boxf1sh ツ

boxf1sh ツ — CS2 Stats

AU76561199235258430[U:1:1274992702]Steam profile ↗✓ No bans

2,994Tracked matches30%Win rate2022Tracked since
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating19,399Top 50% of 204,219 CSDB-tracked playersPurple band · top ~10.9% of ranked players (population est.)
CSDB Leaderboard#90800 of 251320 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 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: 19,399 -2,628 28 Aug – 11 Oct · 20 days played
19,39922,826peak 22,82628 Aug11 Oct
22,851Peak Premier in tracked matches
24Days played since 2026-08-28

Premier CS Rating

  • 3,427 below peak (22,826)
  • Next: Pink band at 20,000 — 601 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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

Share this profile

CSDB.GGboxf1sh ツPREMIER19,399 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning58
Utility16

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateLLLLLLWWWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.8pp headshot accuracy · −20ms reaction

Win rate down 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

  • 0–5 · 0% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 563ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

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 (+2 against its own average).

Aim5.9
Utility1.6
Positioning5.8
Opening Duels4.0

Limited 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

m0NESY

Plays most like m0NESY 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

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 68% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.9
Positioning5.8
Utility1.6
Mechanics4.1
Opening Duels5.9
Win Impact0.0

Composite 4.4/10 (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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time568ms+32ms
first ⅓ avg 536ms → last ⅓ avg 568ms
Headshot accuracy13.2%−0.8%
first ⅓ avg 14.0% → last ⅓ avg 13.2%

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

0.37Best match rating · 5–1 · rush_001, 3 Oct →
75%Best headshot accuracy · 5–1 · rush_001, 30 Sept →
391msFastest reaction time · 9–1 · inferno, 4 Oct →
13–3Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
2–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

rush_001Best map · 60% over 5mirageWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageD143–1121%0.01
infernoB147–750%0.04
nukeB137–654%0.04
anubisC125–742%0.02
vertigoC94–544%0.08
cacheB84–450%-0.00
dust2C83–538%0.01
ancientA74–357%0.04
rush_001A53–260%0.05
debris—32–167%0.03
office—31–233%0.00
overpass—20–20%-0.02
train—21–150%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). 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.

12.9%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.9%Spray accuracy
68.6%Counter-strafing
9.2°Preaim
566msReaction time
67.7%T opening success
39.8%CT opening success
0.18Enemies flashed / flash
0.0%Flash assists
15.85HE damage / grenade
0.58Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8653% — below the 15% mark we flag

    Aim Training →
  2. 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 0.182 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.8282% — below the 40% mark we flag

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass1–13-0.0315%12 Oct →
vertigo8–130.0213%12 Oct →
cache6–130.0514%11 Oct →
anubis4–130.0915%11 Oct →
ancient3–130.0215%10 Oct →
mirage6–13-0.0012%10 Oct →
anubis13–100.0511%10 Oct →
inferno9–10.160%10 Oct →
inferno9–50.0315%10 Oct →
anubis10–13-0.0213%10 Oct →
mirage13–60.0514%9 Oct →
debris9–60.109%9 Oct →
mirage7–130.0118%9 Oct →
inferno13–7-0.0115%8 Oct →
mirage8–13-0.0211%8 Oct →
debris9–10.0628%8 Oct →
vertigo9–20.2117%8 Oct →
nuke13–40.1214%7 Oct →
inferno9–130.015%7 Oct →
nuke0–13-0.0313%7 Oct →
ancient13–90.034%7 Oct →
anubis13–100.028%7 Oct →
vertigo9–10.2115%7 Oct →
mirage9–130.0213%7 Oct →
mirage13–40.1414%7 Oct →
inferno13–60.1420%6 Oct →
mirage3–13-0.0418%6 Oct →
cache10–13-0.0322%6 Oct →
nuke10–13-0.025%6 Oct →
mirage9–130.037%5 Oct →
dust24–13-0.0215%5 Oct →
mirage13–30.0314%5 Oct →
anubis4–13-0.0613%5 Oct →
debris5–9-0.0613%5 Oct →
vertigo9–30.133%5 Oct →
inferno11–130.0418%4 Oct →
cache14–16-0.029%4 Oct →
dust29–130.0416%4 Oct →
nuke9–00.3327%4 Oct →
inferno9–10.0112%4 Oct →
mirage9–130.0315%3 Oct →
anubis13–100.0419%3 Oct →
rush_0016–8-0.028%3 Oct →
rush_0015–10.3725%3 Oct →
mirage11–13-0.0310%2 Oct →
nuke8–13-0.0312%2 Oct →
office12–120.0611%2 Oct →
vertigo11–13-0.0016%1 Oct →
nuke13–70.0512%1 Oct →
dust213–50.0016%1 Oct →
rush_0018–6-0.0631%1 Oct →
rush_0016–8-0.120%1 Oct →
cache13–70.0013%1 Oct →
inferno13–60.0516%1 Oct →
anubis9–13-0.0013%1 Oct →
ancient6–130.0116%1 Oct →
nuke13–60.0112%1 Oct →
vertigo13–70.058%1 Oct →
inferno7–13-0.0115%30 Sept →
dust28–130.0516%30 Sept →
cache13–50.0116%30 Sept →
office13–5-0.0533%30 Sept →
nuke4–13-0.0310%30 Sept →
rush_0015–10.0975%30 Sept →
mirage7–13-0.0515%30 Sept →
inferno13–11-0.0111%29 Sept →
mirage8–13-0.0213%29 Sept →
cache13–8-0.013%29 Sept →
anubis7–13-0.059%29 Sept →
dust211–130.0216%28 Sept →
anubis8–130.013%28 Sept →
nuke13–80.016%28 Sept →
nuke8–130.0427%28 Sept →
train13–80.0733%28 Sept →
inferno12–120.065%27 Sept →
ancient13–80.1012%27 Sept →
anubis13–50.1215%27 Sept →
ancient13–80.1117%26 Sept →
nuke13–90.0417%26 Sept →
cache13–6-0.007%26 Sept →
vertigo11–130.0325%26 Sept →
train12–120.0323%26 Sept →
overpass6–13-0.0114%26 Sept →
nuke9–13-0.0514%25 Sept →
dust213–100.0114%25 Sept →
inferno4–13-0.0210%24 Sept →
anubis13–70.0913%24 Sept →
dust25–130.0414%24 Sept →
mirage3–13-0.0610%22 Sept →
office6–13-0.019%22 Sept →
inferno3–130.0722%22 Sept →
inferno8–130.0312%21 Sept →
anubis1–13-0.0313%21 Sept →
dust213–8-0.0616%21 Sept →
nuke13–80.0416%2 Sept →
vertigo12–12-0.038%2 Sept →
cache10–13-0.0111%1 Sept →
ancient4–13-0.0421%1 Sept →
vertigo12–120.0718%31 Aug →
ancient13–70.039%31 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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