M0ney-see — CS2 Stats

76561199165450314[U:1:1205184586]

674Tracked matches52%Win rate2025Tracked since
465Hours in CS
CSDB Rating3.3 Learning
Premier CS Rating2,606Grey band · top ~88.9% of ranked players (population est.)
CSDB Leaderboard#39613 of 50735 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate27.4%41.2%42.2%14.8% short
Shot accuracy0.0%12.5%11.9%11.9% short
Kill/death ratio0.900.960.980.08 short
Match win rate42.5%42.8%43.6%1.0% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGM0ney-seeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER2,606 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim33
Positioning56
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateLWLWWLWWLL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim3.3
Aggression7.4
Utility2.1
Positioning5.6
Opening Duels4.1
Clutch1.8

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

ropz

Plays most like ropz 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim3.3
Positioning5.6
Utility2.1
Mechanics1.8
Opening Duels4.1
Win Impact5.6

Composite 3.3/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time570ms−55ms
first ⅓ avg 625ms → last ⅓ avg 570ms
Headshot accuracy9.8%+0.4%
first ⅓ avg 9.4% → last ⅓ avg 9.8%

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

0.13Best rating — cache 13–5
131Biggest win — nuke
7Longest win streak
712In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B28151354%-0.00
mirageC1871139%0.02
anubisA138562%0.04
nukeA127558%0.01
infernoB115645%0.04
cacheA106460%0.01
ancientD81713%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,936Lifetime kills
0.90K/D
1,208Matches
42.5%Match win rate
27.4%Headshot %
0.0%Shot accuracy
2,199MVPs
465Hours (in match)
415Bombs planted
210Bombs defused

Most-used weapons

Lifetime map wins

3,926dust2
1,465nuke
1,431inferno
186train
103office
67vertigo
8italy
1ar_baggage

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

Faceit stats

Combat

216Matches
48%Win rate
0.66Avg K/D
62.9ADR
31%Headshot %

Clutches & streaks

29%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust25246%0.6510.2
Mirage4734%0.6310.7
Anubis3067%0.6611.9
Inferno2650%0.7112.0
Nuke2462%0.7312.3
Overpass1429%0.6311.5
Cache1250%0.7110.7
Ancient1145%0.5911.2

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.

9.7%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.3%Spray accuracy
58.0%Counter-strafing
10.9°Preaim
571msReaction time
47.2%T opening success
45.8%CT opening success
0.31Enemies flashed / flash
7.7%Flash assists
4.59HE damage / grenade
2.10Flashes / 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 9.6953% — 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 0.3063 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0516%30 Aug
inferno16–140.128%30 Aug
nuke11–130.059%30 Aug
mirage13–50.0815%29 Aug
cache13–80.030%29 Aug
inferno5–130.0112%29 Aug
mirage13–40.0915%29 Aug
inferno13–10-0.046%29 Aug
inferno6–130.067%28 Aug
cache2–13-0.075%28 Aug
cache12–16-0.0410%24 Aug
anubis13–30.088%24 Aug
anubis13–9-0.0313%24 Aug
ancient3–13-0.078%3 Aug
nuke15–15-0.039%3 Aug
cache8–13-0.049%2 Aug
mirage13–80.0211%1 Aug
mirage13–3-0.0417%31 Jul
inferno11–130.059%31 Jul
dust216–130.028%31 Jul
dust213–110.007%30 Jul
anubis7–130.0319%30 Jul
anubis13–11-0.0114%30 Jul
anubis11–130.0910%27 Jul
inferno13–90.0411%27 Jul
nuke13–90.037%27 Jul
nuke4–13-0.0912%27 Jul
cache11–130.056%23 Jul
dust24–13-0.0611%23 Jul
nuke13–100.0311%23 Jul
dust22–13-0.0614%22 Jul
anubis13–90.026%22 Jul
nuke8–13-0.036%22 Jul
cache13–60.0312%21 Jul
mirage7–130.0412%21 Jul
inferno10–130.0914%21 Jul
dust213–90.0117%21 Jul
cache13–20.0324%21 Jul
dust23–130.0113%21 Jul
mirage6–130.086%21 Jul
anubis8–13-0.0012%21 Jul
dust214–16-0.058%21 Jul
inferno13–8-0.0112%21 Jul
dust213–100.0211%21 Jul
nuke13–50.0120%21 Jul
dust213–100.036%21 Jul
mirage8–130.0516%21 Jul
cache13–8-0.0512%20 Jul
dust213–4-0.0012%20 Jul
dust213–110.0410%20 Jul
inferno13–40.0613%20 Jul
dust211–130.0912%20 Jul
ancient13–70.016%20 Jul
dust213–7-0.0121%16 Jul
mirage13–90.0210%16 Jul
dust22–00.0133%16 Jul
dust24–13-0.0811%16 Jul
anubis13–80.048%16 Jul
mirage11–130.004%16 Jul
mirage10–130.058%16 Jul
dust213–80.0311%16 Jul
dust213–80.028%16 Jul
nuke13–10.0910%16 Jul
cache13–50.136%16 Jul
anubis13–70.0015%16 Jul
dust213–3-0.055%16 Jul
nuke13–110.098%16 Jul
dust28–130.0411%16 Jul
anubis13–50.137%16 Jul
ancient4–130.037%15 Jul
inferno14–160.0411%15 Jul
mirage10–11-0.055%15 Jul
mirage13–30.1112%15 Jul
cache13–30.058%15 Jul
ancient7–13-0.013%14 Jul
ancient15–15-0.057%14 Jul
mirage5–130.015%14 Jul
dust213–50.1013%14 Jul
anubis9–130.089%14 Jul
dust27–13-0.018%13 Jul
inferno4–130.028%13 Jul
anubis13–160.069%13 Jul
dust213–100.0314%13 Jul
dust215–15-0.0213%13 Jul
mirage9–13-0.0116%13 Jul
nuke16–14-0.015%12 Jul
dust211–13-0.028%12 Jul
dust27–13-0.005%12 Jul
ancient12–16-0.0520%12 Jul
anubis13–70.078%12 Jul
mirage8–130.0113%12 Jul
mirage2–13-0.0811%12 Jul
dust27–13-0.0410%12 Jul
mirage13–100.0110%11 Jul
dust213–16-0.0713%11 Jul
ancient11–130.008%11 Jul
nuke11–13-0.074%10 Jul
ancient7–13-0.036%10 Jul
dust213–80.0318%10 Jul
nuke13–60.055%10 Jul

Match data via Leetify.

Recent teammates

Milestones

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