scruffy mode: orsted — CS2 Stats

76561198195025194[U:1:234759466]

1,579Tracked matches46%Win rate2020Tracked since
CSDB Rating5.8 SolidAggressive Rifler
FaceitLevel 10 · 1,943 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGscruffy mode: orstedFACEITLevel 10 · 1,943 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning64
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY58366Last 10058%Win rateLWLWWLWLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.7
Aggression9.2
Utility4.5
Positioning6.4
Opening Duels4.6
Clutch4.0

Strong CT-side opener

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

donk

Plays most like donk 90% 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

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

T-side openings. Opening success drops from 58% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.7
Positioning6.4
Utility4.5
Mechanics6.6
Opening Duels4.6
Win Impact3.8

Composite 5.8/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time534ms−58ms
first ⅓ avg 592ms → last ⅓ avg 534ms
Headshot accuracy17.4%−4.4%
first ⅓ avg 21.9% → last ⅓ avg 17.4%

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

0.43Best rating — nuke 9–0
132Biggest win — cache
8Longest win streak
1110In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S1510567%0.02
ancientB157847%0.01
mirageB136746%0.01
cacheA138562%0.05
nukeS108280%0.05
overpassS107370%0.04
infernoD93633%-0.00
anubisC83538%-0.00
trainS65183%0.04
piranesi110100%0.08

Across the last 100 tracked matches.

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

Faceit stats

Combat

567Matches
52%Win rate
1.10Avg K/D
83.0ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient7044%0.9114.2
Mirage6748%0.9415.6
Anubis5050%1.0916.3
Dust24455%1.1315.6
Inferno4045%0.8814.7
Nuke3447%1.0015.8
Overpass2756%1.1115.8
Train2361%0.9214.6

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.

17.0%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.6%Spray accuracy
79.5%Counter-strafing
10.1°Preaim
532msReaction time
38.4%T opening success
58.2%CT opening success
0.66Enemies flashed / flash
2.0%Flash assists
8.42HE damage / grenade
6.57Flashes / 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

    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 38.4377% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0127%7 Aug
dust213–30.0316%7 Aug
inferno9–13-0.0414%6 Aug
mirage13–60.009%6 Aug
cache13–110.0513%6 Aug
cache6–130.0823%5 Aug
nuke13–50.1624%5 Aug
mirage14–160.0424%31 Jul
mirage8–13-0.0118%31 Jul
ancient13–110.0219%30 Jul
ancient1–13-0.0610%28 Jul
anubis2–13-0.0225%28 Jul
dust23–130.0210%28 Jul
dust213–10-0.0512%23 Jul
dust216–140.0519%21 Jul
mirage15–150.0122%21 Jul
anubis11–130.049%20 Jul
cache5–13-0.0315%18 Jul
mirage11–130.0924%16 Jul
dust213–110.0915%16 Jul
cache11–130.0813%16 Jul
cache13–20.0115%13 Jul
ancient13–10-0.0222%10 Jul
dust21–12-0.0831%3 Jul
cache11–130.016%3 Jul
anubis12–120.0112%3 Jul
cache13–100.0518%26 Jun
cache13–70.1415%23 Jun
inferno13–4-0.0617%20 Jun
mirage10–13-0.0314%20 Jun
cache13–100.0520%19 Jun
overpass12–120.0122%18 Jun
anubis10–6-0.0122%17 Jun
cache13–30.0416%17 Jun
cache12–120.0115%12 Jun
dust213–60.0517%10 Jun
cache13–40.1116%8 Jun
dust213–110.0616%6 Jun
inferno3–13-0.0722%3 Jun
nuke6–13-0.0517%1 Jun
ancient13–80.0017%30 May
inferno13–110.0918%29 May
inferno13–10-0.0516%29 May
nuke8–13-0.0125%29 May
ancient13–5-0.0417%29 May
anubis13–80.0511%27 May
cache13–100.0018%7 May
mirage11–130.0233%26 Apr
ancient9–130.0518%26 Apr
dust213–90.0514%26 Apr
ancient14–16-0.0118%26 Apr
overpass13–100.0024%22 Apr
anubis8–13-0.084%21 Apr
ancient7–13-0.0119%12 Apr
ancient13–80.0321%6 Apr
mirage13–110.0028%6 Apr
dust29–13-0.0210%13 Feb
mirage13–30.0311%13 Feb
ancient16–19-0.0215%12 Feb
dust213–90.0222%12 Feb
overpass13–110.0622%12 Feb
dust213–70.0630%12 Feb
anubis13–70.0025%12 Feb
inferno11–130.0118%29 Jan
inferno9–130.0317%17 Jan
anubis6–13-0.0138%15 Jan
ancient14–160.0022%15 Jan
ancient10–130.0630%15 Jan
mirage5–13-0.0231%14 Jan
nuke13–9-0.0019%13 Jan
overpass12–120.0112%12 Jan
overpass13–80.0231%29 Dec
overpass13–70.0422%16 Dec
train13–10-0.0034%13 Dec
nuke13–10-0.0111%12 Dec
ancient13–60.1128%8 Dec
train11–130.0925%4 Dec
nuke16–13-0.016%27 Nov
mirage13–11-0.0217%27 Nov
train13–7-0.0728%26 Nov
mirage13–80.0818%25 Nov
piranesi13–70.0826%23 Nov
overpass13–110.0325%21 Nov
overpass13–50.0424%20 Nov
train13–100.0915%16 Nov
inferno15–150.0327%10 Nov
ancient13–60.0727%10 Nov
mirage13–6-0.0118%10 Nov
nuke13–5-0.0117%10 Nov
overpass7–13-0.0021%10 Nov
train13–40.0633%5 Nov
nuke13–10-0.0112%5 Nov
nuke13–110.0313%27 Oct
train13–80.0612%25 Oct
ancient6–13-0.0219%23 Oct
dust28–13-0.0521%23 Oct
dust213–90.0222%22 Oct
overpass9–40.1726%22 Oct
inferno3–90.0429%22 Oct
nuke9–00.4325%22 Oct

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →