Molo

Molo — CS2 Stats

RO76561198275396642[U:1:315130914]Steam profile ↗✓ No bans

86Tracked matches52%Win rate2021Tracked since
302Hours in CS
CSDB Rating4.2 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,237 -108 15 Feb – 23 Feb · 2 days played
8,2378,345peak 8,34515 Feb23 Feb
8,345Peak Premier in tracked matches
52Days played since 2021-05-24

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

Performance scores

Aim39
Positioning49
Utility22

0–100 skill scores via Leetify.

Recent form

COLD36–40–4Last 8045%Win rateLLTLWWWLLL

Last 10 vs previous 10: −40pp win rate · −0.10 avg rating · −3.9pp headshot accuracy · +15ms reaction

Win rate down 40pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 689ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 674ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 667ms

Newest first, from the last 80 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 (+1.7 against its own average).

Aim3.9
Utility2.2
Positioning4.9
Opening Duels2.5

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 691ms 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

Aim3.9
Positioning4.9
Utility2.2
Mechanics5.7
Opening Duels2.8
Win Impact5.6

Composite 4.2/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time674ms−24ms
first ⅓ avg 698ms → last ⅓ avg 674ms
Headshot accuracy15.8%+6.5%
first ⅓ avg 9.2% → last ⅓ avg 15.8%

Rolling 5-match average across the last 80 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.16Best match rating · 13–8 · nuke, 14 Feb →
37%Best headshot accuracy · 13–9 · office, 1 Feb →
422msFastest reaction time · 16–14 · office, 10 Jul →
13–1Biggest win · mirage, 22 Jun →

Across the last 80 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 50% over 18nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB189–950%0.00
dust2C146–843%0.01
nukeC135–838%0.05
officeB136–746%0.02
infernoC125–742%-0.00
ancient—32–167%0.03
vertigo—33–0100%0.04
cache—10–10%0.02
italy—10–10%-0.09
iris—10–10%-0.10
climb—10–10%0.05

Across the last 80 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,639Lifetime kills
1.02K/D · Top 50% of tracked players
920Matches
47.1%Match win rate · Top 50% of tracked players
36.6%Headshot %
12.8%Shot accuracy · Top 50% of tracked players
1,501MVPs
302Hours (in match)
657Bombs planted
179Bombs defused

Most-used weapons

Lifetime map wins

1,660dust2
1,017office
798inferno
798nuke
313vertigo
50safehouse
47train
38lake

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.

16.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
32.1%Spray accuracy
75.4%Counter-strafing
12.1°Preaim
691msReaction time
25.8%T opening success
52.4%CT opening success
0.32Enemies flashed / flash
1.7%Flash assists
5.02HE damage / grenade
3.19Flashes / 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 12.1214° — above the 12° 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 0.3199 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–9-0.099%18 Jul →
cache10–130.0216%15 May →
inferno12–120.0117%19 Apr →
mirage5–13-0.0918%23 Feb →
inferno16–13-0.0611%15 Feb →
nuke8–00.049%15 Feb →
ancient13–50.0412%15 Feb →
inferno4–13-0.065%15 Feb →
mirage7–130.0116%15 Feb →
office7–130.024%14 Feb →
nuke13–80.1613%14 Feb →
dust211–130.0013%13 Feb →
ancient11–30.0421%13 Feb →
office13–50.1014%8 Feb →
dust213–90.0815%8 Feb →
mirage5–130.096%7 Feb →
mirage13–30.1620%7 Feb →
dust29–130.0214%7 Feb →
dust213–70.0523%7 Feb →
mirage13–40.1017%6 Feb →
dust213–70.0621%6 Feb →
dust213–80.0324%5 Feb →
mirage13–80.1220%3 Feb →
office5–130.0314%2 Feb →
office8–13-0.0021%2 Feb →
office13–9-0.0137%1 Feb →
nuke3–130.0013%31 Jan →
dust211–130.0119%31 Jan →
mirage8–30.0433%31 Jan →
dust211–130.0017%26 Jan →
italy5–13-0.0912%25 Jan →
inferno6–130.0026%25 Jan →
inferno13–90.0815%25 Jan →
dust213–90.0026%25 Jan →
inferno4–13-0.0319%25 Jan →
dust27–13-0.0612%25 Jan →
nuke8–130.0318%25 Jan →
office11–13-0.0224%24 Jan →
office13–10-0.0122%24 Jan →
mirage7–13-0.0319%24 Jan →
mirage9–130.0511%20 Jan →
mirage13–4-0.0010%18 Jan →
dust26–13-0.0518%9 Nov →
office10–130.0811%8 Aug →
office10–130.0512%5 Aug →
inferno13–6-0.003%1 Aug →
office6–80.097%31 Jul →
office7–7-0.105%31 Jul →
nuke11–130.0613%5 Jul →
ancient12–160.0216%5 Jul →
vertigo13–5-0.0011%5 Jul →
nuke13–11-0.018%28 Jun →
mirage13–90.0111%23 Jun →
dust26–130.0114%23 Jun →
mirage13–10.039%22 Jun →
nuke13–50.034%28 Sept →
nuke14–16-0.016%26 Jul →
nuke15–150.0810%11 Jul →
office16–140.0412%10 Jul →
nuke16–90.119%9 Jul →
dust29–70.028%30 Jun →
nuke8–160.0514%24 Jun →
nuke15–150.0912%10 Jun →
nuke5–160.017%4 Jun →
inferno16–70.0511%4 Jun →
inferno0–90.017%1 Jun →
inferno8–8-0.0210%31 May →
mirage0–9-0.1015%30 May →
mirage1–9-0.1515%29 May →
vertigo9–30.0310%23 May →
mirage5–9-0.076%20 May →
mirage9–40.019%17 May →
vertigo9–60.0814%9 May →
mirage9–7-0.024%26 Aug →
iris5–9-0.102%8 May →
office9–4-0.0518%18 Mar →
climb10–160.057%8 Mar →
inferno5–9-0.0113%8 Oct →
inferno9–70.048%8 Oct →
dust211–150.000%24 May →

Match data via Leetify.

Recent teammates

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

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