept →
ancient13–80.0818%26 Sept →
dust213–8-0.0614%25 Sept →
nuke11–130.0218%25 Sept →
nuke13–6-0.0726%25 Sept →
mirage10–13-0.0524%25 Sept →
anubis6–13-0.0219%24 Sept →
ancient16–14-0.0415%24 Sept →
dust210–13-0.0629%24 Sept →
nuke6–13-0.060%24 Sept →
anubis8–13-0.048%24 Sept →
dust213–11-0.0321%23 Sept →
nuke7–13-0.082%23 Sept →
ancient6–13-0.058%22 Sept →
inferno13–60.0019%22 Sept →
anubis13–10-0.0226%22 Sept →
mirage13–11-0.0116%22 Sept →
ancient9–13-0.0217%22 Sept →
inferno13–5-0.0421%22 Sept →
mirage13–11-0.0412%21 Sept →
anubis7–13-0.0316%21 Sept →
nuke13–10.055%21 Sept →
mirage2–130.0227%21 Sept →
inferno5–13-0.128%21 Sept →
dust27–13-0.068%20 Sept →
dust213–30.019%20 Sept →
nuke8–13-0.0513%20 Sept →
nuke13–5-0.0413%20 Sept →
inferno6–13-0.0510%20 Sept →
mirage9–130.0013%20 Sept →
inferno5–13-0.0412%19 Sept →
mirage16–12-0.0114%19 Sept →
ancient13–8-0.0411%19 Sept →
ancient13–7-0.0229%19 Sept →
anubis13–80.0217%19 Sept →
nuke13–110.0215%19 Sept →
anubis16–12-0.0111%19 Sept →
vertigo4–9-0.1414%19 Sept →
anubis13–7-0.027%19 Sept →
nuke6–13-0.0314%19 Sept →
ancient16–120.0212%19 Sept →
inferno13–50.0214%19 Sept →
ancient5–13-0.0714%18 Sept →
cache7–13-0.0227%18 Sept →
mirage13–7-0.0120%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.