HoRiZoN \(〇_o)/

HoRiZoN \(〇_o)/ — CS2 Stats

76561198058502545[U:1:98236817]Steam profile ↗✓ No bans

3,277Tracked matches48%Win rate2023Tracked since
CSDB Rating4.6 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,969 -483 21 Aug – 29 Sept · 14 days played
13,45515,556peak 15,55621 Aug29 Sept
15,607Peak Premier in tracked matches
21Days played since 2026-08-14

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

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CSDB.GGHoRiZoN \(〇_o)/FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning44
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLLWLWWWLLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −2.1pp headshot accuracy · −75ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 583ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim5.5
Utility6.0
Positioning4.4
Opening Duels1.6
Clutch2.6

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.

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

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim5.5
Positioning4.4
Utility6.0
Mechanics3.4
Opening Duels1.8
Win Impact4.4

Composite 4.6/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time595ms−36ms
first ⅓ avg 631ms → last ⅓ avg 595ms
Headshot accuracy19.1%+3.4%
first ⅓ avg 15.7% → last ⅓ avg 19.1%

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

0.18Best match rating · 9–3 · nuke, 30 Aug →
50%Best headshot accuracy · 7–9 · debris, 7 Sept →
438msFastest reaction time · 13–7 · inferno, 23 Aug →
13–0Biggest win · train, 1 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 80% over 5dust2Weakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
nukeB2612–1446%0.00
infernoC239–1439%-0.02
dust2C197–1237%-0.03
ancientA95–456%0.01
cacheB63–350%-0.05
anubisB63–350%-0.01
trainS54–180%-0.03
debris—20–20%0.01
mirage—21–150%-0.06
office—10–10%-0.02
overpass—10–10%-0.23

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
48%Win rate
0.83Avg K/D
72.4ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno667%0.8711.2
Mirage425%0.7813.8
Ancient30%0.6010.3
Train333%0.9412.7
Anubis250%1.1515.0
Dust22100%0.7612.5
Nuke1100%0.7112.0

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.

16.4%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.8%Spray accuracy
65.2%Counter-strafing
10.4°Preaim
589msReaction time
25.9%T opening success
44.4%CT opening success
0.49Enemies flashed / flash
5.6%Flash assists
8.75HE damage / grenade
15.07Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4943 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 25.8923% — below the 40% mark we flag

Spend your practice time on Dust 2

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.049%28 Oct →
dust24–130.0429%29 Sept →
inferno13–10-0.0216%29 Sept →
inferno6–90.024%21 Sept →
nuke9–7-0.0335%21 Sept →
nuke9–50.0023%21 Sept →
ancient13–90.0619%10 Sept →
train6–13-0.099%10 Sept →
inferno8–13-0.0117%10 Sept →
cache13–7-0.0221%10 Sept →
office7–13-0.0217%9 Sept →
nuke11–130.0123%8 Sept →
ancient13–30.0114%7 Sept →
inferno9–13-0.0514%7 Sept →
cache11–13-0.0622%7 Sept →
inferno13–10-0.0415%7 Sept →
dust212–12-0.0722%7 Sept →
nuke8–8-0.0310%7 Sept →
nuke7–90.0737%7 Sept →
overpass0–9-0.2329%7 Sept →
debris7–90.0150%7 Sept →
nuke16–14-0.0018%7 Sept →
nuke16–130.0016%7 Sept →
anubis9–13-0.0118%7 Sept →
nuke6–1-0.0115%7 Sept →
dust210–13-0.0122%7 Sept →
dust213–11-0.0610%6 Sept →
train13–4-0.0714%6 Sept →
inferno9–7-0.0725%6 Sept →
inferno9–50.0319%6 Sept →
inferno8–13-0.0310%6 Sept →
dust213–40.069%6 Sept →
anubis5–13-0.0620%6 Sept →
dust213–50.0412%6 Sept →
ancient4–130.0318%6 Sept →
nuke9–130.0211%6 Sept →
cache2–13-0.0018%6 Sept →
cache13–3-0.1318%1 Sept →
train13–0-0.0313%1 Sept →
nuke9–30.1828%30 Aug →
nuke1–9-0.1917%30 Aug →
inferno4–9-0.1512%30 Aug →
nuke9–40.0517%30 Aug →
nuke6–9-0.0911%30 Aug →
nuke9–20.1219%30 Aug →
inferno8–80.0313%30 Aug →
debris5–90.0111%30 Aug →
inferno5–9-0.0329%30 Aug →
inferno6–9-0.1319%30 Aug →
nuke4–9-0.0312%30 Aug →
inferno7–9-0.0120%30 Aug →
nuke5–90.0110%30 Aug →
dust22–13-0.1110%27 Aug →
nuke7–13-0.0231%27 Aug →
anubis13–80.1011%26 Aug →
nuke6–13-0.0517%26 Aug →
inferno13–10-0.0318%26 Aug →
dust27–13-0.0325%26 Aug →
ancient7–13-0.0513%24 Aug →
nuke15–15-0.0319%24 Aug →
anubis1–13-0.0527%24 Aug →
inferno11–13-0.0614%24 Aug →
dust213–40.0626%24 Aug →
inferno13–7-0.0118%23 Aug →
anubis16–14-0.0423%23 Aug →
inferno6–13-0.0413%22 Aug →
cache13–100.0314%22 Aug →
nuke14–16-0.0617%22 Aug →
nuke13–20.073%22 Aug →
ancient13–50.035%22 Aug →
mirage4–13-0.088%22 Aug →
dust215–150.0119%22 Aug →
dust27–13-0.1111%21 Aug →
inferno13–80.0415%21 Aug →
ancient13–90.0019%21 Aug →
anubis13–110.014%21 Aug →
ancient13–80.027%21 Aug →
mirage13–3-0.0412%21 Aug →
nuke13–10-0.0119%21 Aug →
ancient5–13-0.058%21 Aug →
dust216–14-0.0621%19 Aug →
dust29–13-0.0812%19 Aug →
dust213–90.0132%19 Aug →
ancient15–150.0312%19 Aug →
inferno7–130.0411%19 Aug →
nuke8–13-0.0610%18 Aug →
dust24–13-0.0913%18 Aug →
nuke13–110.0422%18 Aug →
train13–5-0.0118%18 Aug →
inferno3–13-0.0223%17 Aug →
inferno13–50.0511%17 Aug →
dust211–13-0.0220%15 Aug →
nuke13–110.0718%15 Aug →
train13–40.0515%15 Aug →
cache3–13-0.0827%15 Aug →
nuke8–8-0.0217%15 Aug →
inferno9–60.0626%15 Aug →
dust24–12-0.0124%14 Aug →
dust213–9-0.0615%14 Aug →
inferno3–90.0222%14 Aug →

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 →

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