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madjococonut — CS2 Stats

76561198053733356[U:1:93467628]✓ No bans

1,339Tracked matches43%Win rate2022Tracked since
CSDB Rating3.5 Learning
Premier CS Rating16,202Purple band · top ~23.6% of ranked players (population est.)
CSDB Leaderboard#12520 of 20803 tracked
FaceitLevel 4 · 959 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmadjococonutFACEITLevel 4 · 959 ELOSTANDINGTop 81.0% of rankedPREMIER16,202 · Purple bandcsdb.gg/stats

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Performance scores

Aim29
Positioning48
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY32–67–1Last 10032%Win rateWLLLWWLLWL

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

Player DNA

Aim2.9
Aggression5.5
Utility4.1
Positioning4.8
Opening Duels2.5
Clutch4.0

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 77% playstyle similarity

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

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

T-side openings. Opening success drops from 52% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 707ms 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

Aim2.9
Positioning4.8
Utility4.1
Mechanics3.4
Opening Duels2.7
Win Impact2.8

Composite 3.5/10 (Learning), 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 rating-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time712ms−9ms
first ⅓ avg 722ms → last ⅓ avg 712ms
Headshot accuracy18.6%+2.6%
first ⅓ avg 16.0% → last ⅓ avg 18.6%

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

0.07Best rating — anubis 13–3
13–1Biggest win — cache
5Longest win streak
10–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 50% over 8dust2Weakest map · 26% over 23
MapGradePlayedRecordWin rateAvg rating
dust2D236–1726%-0.04
mirageD227–1532%-0.05
infernoD185–1328%-0.04
cacheC156–940%-0.04
nukeD113–827%-0.01
anubisB84–450%-0.03
ancient—20–20%-0.03
overpass—11–0100%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

44Matches
45%Win rate
0.69Avg K/D
57.9ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1145%0.629.4
Mirage933%0.659.6
Dust2650%0.6811.8
Nuke540%0.7510.8
Anubis3100%1.1011.7
Train333%0.7212.7
Overpass367%0.5810.0
Cache333%0.719.0

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.

18.3%Headshot accuracy
28.8%Accuracy (enemy spotted)
31.1%Spray accuracy
65.5%Counter-strafing
11.4°Preaim
707msReaction time
28.8%T opening success
51.6%CT opening success
0.62Enemies flashed / flash
4.4%Flash assists
9.91HE damage / grenade
3.27Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 706.5308ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2662 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.774% — below the 40% mark we flag

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.

26% win rate across 23 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
anubis13–30.0722%24 Aug →
inferno9–13-0.0719%24 Aug →
nuke11–13-0.059%24 Aug →
cache6–13-0.0817%24 Aug →
anubis13–3-0.0010%24 Aug →
inferno13–10-0.0412%24 Aug →
cache8–13-0.0119%24 Aug →
dust24–13-0.0719%24 Aug →
dust213–20.0118%19 Aug →
mirage4–13-0.0411%19 Aug →
anubis13–10-0.0314%19 Aug →
mirage13–100.0024%17 Aug →
cache13–1-0.0026%17 Aug →
dust222–19-0.0418%17 Aug →
inferno13–5-0.0316%17 Aug →
mirage11–13-0.0714%17 Aug →
dust29–13-0.0110%17 Aug →
dust213–5-0.0422%16 Aug →
cache3–13-0.1118%16 Aug →
mirage6–13-0.0526%16 Aug →
anubis4–13-0.0721%16 Aug →
dust213–11-0.0428%16 Aug →
inferno11–13-0.0416%16 Aug →
mirage4–13-0.0719%16 Aug →
nuke12–16-0.0224%16 Aug →
cache1–13-0.100%3 Aug →
inferno6–13-0.0614%3 Aug →
nuke13–90.0321%3 Aug →
dust26–13-0.0730%3 Aug →
mirage13–110.0429%3 Aug →
inferno4–13-0.0917%3 Aug →
anubis3–13-0.0820%28 Jul →
mirage8–13-0.0431%28 Jul →
cache16–13-0.0417%27 Jul →
inferno8–130.0313%27 Jul →
nuke9–130.0112%27 Jul →
mirage10–13-0.0415%27 Jul →
dust216–14-0.0519%27 Jul →
cache13–5-0.035%26 Jul →
dust26–13-0.0724%26 Jul →
mirage9–13-0.0415%26 Jul →
ancient5–130.019%26 Jul →
inferno12–16-0.108%26 Jul →
nuke5–13-0.0218%26 Jul →
inferno8–13-0.0213%25 Jul →
dust25–13-0.0316%25 Jul →
cache3–13-0.0216%25 Jul →
mirage9–13-0.0712%25 Jul →
dust27–13-0.0510%25 Jul →
mirage7–13-0.0615%22 Jul →
dust27–130.0016%22 Jul →
cache13–16-0.0122%22 Jul →
nuke12–16-0.0226%20 Jul →
inferno6–13-0.0117%20 Jul →
mirage13–9-0.0316%20 Jul →
cache13–70.0324%20 Jul →
dust213–10-0.0320%20 Jul →
nuke13–80.0112%13 Jul →
cache9–13-0.088%13 Jul →
mirage10–13-0.0722%13 Jul →
dust26–13-0.0823%13 Jul →
inferno5–13-0.0733%13 Jul →
cache2–13-0.0521%13 Jul →
nuke7–13-0.0025%11 Jul →
dust22–13-0.0517%11 Jul →
anubis13–11-0.0323%11 Jul →
cache13–11-0.0524%11 Jul →
mirage13–8-0.0325%11 Jul →
inferno13–5-0.0216%7 Jul →
cache13–110.0221%7 Jul →
cache9–13-0.0816%7 Jul →
dust212–16-0.0818%6 Jul →
anubis10–13-0.0719%6 Jul →
inferno13–100.0216%6 Jul →
dust211–13-0.0314%6 Jul →
mirage16–14-0.0420%6 Jul →
anubis8–13-0.0513%29 Jun →
nuke7–13-0.038%29 Jun →
mirage13–11-0.0411%29 Jun →
nuke15–150.0017%29 Jun →
dust23–13-0.0513%29 Jun →
inferno5–13-0.0824%29 Jun →
mirage1–13-0.0816%29 Jun →
dust25–13-0.0314%27 Jun →
mirage16–13-0.0223%27 Jun →
dust213–160.0323%27 Jun →
inferno7–13-0.0713%27 Jun →
nuke13–10-0.0320%27 Jun →
mirage5–13-0.049%27 Jun →
dust211–13-0.0414%22 Jun →
ancient10–13-0.079%22 Jun →
inferno8–13-0.0526%22 Jun →
mirage8–13-0.0417%22 Jun →
dust210–13-0.0419%22 Jun →
overpass13–11-0.117%21 Jun →
dust28–13-0.0922%21 Jun →
mirage4–13-0.1111%21 Jun →
inferno5–13-0.0422%21 Jun →
inferno4–2-0.050%21 Jun →
mirage9–13-0.0514%15 Jun →

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 →

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