Actual Horse (Real)

Actual Horse (Real) — CS2 Stats

76561198335313355[U:1:375047627]Steam profile ↗✓ No bans

130Tracked matches56%Win rate2022Tracked since
CSDB Rating5.0 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGActual Horse (Real)FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim53
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

COLD52417Last 10052%Win rateLWWLTTLTWL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Aim5.3
Aggression3.7
Utility6.0
Positioning4.2
Opening Duels0.6
Clutch3.8

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 79% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim5.3
Positioning4.2
Utility6.0
Mechanics5.8
Opening Duels1.5
Win Impact6.9

Composite 5.0/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time643ms−35ms
first ⅓ avg 678ms → last ⅓ avg 643ms
Headshot accuracy22.3%+2.9%
first ⅓ avg 19.4% → last ⅓ avg 22.3%

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

0.13Best rating — inferno 16–5
162Biggest win — dust2
7Longest win streak
67In matches decided by ≤2 rounds
21Overtime games

Map breakdown

anubisBest map · 69% over 13infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B33171652%-0.01
mirageB29151452%-0.02
anubisS139469%-0.01
infernoD124833%-0.02
ancientC52340%0.01
nukeC52340%-0.04
vertigo220100%0.02
overpass110100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

38Matches
53%Win rate
0.88Avg K/D
65.7ADR
54%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21354%0.8913.1
Mirage1145%0.9012.2
Anubis683%1.0218.3
Ancient475%0.8611.8
Inferno30%0.7611.0

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.

22.7%Headshot accuracy
28.2%Accuracy (enemy spotted)
36.4%Spray accuracy
76.1%Counter-strafing
11.1°Preaim
643msReaction time
22.7%T opening success
41.9%CT opening success
0.58Enemies flashed / flash
12.1%Flash assists
5.06HE damage / grenade
12.52Flashes / 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 22.6697% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0525%5 Aug
dust213–10-0.0226%5 Aug
mirage13–11-0.0516%3 Jul
dust25–130.0349%22 Jun
ancient12–12-0.0718%28 May
anubis12–12-0.0026%28 May
ancient10–130.0228%25 Apr
dust212–12-0.0126%25 Apr
mirage13–0-0.0013%23 Apr
dust29–13-0.0435%15 Apr
nuke5–130.0124%15 Apr
anubis13–100.0337%15 Apr
anubis13–100.0414%15 Apr
anubis13–8-0.0526%14 Apr
dust222–19-0.0217%13 Apr
mirage13–50.0330%13 Apr
mirage13–9-0.0320%13 Apr
anubis13–100.0222%13 Apr
inferno6–13-0.0925%12 Apr
anubis13–6-0.0318%12 Apr
mirage10–0-0.0515%8 Apr
mirage1–13-0.0330%3 Apr
nuke16–14-0.0418%1 Apr
dust24–13-0.0129%1 Apr
dust28–130.0010%1 Apr
dust24–13-0.0021%31 Mar
anubis7–13-0.088%31 Mar
inferno13–8-0.0227%30 Mar
ancient13–6-0.0119%30 Mar
anubis4–13-0.1014%30 Mar
inferno15–15-0.0414%29 Mar
mirage8–13-0.0022%29 Mar
dust24–13-0.0817%29 Mar
anubis13–8-0.018%29 Mar
mirage7–13-0.0614%29 Mar
mirage9–13-0.0018%29 Mar
dust213–70.0437%28 Mar
dust29–13-0.0426%27 Mar
mirage4–13-0.0730%27 Mar
inferno5–13-0.1027%26 Mar
dust29–13-0.0522%26 Mar
mirage11–130.0124%26 Mar
dust213–9-0.044%26 Mar
dust27–13-0.0531%23 Mar
dust213–6-0.0032%23 Mar
mirage13–1-0.057%23 Mar
dust213–10.0129%23 Mar
mirage9–13-0.0528%23 Mar
dust211–130.0318%19 Mar
mirage13–50.0848%19 Mar
mirage13–3-0.0825%16 Mar
dust213–9-0.0317%14 Mar
nuke13–7-0.0317%14 Mar
mirage4–13-0.0514%11 Mar
inferno16–13-0.0418%8 Mar
ancient13–70.0435%8 Mar
anubis13–10-0.0211%7 Mar
mirage13–40.0532%7 Mar
dust213–60.0619%6 Mar
mirage9–13-0.076%5 Mar
dust216–130.0535%3 Mar
mirage13–100.0433%23 Feb
dust213–11-0.0623%22 Feb
anubis13–6-0.0421%21 Feb
ancient11–130.0415%20 Feb
dust213–50.0126%20 Feb
mirage13–100.0227%20 Feb
mirage13–8-0.0618%19 Feb
inferno11–13-0.0125%19 Feb
mirage5–13-0.0912%19 Feb
anubis3–130.0533%18 Feb
inferno0–6-0.0833%18 Feb
anubis13–30.0821%18 Feb
dust212–16-0.0618%18 Feb
nuke9–13-0.0425%17 Feb
mirage14–16-0.0512%9 Feb
dust27–13-0.0017%5 Feb
dust213–70.0533%4 Feb
inferno10–130.0215%2 Feb
vertigo13–2-0.0120%18 Dec
nuke9–13-0.0917%7 Aug
vertigo16–140.0520%6 Aug
dust214–16-0.0018%5 Aug
mirage13–110.0123%10 Jul
inferno4–9-0.0225%13 Jun
mirage13–5-0.0430%22 Nov
dust216–14-0.0511%4 Sept
dust28–1-0.028%4 Sept
inferno3–16-0.0316%1 Sept
inferno16–50.1311%31 Aug
mirage15–15-0.0418%31 Aug
mirage8–80.0121%30 Aug
dust216–9-0.0512%30 Aug
dust214–30.1126%29 Aug
dust216–20.0419%29 Aug
mirage15–15-0.0213%29 Aug
overpass16–90.0214%29 Aug
inferno16–60.0128%29 Aug
mirage16–110.0610%29 Aug
dust213–16-0.0219%28 Aug

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 →