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M4XD0P3 — CS2 Stats

76561198242309464[U:1:282043736]

359Tracked matches38%Win rate2021Tracked since
CSDB Rating3.4 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGM4XD0P3FACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning29
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLLWWLLLWLW

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

Player DNA

Aim4.4
Aggression3.0
Utility2.7
Positioning2.9
Opening Duels0.0
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 65% playstyle similarity

Most alike: opening-fight frequency, 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. 622ms 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

Aim4.4
Positioning2.9
Utility2.7
Mechanics6.4
Opening Duels0.7
Win Impact1.0

Composite 3.4/10 (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-0.03−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time613ms−53ms
first ⅓ avg 665ms → last ⅓ avg 613ms
Headshot accuracy24.3%−3.8%
first ⅓ avg 28.1% → last ⅓ avg 24.3%

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

0.10Best rating — dust2 13–4
13–0Biggest win — cache
6Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 50% over 10nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.01
mirageB199–1047%-0.02
dust2C187–1139%-0.02
overpassB105–550%-0.01
nukeD93–633%-0.04
ancientC83–538%-0.05
anubisD62–433%-0.02
trainB63–350%-0.02
cache—11–0100%-0.03
palacio—11–0100%-0.01
vertigo—10–10%-0.09
office—10–10%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches
42%Win rate
0.85Avg K/D
74.0ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient667%1.2215.7
Mirage667%0.8812.8
Dust2450%1.1810.8
Inferno1100%2.8620.0

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.

24.1%Headshot accuracy
26.3%Accuracy (enemy spotted)
28.8%Spray accuracy
78.7%Counter-strafing
13.1°Preaim
622msReaction time
23.2%T opening success
35.5%CT opening success
0.38Enemies flashed / flash
2.2%Flash assists
6.08HE damage / grenade
4.86Flashes / 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 13.0551° — 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 0.3836 — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0623%25 Jul →
mirage14–16-0.0923%25 Jul →
cache13–0-0.0325%8 May →
overpass9–4-0.0260%12 Mar →
overpass9–13-0.0324%12 Mar →
inferno11–13-0.0042%7 Jan →
anubis11–13-0.0822%6 Jan →
mirage13–11-0.0638%4 Jan →
ancient7–13-0.0827%4 Jan →
train13–50.0128%3 Jan →
train13–50.0120%3 Jan →
ancient7–13-0.0735%3 Jan →
train5–13-0.0420%3 Jan →
inferno7–13-0.0327%22 Dec →
nuke1–13-0.0612%22 Dec →
overpass12–12-0.0527%29 Nov →
nuke11–13-0.0319%28 Nov →
palacio13–11-0.010%21 Nov →
vertigo5–13-0.0929%21 Nov →
inferno4–13-0.1050%21 Nov →
office10–13-0.0629%20 Nov →
anubis7–13-0.0531%20 Nov →
ancient13–10-0.0133%20 Nov →
nuke9–13-0.038%20 Nov →
overpass11–13-0.0319%18 Nov →
mirage13–11-0.0526%18 Nov →
anubis13–30.0418%17 Nov →
anubis9–13-0.0215%15 Nov →
inferno13–1-0.060%15 Nov →
ancient13–10-0.0321%15 Nov →
inferno13–30.0813%14 Nov →
overpass13–60.0118%14 Nov →
inferno9–40.0723%14 Nov →
anubis13–40.0432%14 Nov →
nuke4–13-0.0925%14 Nov →
nuke13–4-0.0112%14 Nov →
inferno13–00.0439%14 Nov →
inferno8–13-0.0922%13 Nov →
overpass10–13-0.0717%13 Nov →
ancient13–11-0.0612%13 Nov →
dust26–13-0.0711%13 Nov →
nuke13–8-0.0122%13 Nov →
inferno7–9-0.0819%13 Nov →
nuke8–8-0.0118%13 Nov →
ancient11–13-0.0143%13 Nov →
dust23–13-0.0235%13 Nov →
train9–13-0.0511%13 Nov →
inferno10–13-0.0135%11 Nov →
inferno10–13-0.0113%10 Nov →
mirage16–14-0.0718%10 Nov →
dust22–13-0.0623%9 Nov →
nuke13–11-0.0525%9 Nov →
overpass7–13-0.0128%9 Nov →
mirage4–13-0.0811%9 Nov →
mirage16–13-0.0536%9 Nov →
dust214–16-0.0420%9 Nov →
mirage13–70.0119%9 Nov →
train13–5-0.0059%8 Nov →
train4–13-0.0428%6 Nov →
nuke8–13-0.0813%6 Nov →
ancient10–13-0.0919%6 Nov →
overpass13–4-0.0035%5 Nov →
mirage10–13-0.0420%3 Nov →
inferno6–13-0.0427%3 Nov →
mirage6–130.0426%31 Oct →
mirage12–12-0.0521%30 Oct →
inferno13–50.0930%30 Oct →
mirage13–90.0148%27 Oct →
ancient3–13-0.0711%27 Oct →
dust213–9-0.0222%26 Oct →
inferno13–11-0.0026%25 Oct →
mirage7–13-0.0617%19 Oct →
mirage10–13-0.0333%19 Oct →
mirage13–100.0316%19 Oct →
dust26–13-0.0521%19 Oct →
dust213–6-0.0440%19 Oct →
dust213–50.016%14 Oct →
inferno12–12-0.0132%14 Oct →
inferno9–13-0.0429%10 Oct →
inferno13–7-0.0411%10 Oct →
dust213–40.1035%18 Sept →
inferno0–13-0.0048%18 Sept →
dust213–6-0.038%17 Sept →
anubis8–13-0.0521%21 Aug →
mirage13–100.0027%14 Aug →
dust22–13-0.0826%14 Aug →
inferno13–11-0.0218%14 Aug →
dust25–13-0.0148%13 Aug →
dust212–120.0136%11 Aug →
dust212–120.0035%11 Aug →
mirage5–13-0.0430%11 Aug →
dust24–13-0.0524%11 Aug →
mirage13–80.0833%7 Aug →
mirage12–120.0439%5 Aug →
dust28–13-0.0242%4 Aug →
dust213–20.0346%3 Aug →
dust213–10-0.0226%24 Jul →
inferno13–90.0719%20 Jul →
overpass13–70.0835%16 Jul →
overpass13–90.0320%16 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 →

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