Honksmaister

Honksmaister — CS2 Stats

FI76561198088116541[U:1:127850813]Steam profile ↗✓ No bans

1,436Tracked matches67%Win rate2022Tracked since
CSDB Rating7.1 StrongPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

+17Tracked matches · now 1,436
+3.3ppWin rate · 63.3% → 66.7%

Rating over time

Premier CS Rating: 22,049 -420 25 Sept – 5 Jul · 8 days played
19,57422,469peak 22,46925 Sept5 Jul
22,577Peak Premier in tracked matches
1,832Highest Faceit ELO seen on CSDB
43Days played since 2025-09-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGHonksmaisterFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO1,832csdb.gg/stats

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Performance scores

Aim82
Positioning65
Utility49

0–100 skill scores via Leetify.

Recent form

HOT59–36–5Last 10059%Win rateLLWWLWWWWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +3.6pp headshot accuracy · −35ms reaction

Win rate 0pp 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 -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 494ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 542ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 560ms

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 (+1.6 against its own average).

Aim8.2
Utility4.9
Positioning6.5
Opening Duels5.1
Clutch3.2

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

jL

Plays most like jL 98% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

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

Reaction time. 570ms 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

Aim8.2
Positioning6.5
Utility4.9
Mechanics7.2
Opening Duels5.0
Win Impact10.0

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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time577ms−48ms
first ⅓ avg 625ms → last ⅓ avg 577ms
Headshot accuracy18.2%−1.1%
first ⅓ avg 19.3% → last ⅓ avg 18.2%

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

0.09Best match rating · 13–3 · dust2, 29 Sept →
33%Best headshot accuracy · 9–5 · eldorado, 8 Aug →
453msFastest reaction time · 13–7 · ancient, 25 Sept →
13–1Biggest win · ancient, 30 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 69% over 13dust2Weakest map · 58% over 24
MapGradePlayedRecordWin rateAvg rating
ancientS2919–1066%0.02
dust2A2414–1058%-0.00
nukeS139–469%-0.01
anubisA127–558%-0.00
overpassA53–260%0.01
cache—31–233%-0.03
mirage—33–0100%0.01
eldorado—21–150%-0.01
poseidon—20–20%0.06
inferno—21–150%-0.06
train—21–150%0.00
vertigo—10–10%-0.05
debris—10–10%-0.11
brewery—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (58% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

270Matches
54%Win rate
1.29Avg K/D
81.8ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient8157%1.3818.1
Dust24556%1.2817.1
Anubis3757%1.2717.9
Nuke3647%1.1315.8
Mirage2650%1.1816.6
Overpass1735%1.3317.3
Train1155%1.3516.4
Vertigo888%1.3919.4

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.

17.4%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.9%Spray accuracy
82.5%Counter-strafing
7.3°Preaim
570msReaction time
45.3%T opening success
54.8%CT opening success
0.67Enemies flashed / flash
7.5%Flash assists
9.82HE damage / grenade
6.98Flashes / match

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0517%4 Oct →
ancient14–160.0415%27 Sept →
anubis13–100.0119%27 Sept →
ancient13–70.0719%25 Sept →
ancient8–13-0.0915%22 Sept →
ancient13–90.0116%22 Sept →
dust213–80.0219%21 Sept →
mirage13–90.0232%21 Sept →
mirage16–14-0.0021%20 Sept →
nuke13–90.0424%20 Sept →
ancient13–50.0322%13 Sept →
ancient13–80.0411%13 Sept →
dust213–90.0113%10 Sept →
nuke13–5-0.0617%10 Sept →
ancient13–60.0919%8 Sept →
dust210–13-0.0210%6 Sept →
dust213–11-0.0010%30 Aug →
ancient13–110.009%30 Aug →
eldorado8–8-0.0323%29 Aug →
poseidon7–90.0429%29 Aug →
inferno9–2-0.0425%29 Aug →
nuke3–9-0.1622%29 Aug →
ancient13–10-0.073%28 Aug →
nuke13–8-0.0117%28 Aug →
ancient10–130.0517%28 Aug →
dust210–13-0.0426%23 Aug →
anubis12–16-0.0213%18 Aug →
ancient13–90.0123%18 Aug →
cache13–90.0415%10 Aug →
dust210–13-0.0432%10 Aug →
vertigo8–8-0.055%8 Aug →
overpass5–90.0229%8 Aug →
debris8–8-0.1111%8 Aug →
poseidon8–80.0830%8 Aug →
eldorado9–50.0133%8 Aug →
nuke5–9-0.0720%8 Aug →
inferno4–9-0.0921%8 Aug →
dust24–13-0.0522%15 Jul →
ancient8–130.0118%15 Jul →
ancient13–40.0314%5 Jul →
overpass13–90.0414%5 Jul →
dust27–13-0.0432%3 Jul →
ancient13–100.0717%3 Jul →
dust213–8-0.028%25 Jun →
dust212–160.0329%3 May →
ancient11–130.0327%3 May →
cache3–13-0.086%3 May →
dust213–50.0320%3 May →
anubis13–8-0.0416%27 Apr →
ancient13–70.0315%27 Apr →
ancient13–70.0519%26 Apr →
dust213–40.0225%26 Apr →
ancient13–80.0313%26 Apr →
dust211–130.0213%26 Apr →
ancient13–6-0.0414%24 Apr →
dust213–70.0022%24 Apr →
ancient11–13-0.0216%22 Apr →
ancient15–15-0.0021%22 Apr →
ancient13–60.0714%19 Apr →
nuke13–60.0116%19 Apr →
nuke13–50.0117%19 Apr →
ancient13–110.0223%12 Apr →
anubis8–13-0.0816%12 Apr →
dust213–7-0.0320%5 Apr →
anubis8–13-0.0416%5 Apr →
ancient14–160.0211%5 Apr →
anubis9–130.008%29 Mar →
ancient8–130.0125%29 Mar →
anubis13–5-0.0011%22 Mar →
dust213–110.0016%22 Mar →
dust213–80.0725%15 Mar →
anubis13–70.0132%15 Mar →
anubis13–80.0617%15 Mar →
anubis13–30.0127%12 Mar →
nuke13–40.0728%12 Mar →
ancient14–160.0315%24 Feb →
dust211–13-0.085%22 Feb →
anubis16–130.0320%22 Feb →
ancient13–70.0522%15 Feb →
mirage13–10-0.0026%15 Feb →
nuke13–11-0.0510%15 Feb →
dust213–6-0.070%15 Feb →
overpass16–140.0116%11 Feb →
ancient13–70.038%11 Feb →
nuke10–130.0227%11 Feb →
anubis10–130.0332%9 Feb →
dust25–130.0023%9 Feb →
nuke13–9-0.0121%30 Sept →
ancient13–10.0612%30 Sept →
overpass8–130.0520%29 Sept →
dust213–30.0921%29 Sept →
train13–50.0625%29 Sept →
dust213–50.0723%29 Sept →
train8–13-0.0519%26 Sept →
nuke13–40.0116%26 Sept →
dust213–90.0120%26 Sept →
dust29–13-0.0219%25 Sept →
overpass13–11-0.0518%25 Sept →
brewery6–90.0025%24 Sept →
nuke7–90.0114%24 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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