TheHonoredOne

TheHonoredOne — CS2 Stats

IS76561198063607939[U:1:103342211]Steam profile ↗✓ No bans

1,436Tracked matches54%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating19,157Top 50% of 215,386 CSDB-tracked playersPurple band · top ~11.9% of ranked players (population est.)
CSDB Leaderboard#98198 of 261531 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). 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: 19,157 -470 28 Jul – 12 Nov · 34 days played
18,88822,094peak 22,09428 Jul12 Nov
22,094Peak Premier in tracked matches
51Days played since 2026-05-19

Premier CS Rating

  • 2,937 below peak (22,094)
  • -1,350 over 30 days · declining
  • -842 over 90 days
  • Next: Pink band at 20,000 — 843 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-24
  • Purple band first seen 2026-09-24

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

Share this profile

CSDB.GGTheHonoredOnePREMIER19,157 · Purple bandcsdb.gg/stats

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Performance scores

Aim86
Positioning69
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateWLWWLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +4.5pp headshot accuracy · +9ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 575ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim8.6
Utility4.2
Positioning6.9
Opening Duels3.8

Sharp aimerLimited utility dependence

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower 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. 70% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.0° off target when enemies appear — placement, not flicking, is the bigger win available.

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

CT openings. Opening success drops from 70% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 572ms 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

Aim8.6
Positioning6.9
Utility4.2
Mechanics8.1
Opening Duels6.8
Win Impact6.2

Composite 7.1/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time567ms−31ms
first ⅓ avg 598ms → last ⅓ avg 567ms
Headshot accuracy19.3%+0.9%
first ⅓ avg 18.4% → last ⅓ avg 19.3%

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

0.31Best match rating · 9–2 · inferno, 8 Nov →
100%Best headshot accuracy · 13–5 · nuke, 18 Aug →
406msFastest reaction time · 13–10 · cache, 13 Aug →
13–0Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 60% over 5ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3316–1748%0.04
cacheB2614–1254%0.02
nukeA1710–759%0.02
anubisB105–550%0.03
ancientD61–517%0.00
mirageA53–260%0.01
dust2—31–233%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches
58%Win rate
1.26Avg K/D
—ADR
44%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

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.

19.4%Headshot accuracy
41.5%Accuracy (enemy spotted)
44.6%Spray accuracy
86.6%Counter-strafing
11.0°Preaim
572msReaction time
69.8%T opening success
44.8%CT opening success
0.37Enemies flashed / flash
7.0%Flash assists
12.60HE damage / grenade
4.76Flashes / 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 0.372 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0221%12 Nov →
cache8–13-0.0216%12 Nov →
inferno13–30.0519%12 Nov →
cache13–60.1119%10 Nov →
dust27–13-0.0026%10 Nov →
inferno13–60.1028%8 Nov →
inferno9–20.3123%8 Nov →
nuke13–40.1121%6 Nov →
cache5–13-0.0223%6 Nov →
dust28–13-0.0715%3 Nov →
mirage15–150.0320%1 Nov →
mirage13–6-0.0112%31 Oct →
ancient8–130.0518%29 Oct →
cache9–130.0524%27 Oct →
nuke13–30.0617%25 Oct →
anubis13–60.0318%25 Oct →
nuke11–13-0.0118%25 Oct →
inferno13–70.0414%22 Oct →
cache13–11-0.0212%22 Oct →
inferno5–130.0213%18 Oct →
nuke7–13-0.0220%18 Oct →
inferno13–110.0214%15 Oct →
nuke7–13-0.0634%15 Oct →
inferno16–14-0.0012%11 Oct →
dust213–50.0923%11 Oct →
cache13–20.1318%8 Oct →
mirage11–130.0224%8 Oct →
inferno12–120.0524%2 Oct →
inferno9–13-0.0415%25 Sept →
nuke13–00.0137%25 Sept →
cache10–130.0216%13 Sept →
inferno8–130.0113%10 Sept →
ancient13–16-0.029%10 Sept →
anubis2–60.0335%8 Sept →
ancient11–130.0222%8 Sept →
nuke13–40.0628%6 Sept →
anubis5–130.0624%6 Sept →
cache13–10-0.0222%5 Sept →
inferno2–13-0.0314%2 Sept →
inferno3–13-0.0219%2 Sept →
inferno7–130.0722%30 Aug →
anubis8–13-0.0628%27 Aug →
cache3–13-0.0013%27 Aug →
cache6–13-0.0316%27 Aug →
inferno13–40.0612%24 Aug →
inferno13–90.0113%24 Aug →
nuke13–10.0138%24 Aug →
nuke13–5-0.03100%18 Aug →
cache13–80.0820%16 Aug →
cache13–90.0216%15 Aug →
anubis13–110.0513%15 Aug →
cache13–100.0921%13 Aug →
inferno7–130.0224%13 Aug →
inferno13–60.1327%11 Aug →
inferno4–13-0.0311%11 Aug →
nuke16–14-0.0510%9 Aug →
cache13–160.0718%9 Aug →
nuke13–60.0521%9 Aug →
anubis0–13-0.0650%7 Aug →
ancient13–110.0116%7 Aug →
cache14–16-0.029%7 Aug →
anubis8–13-0.0025%7 Aug →
inferno15–150.0110%6 Aug →
inferno15–15-0.0416%6 Aug →
nuke16–130.0720%6 Aug →
cache16–130.0220%4 Aug →
inferno7–13-0.0211%30 Jul →
inferno16–130.1018%30 Jul →
cache13–9-0.0422%28 Jul →
nuke15–150.0622%28 Jul →
inferno11–130.059%25 Jul →
inferno13–5-0.0018%25 Jul →
anubis13–70.0912%25 Jul →
nuke1–13-0.0212%23 Jul →
cache16–140.0220%23 Jul →
inferno10–130.0213%21 Jul →
nuke9–40.0719%21 Jul →
anubis13–30.1422%19 Jul →
nuke7–13-0.0219%19 Jul →
anubis13–100.0516%16 Jul →
ancient10–13-0.0127%16 Jul →
inferno8–13-0.067%14 Jul →
inferno13–90.0217%14 Jul →
inferno9–10.2227%14 Jul →
inferno4–13-0.0212%12 Jul →
ancient7–13-0.0319%12 Jul →
mirage13–7-0.0315%12 Jul →
cache13–80.0627%11 Jul →
nuke6–13-0.0516%11 Jul →
inferno13–40.0614%11 Jul →
inferno13–8-0.0116%7 Jul →
cache13–60.1321%7 Jul →
inferno13–20.1018%5 Jul →
cache4–13-0.0324%5 Jul →
cache12–12-0.0112%28 May →
cache8–130.0017%28 May →
cache13–100.0025%25 May →
inferno12–12-0.0021%21 May →
cache6–13-0.0232%21 May →
cache13–10-0.0218%19 May →

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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