boxf1sh ツ — CS2 Stats

76561199235258430[U:1:1274992702]

2,876Tracked matches56%Win rate2022Tracked since
CSDB Rating4.6 DevelopingHybrid Rifler
Premier CS Rating22,027Top 50% of 819 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#4912 of 14940 tracked
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGboxf1sh ツPREMIER22,027 · Pink bandcsdb.gg/stats

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Performance scores

Aim63
Positioning46
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY52444Last 10052%Win rateLLWLWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression5.3
Utility1.1
Positioning4.6
Opening Duels1.7

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.

Your pro match

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Areas to improve

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

Counter-strafing. Only 70% 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

Aim6.3
Positioning4.6
Utility1.1
Mechanics4.4
Opening Duels1.7
Win Impact6.9

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time535ms−74ms
first ⅓ avg 610ms → last ⅓ avg 535ms
Headshot accuracy16.6%+3.1%
first ⅓ avg 13.5% → last ⅓ avg 16.6%

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

0.15Best rating — ancient 13–8
131Biggest win — cache
8Longest win streak
L2Current streak
109In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 81% over 16dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
ancientB21111052%0.03
nukeB168850%-0.01
anubisS1613381%0.01
cacheB105550%-0.00
vertigoC73443%0.01
mirageD62433%-0.02
dust2D5050%-0.02
train41325%0.03
inferno42250%0.02
italy3030%-0.02
office220100%0.04
boulder220100%0.06
overpass21150%0.02
shelter220100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 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.

16.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
35.2%Spray accuracy
69.8%Counter-strafing
10.3°Preaim
535msReaction time
32.1%T opening success
41.8%CT opening success
0.09Enemies flashed / flash
0.0%Flash assists
8.58HE damage / grenade
0.42Flashes / 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 0.087 — 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 32.1411% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0423%28 Aug
dust21–13-0.0432%28 Aug
anubis16–140.0320%28 Aug
vertigo7–90.1031%28 Aug
cache13–90.0413%27 Aug
office13–8-0.0013%27 Aug
cache11–130.0017%26 Aug
ancient8–130.0412%26 Aug
nuke16–14-0.0111%25 Aug
office13–100.0828%25 Aug
italy12–12-0.0414%24 Aug
cache16–140.0012%24 Aug
boulder13–80.0212%23 Aug
cache1–13-0.0711%23 Aug
overpass12–120.0118%23 Aug
mirage3–13-0.1018%23 Aug
anubis13–80.0522%23 Aug
mirage13–90.0017%22 Aug
train12–120.0412%21 Aug
italy9–13-0.0218%21 Aug
anubis13–100.0515%21 Aug
ancient13–9-0.0124%21 Aug
vertigo6–9-0.0316%20 Aug
dust26–13-0.0512%20 Aug
nuke5–13-0.007%20 Aug
ancient9–130.0126%20 Aug
nuke13–5-0.0114%20 Aug
mirage13–70.0218%20 Aug
ancient11–00.1013%20 Aug
cache7–130.0514%20 Aug
dust25–13-0.0314%20 Aug
vertigo13–70.0316%19 Aug
ancient13–10-0.037%19 Aug
anubis16–120.0316%19 Aug
train11–130.078%18 Aug
nuke3–13-0.068%18 Aug
anubis4–13-0.018%18 Aug
anubis13–9-0.038%15 Aug
ancient13–20.0112%15 Aug
ancient11–13-0.0218%14 Aug
anubis13–110.0215%14 Aug
cache13–10.0111%14 Aug
inferno13–70.0316%12 Aug
train13–70.0428%12 Aug
train4–13-0.038%11 Aug
inferno10–130.0211%11 Aug
ancient10–130.0411%11 Aug
vertigo13–10-0.0015%10 Aug
ancient13–90.1112%9 Aug
vertigo5–13-0.059%9 Aug
shelter13–40.0814%6 Aug
anubis13–80.0412%6 Aug
ancient13–110.0811%5 Aug
ancient13–100.038%5 Aug
nuke13–70.0619%5 Aug
anubis13–9-0.039%4 Aug
ancient13–90.0313%4 Aug
cache13–50.0121%4 Aug
nuke7–13-0.029%4 Aug
nuke13–110.0112%4 Aug
ancient6–13-0.049%3 Aug
cache13–9-0.0711%3 Aug
ancient11–130.058%3 Aug
overpass13–40.0312%2 Aug
ancient5–13-0.027%2 Aug
anubis7–130.0710%2 Aug
ancient0–13-0.0121%2 Aug
mirage3–130.0110%1 Aug
ancient5–130.0514%1 Aug
anubis13–60.009%1 Aug
inferno10–130.0221%1 Aug
vertigo9–50.049%1 Aug
nuke8–8-0.117%1 Aug
shelter13–90.0424%31 Jul
boulder13–60.1014%31 Jul
dust21–13-0.0114%31 Jul
nuke13–30.0516%31 Jul
ancient16–140.013%31 Jul
cache9–13-0.0011%31 Jul
mirage11–13-0.049%31 Jul
nuke13–11-0.0114%30 Jul
dust210–130.0113%30 Jul
anubis13–10-0.0112%30 Jul
ancient14–160.0211%30 Jul
ancient13–80.1519%30 Jul
nuke16–140.0121%30 Jul
vertigo2–13-0.0321%29 Jul
cache14–16-0.0116%29 Jul
anubis9–13-0.096%29 Jul
inferno13–40.026%29 Jul
nuke13–6-0.054%29 Jul
ancient13–50.0417%28 Jul
nuke11–130.0918%28 Jul
nuke6–13-0.0317%28 Jul
italy5–13-0.0019%28 Jul
mirage8–13-0.0114%28 Jul
nuke7–13-0.0218%28 Jul
anubis13–60.1113%28 Jul
anubis13–50.0611%28 Jul
anubis16–14-0.0616%27 Jul

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 →