A Horse Ofcourse

A Horse Ofcourse — CS2 Stats

US76561199508254769[U:1:1547989041]Steam profile ↗✓ No bans

465Tracked matches57%Win rate2023Tracked since
CSDB Rating8.2 StrongAll-Rounder
Premier CS Rating25,741Top 10% of 205,416 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#14457 of 252500 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,741 +3,099 6 Aug – 16 Oct · 36 days played
21,11025,741peak 25,7416 Aug16 Oct
25,920Peak Premier in tracked matches
38Days played since 2026-07-31

Premier CS Rating

  • At peak — 25,741
  • +3,629 over 30 days · improving
  • Next: Gold band at 30,000 — 4,259 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGA Horse OfcoursePREMIER25,741 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning78
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLWLWLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.0pp headshot accuracy · +2ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 529ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 528ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility6.2
Positioning7.8
Opening Duels7.5

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: utility contribution, 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 86 — the mechanical foundation is a clear strength.

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 74% on T to 56% on CT — first contacts on the defending side are being lost.

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

Aim8.6
Positioning7.8
Utility6.2
Mechanics7.7
Opening Duels8.3
Win Impact7.2

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time519ms−4ms
first ⅓ avg 522ms → last ⅓ avg 519ms
Headshot accuracy15.3%−4.1%
first ⅓ avg 19.4% → last ⅓ avg 15.3%

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.

Personal bests

0.23Best match rating · 13–2 · anubis, 4 Oct →
32%Best headshot accuracy · 13–5 · ancient, 14 Aug →
391msFastest reaction time · 13–10 · anubis, 26 Sept →
13–0Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
ancientA2414–1058%0.02
anubisA1811–761%0.05
nukeA149–564%0.03
dust2C125–742%0.02
cacheB115–645%0.04
infernoD103–730%0.01
mirageD91–811%0.04
shelter—11–0100%-0.04
train—10–10%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage 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.

15.9%Headshot accuracy
40.4%Accuracy (enemy spotted)
43.6%Spray accuracy
84.5%Counter-strafing
9.6°Preaim
524msReaction time
73.6%T opening success
56.3%CT opening success
0.55Enemies flashed / flash
7.0%Flash assists
4.33HE damage / grenade
10.95Flashes / match

Recommended for you

Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0418%16 Oct →
dust213–110.0415%16 Oct →
ancient6–13-0.0311%15 Oct →
dust213–80.0717%15 Oct →
ancient9–130.0214%15 Oct →
anubis13–80.2119%15 Oct →
dust29–130.0413%15 Oct →
ancient16–14-0.036%14 Oct →
nuke16–120.0416%14 Oct →
dust216–140.0723%12 Oct →
inferno11–130.0818%11 Oct →
anubis14–160.0016%11 Oct →
mirage13–100.1021%11 Oct →
ancient13–7-0.0110%11 Oct →
nuke13–80.0416%11 Oct →
dust29–13-0.0214%11 Oct →
inferno5–13-0.0813%10 Oct →
anubis11–130.0718%9 Oct →
ancient13–6-0.048%9 Oct →
cache13–110.049%7 Oct →
mirage7–130.0624%7 Oct →
mirage4–13-0.0119%6 Oct →
nuke9–130.0416%6 Oct →
ancient13–40.1130%5 Oct →
dust216–120.0218%5 Oct →
nuke13–90.0615%5 Oct →
anubis13–90.1015%4 Oct →
nuke4–130.0917%4 Oct →
anubis13–20.2316%4 Oct →
ancient13–40.0914%2 Oct →
anubis9–13-0.0613%2 Oct →
inferno13–160.0215%30 Sept →
nuke13–0-0.010%29 Sept →
inferno13–10.0627%29 Sept →
anubis10–13-0.0117%27 Sept →
ancient13–100.0519%27 Sept →
ancient13–60.0419%27 Sept →
inferno13–80.0225%26 Sept →
anubis13–10-0.0217%26 Sept →
nuke2–13-0.0615%26 Sept →
mirage5–13-0.0214%26 Sept →
ancient13–90.0118%26 Sept →
anubis13–60.0127%25 Sept →
dust211–130.0122%25 Sept →
ancient5–13-0.0021%20 Sept →
dust29–130.0019%20 Sept →
ancient13–10-0.0217%20 Sept →
ancient6–13-0.0618%20 Sept →
nuke13–60.0510%20 Sept →
nuke7–130.0616%20 Sept →
anubis13–70.0616%20 Sept →
cache13–90.0814%20 Sept →
cache7–130.0015%19 Sept →
cache6–13-0.0012%19 Sept →
anubis13–110.1117%19 Sept →
anubis11–130.0418%18 Sept →
ancient4–130.0415%18 Sept →
cache4–130.0421%18 Sept →
anubis13–100.0921%18 Sept →
mirage7–130.1218%18 Sept →
inferno5–13-0.0116%18 Sept →
inferno13–50.0129%17 Sept →
anubis13–11-0.0112%15 Sept →
mirage6–130.0818%15 Sept →
anubis8–13-0.0321%14 Sept →
ancient13–70.0326%14 Sept →
anubis13–50.0520%14 Sept →
ancient13–100.0624%14 Sept →
ancient10–130.0720%14 Sept →
inferno7–130.0527%10 Sept →
nuke13–10.070%10 Sept →
cache6–13-0.0217%10 Sept →
ancient9–130.0528%9 Sept →
dust23–130.0117%4 Sept →
ancient2–13-0.0423%4 Sept →
dust213–100.0625%2 Sept →
ancient13–110.0423%2 Sept →
cache13–6-0.0415%2 Sept →
anubis11–130.0418%27 Aug →
mirage7–13-0.0412%25 Aug →
nuke13–100.0424%24 Aug →
mirage3–130.0119%24 Aug →
nuke11–130.0628%24 Aug →
cache5–130.0323%21 Aug →
ancient5–130.1118%21 Aug →
cache8–130.0720%21 Aug →
ancient13–3-0.0214%20 Aug →
shelter13–10-0.0416%17 Aug →
inferno10–13-0.0216%17 Aug →
train7–130.0421%17 Aug →
nuke13–4-0.0526%15 Aug →
dust29–13-0.0113%14 Aug →
cache13–50.1121%14 Aug →
ancient13–5-0.0532%14 Aug →
cache13–90.089%6 Aug →
mirage6–130.0521%6 Aug →
dust29–13-0.0318%5 Aug →
inferno5–130.0116%31 Jul →
nuke13–10-0.0227%31 Jul →
anubis13–110.0311%31 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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