FoxyMarty — CS2 Stats

76561198347814096[U:1:387548368]✓ No bans

1,609Tracked matches48%Win rate2021Tracked since
4,573Hours in CS23Hrs last 2 wks
CSDB Rating5.5 SolidAggressive Rifler
Premier CS Rating15,746Purple band · top ~25.4% of ranked players (population est.)
CSDB Leaderboard#8790 of 14012 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

15,746Peak Premier on CSDB
1Days observed since 2026-08-28

Premier CS Rating

  • At peak — 15,746
  • Next: Pink band at 20,000 4,254 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGFoxyMartyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,746 · Purple bandcsdb.gg/stats

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Performance scores

Aim92
Positioning48
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY43525Last 10043%Win rateLWLLLLWWWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.2
Aggression7.5
Utility3.1
Positioning4.8
Opening Duels2.4
Clutch3.8

Sharp aimerLimited 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.

Your pro match

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 68% 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

Aim9.2
Positioning4.8
Utility3.1
Mechanics4.0
Opening Duels2.4
Win Impact4.4

Composite 5.5/10 (Solid), 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+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time544ms−48ms
first ⅓ avg 592ms → last ⅓ avg 544ms
Headshot accuracy21.3%−3.5%
first ⅓ avg 24.7% → last ⅓ avg 21.3%

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

0.20Best rating — inferno 12–12
131Biggest win — fachwerk
5Longest win streak
103In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B168850%0.02
ancientB137654%0.01
anubisC125742%-0.00
infernoD112918%0.02
mirageD103730%0.02
nukeD93633%0.02
cacheS96367%0.01
vertigoC73443%0.04
poseidonC73443%-0.08
shelter220100%0.09
fachwerk110100%0.06
train1010%0.00
overpass1010%-0.03
debris1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,030Lifetime kills
1.05K/D
3,348Matches
45.6%Match win rate
34.3%Headshot %
9.2%Shot accuracy
7,631MVPs
1,233Hours (in match)
3,477Bombs planted
857Bombs defused

Most-used weapons

Lifetime map wins

5,941dust2
4,758inferno
3,635nuke
1,253vertigo
1,019train
442office
92lake
80aztec

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

Faceit stats

Combat

102Matches
54%Win rate
1.14Avg K/D
82.0ADR
34%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2843%0.9213.8
Anubis1765%1.0916.1
Inferno1644%1.0513.9
Dust21450%1.2117.2
Ancient1362%1.4218.4
Nuke1164%1.4220.2
Train3100%1.3316.0

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.

20.4%Headshot accuracy
43.0%Accuracy (enemy spotted)
49.7%Spray accuracy
68.1%Counter-strafing
6.2°Preaim
536msReaction time
39.1%T opening success
40.4%CT opening success
0.48Enemies flashed / flash
4.8%Flash assists
6.92HE damage / grenade
2.81Flashes / 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. 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 0.48 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 39.1021% — below the 40% mark we flag

Spend your practice time on Inferno

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0222%24 Aug
dust213–110.033%24 Aug
nuke8–13-0.0120%24 Aug
anubis5–13-0.0116%24 Aug
anubis9–130.0516%24 Aug
ancient4–130.0316%24 Aug
dust213–8-0.0213%24 Aug
cache13–110.0122%24 Aug
mirage13–30.1039%24 Aug
inferno13–100.0632%23 Aug
nuke9–130.0112%23 Aug
anubis13–8-0.0033%23 Aug
dust26–13-0.0138%23 Aug
dust213–50.1725%22 Aug
inferno6–130.0415%22 Aug
mirage11–130.1018%22 Aug
nuke13–110.0522%22 Aug
ancient16–120.007%22 Aug
fachwerk13–10.0621%22 Aug
mirage7–13-0.0433%21 Aug
inferno7–13-0.0424%20 Aug
dust27–13-0.0217%20 Aug
ancient13–100.0324%20 Aug
anubis13–70.0115%20 Aug
dust27–00.0645%20 Aug
nuke4–130.0325%20 Aug
train12–120.0017%18 Aug
overpass2–13-0.0324%18 Aug
anubis8–13-0.008%9 Aug
ancient13–50.1922%9 Aug
mirage13–160.0111%9 Aug
anubis10–130.0314%8 Aug
cache13–60.0633%8 Aug
inferno11–13-0.048%8 Aug
anubis13–110.0121%8 Aug
inferno13–50.0233%8 Aug
dust213–100.0125%7 Aug
vertigo13–110.0621%7 Aug
dust213–60.1428%7 Aug
dust211–130.0822%6 Aug
mirage13–40.0713%5 Aug
dust216–14-0.0421%4 Aug
dust25–13-0.0514%4 Aug
anubis4–13-0.0317%4 Aug
vertigo12–120.0311%4 Aug
vertigo6–130.0129%4 Aug
dust26–130.0318%3 Aug
ancient0–4-0.0530%3 Aug
ancient13–2-0.0128%3 Aug
ancient13–20.1211%3 Aug
inferno5–130.0110%3 Aug
ancient13–110.0228%3 Aug
ancient5–13-0.059%1 Aug
inferno6–130.0223%1 Aug
dust24–13-0.105%31 Jul
cache13–4-0.0115%31 Jul
inferno12–120.2023%31 Jul
poseidon4–9-0.1136%31 Jul
mirage7–130.0228%30 Jul
vertigo13–80.0831%30 Jul
poseidon9–6-0.1218%29 Jul
cache5–13-0.0321%29 Jul
vertigo8–130.0229%29 Jul
inferno1–8-0.0150%29 Jul
shelter13–70.1210%28 Jul
mirage13–90.0026%27 Jul
anubis0–13-0.0918%26 Jul
anubis13–11-0.0418%25 Jul
inferno9–13-0.0423%25 Jul
ancient13–40.0214%25 Jul
poseidon8–80.0420%23 Jul
poseidon3–9-0.1244%23 Jul
poseidon0–9-0.2340%21 Jul
ancient7–13-0.0421%21 Jul
shelter13–20.0745%21 Jul
cache13–5-0.0541%21 Jul
vertigo10–13-0.0831%20 Jul
inferno12–12-0.0423%20 Jul
nuke13–50.0432%20 Jul
cache8–13-0.0133%18 Jul
nuke10–130.0625%18 Jul
poseidon9–4-0.0325%16 Jul
vertigo9–60.1919%16 Jul
ancient2–13-0.100%16 Jul
poseidon9–2-0.0129%15 Jul
debris6–9-0.0110%15 Jul
cache13–11-0.0323%15 Jul
mirage4–130.0114%15 Jul
nuke10–13-0.0621%14 Jul
anubis6–13-0.0021%14 Jul
dust210–130.0435%14 Jul
nuke13–50.0730%14 Jul
dust25–130.0021%13 Jul
anubis13–110.0213%13 Jul
dust213–8-0.0433%13 Jul
nuke6–130.0330%13 Jul
cache9–13-0.0511%13 Jul
ancient5–13-0.0024%13 Jul
cache13–40.1627%13 Jul
mirage1–13-0.0521%13 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →