foidmurderer72 — CS2 Stats

76561199234860597[U:1:1274594869]

383Tracked matches86%Win rate2023Tracked since
387Hours in CS
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#16251 of 25642 tracked
FaceitLevel 3 · 546 ELOTop 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.4%42.1%42.5%4.1% short
Shot accuracy7.4%12.1%10.9%3.5% short
Kill/death ratio0.920.990.990.07 short
Match win rate39.7%43.9%44.2%4.4% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGfoidmurderer72FACEITLevel 3 · 546 ELOSTANDINGTop 90.6% of rankedPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning58
Utility43

0–100 skill scores via Leetify.

Recent form

HOT67258Last 10067%Win rateWWWWWWWWTW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression8.8
Utility4.3
Positioning5.8
Opening Duels4.2
Clutch4.4

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: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 594ms 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

Aim6.4
Positioning5.8
Utility4.3
Mechanics5.1
Opening Duels4.2
Win Impact10.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time587ms−55ms
first ⅓ avg 642ms → last ⅓ avg 587ms
Headshot accuracy19.6%−0.1%
first ⅓ avg 19.7% → last ⅓ avg 19.6%

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

0.21Best rating — dust2 5–0
130Biggest win — cache
10Longest win streak
W8Current streak
82In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 100% over 5nukeWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageS2316770%0.03
cacheS2015575%0.02
dust2A159660%0.06
nukeB115645%0.02
infernoA95456%0.03
ancientS87188%0.06
overpassA85363%0.03
anubisS550100%0.06
office1010%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,086Lifetime kills
0.92K/D
1,341Matches
39.7%Match win rate
38.4%Headshot %
7.4%Shot accuracy
2,713MVPs
387Hours (in match)
749Bombs planted
275Bombs defused

Most-used weapons

Lifetime map wins

1,883inferno
1,162dust2
944nuke
223vertigo
143train
64lake
53cbble
53militia

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

Faceit stats

Combat

118Matches
44%Win rate
0.96Avg K/D
76.1ADR
37%Headshot %

Clutches & streaks

42%1v1 clutch win
28%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3749%0.9615.7
Inferno1844%1.0915.6
Nuke1741%0.9516.8
Dust21533%0.9013.2
Anubis1145%0.8913.6
Ancient944%0.8314.6
Overpass475%1.4615.3
Train367%1.1716.7

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.

20.3%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.3%Spray accuracy
73.2%Counter-strafing
9.9°Preaim
594msReaction time
43.1%T opening success
50.7%CT opening success
0.51Enemies flashed / flash
5.0%Flash assists
9.72HE damage / grenade
9.91Flashes / match

Recommended for you

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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–80.0311%6 Jul
nuke13–8-0.0416%26 Jun
dust25–00.2111%26 Jun
mirage8–20.0715%26 Jun
cache13–5-0.0010%26 Jun
cache6–10.017%26 Jun
anubis13–80.0222%26 Jun
inferno13–70.0712%26 Jun
dust215–150.0328%26 Jun
inferno13–110.0630%25 Jun
dust213–50.1826%25 Jun
mirage13–4-0.0043%25 Jun
ancient13–10.1318%11 Jun
cache13–70.0021%27 May
mirage13–60.0119%17 May
ancient22–18-0.0616%10 May
anubis16–120.0311%10 May
nuke8–13-0.0628%10 May
overpass13–110.0320%10 May
dust29–130.0125%10 May
anubis13–110.0917%10 May
dust213–11-0.0413%10 May
cache13–110.0730%9 May
cache13–60.0513%9 May
cache12–120.0423%9 May
dust211–130.0622%6 May
ancient13–11-0.0520%6 May
cache13–10-0.0416%6 May
inferno8–13-0.0632%6 May
anubis13–70.0216%5 May
cache13–8-0.0020%5 May
cache13–50.1117%5 May
cache13–100.1419%5 May
cache4–13-0.0514%5 May
nuke10–130.0523%5 May
mirage16–120.0717%5 May
cache12–12-0.0419%4 May
cache13–60.0617%4 May
cache13–8-0.0216%4 May
mirage9–130.0118%2 May
nuke13–80.1010%2 May
dust28–13-0.0110%2 May
nuke13–90.0417%2 May
mirage15–150.0617%2 May
dust213–70.059%2 May
nuke5–130.047%2 May
overpass13–110.0918%2 May
dust23–130.0321%2 May
dust213–90.0123%2 May
cache12–12-0.0711%2 May
cache11–130.0213%2 May
cache13–70.0524%2 May
cache13–70.1527%2 May
cache13–0-0.0325%1 May
cache13–00.0523%1 May
ancient13–90.0717%30 Apr
nuke9–130.0714%30 Apr
dust213–80.0429%28 Apr
mirage13–60.0228%28 Apr
mirage13–16-0.0213%28 Apr
mirage4–00.060%27 Apr
overpass15–150.0811%26 Apr
mirage13–80.0123%26 Apr
mirage13–90.1123%26 Apr
mirage15–150.0513%26 Apr
ancient13–70.0825%26 Apr
inferno9–50.0619%26 Apr
inferno13–50.0531%24 Apr
nuke8–8-0.0315%24 Apr
ancient13–90.0416%19 Apr
inferno3–13-0.0610%19 Apr
nuke4–130.0320%19 Apr
mirage13–8-0.045%19 Apr
mirage13–90.1028%19 Apr
overpass13–90.0811%19 Apr
dust213–60.0930%19 Apr
ancient13–40.1511%19 Apr
overpass13–50.1316%19 Apr
anubis13–70.1313%19 Apr
mirage13–40.1532%19 Apr
mirage13–110.0927%19 Apr
mirage13–90.0127%11 Apr
office6–13-0.0513%11 Apr
ancient5–120.1223%24 Mar
dust28–130.1024%24 Mar
overpass6–13-0.1024%11 Feb
mirage8–130.0138%6 Feb
mirage8–13-0.0625%6 Feb
mirage7–13-0.0430%29 Jan
inferno6–13-0.088%26 Jan
overpass7–13-0.0818%26 Jan
mirage13–30.078%26 Jan
dust213–100.0417%26 Jan
mirage13–2-0.0125%26 Jan
nuke13–10-0.0218%26 Jan
inferno9–20.1922%26 Jan
mirage13–30.0513%25 Jan
nuke13–70.0810%31 Dec
overpass13–3-0.0123%7 Dec
inferno10–130.0421%7 Dec

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →