Scarlos "Horndog" Schubert IV

Scarlos "Horndog" Schubert IV — CS2 Stats

US76561198844824909[U:1:884559181]Steam profile ↗✓ No bans

1,028Tracked matches52%Win rate2020Tracked since
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim40
Positioning31
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY474112Last 10047%Win rateLWLLLLWTWW

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

Player DNA

Aim4.0
Aggression2.1
Utility5.5
Positioning3.1
Opening Duels0.0

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 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.0
Positioning3.1
Utility5.5
Mechanics4.3
Opening Duels0.0
Win Impact5.6

Composite 3.9/10 (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-0.05−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time637ms+4ms
first ⅓ avg 633ms → last ⅓ avg 637ms
Headshot accuracy16.3%−1.4%
first ⅓ avg 17.7% → last ⅓ avg 16.3%

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

0.09Best rating — inferno 13–2
132Biggest win — mirage
4Longest win streak
46In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 63% over 16anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B26121446%-0.03
infernoA1610663%-0.04
nukeD1331023%-0.03
vertigoA116555%-0.04
mirageB105550%-0.04
anubisD5050%-0.04
overpass42250%-0.03
train42250%-0.05
office32167%-0.00
cache32167%-0.08
ancient21150%-0.06
warden110100%-0.03
alpine110100%-0.02
stronghold1010%-0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.1%Headshot accuracy
29.5%Accuracy (enemy spotted)
32.7%Spray accuracy
69.4%Counter-strafing
11.2°Preaim
623msReaction time
23.3%T opening success
30.1%CT opening success
0.65Enemies flashed / flash
9.2%Flash assists
8.36HE damage / grenade
8.62Flashes / 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 23.297% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0510%24 Aug
vertigo13–10-0.0626%24 Aug
vertigo6–13-0.0224%18 Aug
dust21–13-0.1033%18 Aug
overpass2–13-0.0642%18 Aug
mirage10–13-0.0520%12 Aug
vertigo13–5-0.0211%12 Aug
dust212–120.0028%12 Aug
train13–5-0.0620%12 Aug
nuke13–9-0.0311%6 Aug
train13–30.0112%6 Aug
inferno5–13-0.063%6 Aug
dust212–12-0.077%6 Aug
office13–10-0.036%5 Aug
dust28–13-0.0517%5 Aug
nuke11–13-0.0125%5 Aug
dust213–9-0.018%4 Aug
vertigo13–6-0.0717%4 Aug
mirage13–6-0.0311%30 Jul
inferno13–40.054%30 Jul
dust210–13-0.0510%30 Jul
inferno3–13-0.0217%29 Jul
dust210–13-0.0619%29 Jul
cache7–13-0.1111%22 Jul
nuke13–4-0.078%22 Jul
vertigo12–12-0.0110%22 Jul
inferno13–8-0.0829%8 Jul
dust213–90.0227%8 Jul
vertigo8–10-0.1212%8 Jul
warden13–8-0.0310%17 Jun
dust24–13-0.0413%17 Jun
dust210–13-0.0931%21 May
cache13–3-0.097%21 May
anubis10–13-0.0316%19 May
dust213–5-0.027%19 May
inferno13–7-0.046%11 May
dust25–13-0.079%6 May
nuke6–13-0.0410%5 May
dust212–12-0.0523%4 May
cache13–6-0.0311%4 May
mirage12–12-0.0414%20 Apr
inferno13–11-0.0221%20 Apr
train9–13-0.0920%13 Apr
alpine13–9-0.0216%31 Mar
vertigo3–13-0.08100%19 Mar
inferno12–12-0.059%19 Mar
dust213–8-0.0218%17 Mar
mirage4–13-0.0926%17 Mar
anubis8–13-0.0526%16 Mar
nuke11–130.0118%16 Mar
dust213–5-0.0428%8 Mar
anubis4–13-0.1023%8 Mar
mirage13–50.0518%21 Feb
nuke11–13-0.0318%21 Feb
inferno9–13-0.1010%20 Feb
dust213–60.0623%20 Feb
vertigo13–6-0.0011%20 Feb
nuke7–13-0.0124%25 Jan
stronghold8–13-0.1014%25 Jan
mirage13–6-0.004%25 Jan
nuke8–8-0.1018%25 Jan
inferno2–9-0.2025%25 Jan
nuke12–12-0.0120%28 Dec
overpass13–7-0.0220%28 Dec
mirage13–2-0.0325%27 Dec
dust24–70.0118%27 Dec
nuke3–11-0.018%27 Dec
overpass9–130.0113%23 Dec
dust212–120.0212%23 Dec
nuke12–12-0.0319%20 Dec
inferno13–20.0924%20 Dec
vertigo9–1-0.0327%20 Dec
dust213–5-0.023%20 Dec
dust213–11-0.0127%11 Dec
inferno7–13-0.059%11 Dec
dust24–5-0.0629%11 Dec
mirage9–13-0.0813%10 Dec
inferno13–8-0.0213%10 Dec
ancient13–11-0.0712%10 Dec
office13–70.0313%6 Dec
vertigo12–120.0722%3 Dec
anubis11–13-0.0113%3 Dec
inferno13–10-0.0522%28 Nov
office5–13-0.0111%28 Nov
dust213–11-0.0322%28 Nov
mirage13–5-0.1227%27 Nov
nuke13–2-0.0224%26 Nov
anubis6–13-0.0219%26 Nov
dust213–2-0.0227%26 Nov
mirage7–13-0.0425%26 Nov
dust213–9-0.0421%26 Nov
inferno13–10-0.0621%26 Nov
dust212–12-0.0422%25 Nov
inferno13–7-0.058%25 Nov
dust213–100.0316%25 Nov
nuke4–13-0.0424%25 Nov
vertigo12–1-0.070%25 Nov
train6–13-0.0722%24 Nov
inferno13–40.0414%24 Nov
overpass6–0-0.0311%24 Nov

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 →