D1BoxEater

D1BoxEater — CS2 Stats

CA76561199044624878[U:1:1084359150]Steam profile ↗✓ No bans

758Tracked matches47%Win rate2025Tracked since
CSDB Rating2.5 Learning
Premier CS Rating6,299Light Blue band · top ~72.6% of ranked players (population est.)
CSDB Leaderboard#24930 of 32729 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

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CSDB.GGD1BoxEaterFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,299 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim23
Positioning33
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY47458Last 10047%Win rateWWLLWWLLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim2.3
Aggression2.8
Utility2.8
Positioning3.3
Opening Duels0.0
Clutch3.6

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 65% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 678ms 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

Aim2.3
Positioning3.3
Utility2.8
Mechanics4.3
Opening Duels0.1
Win Impact3.9

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time687ms+26ms
first ⅓ avg 661ms → last ⅓ avg 687ms
Headshot accuracy10.7%−2.1%
first ⅓ avg 12.8% → last ⅓ avg 10.7%

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

0.14Best rating — nuke 13–8
130Biggest win — cache
10Longest win streak
W2Current streak
46In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 56% over 18infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2181338%-0.00
cacheA1810856%-0.01
nukeB158753%-0.01
anubisB115645%-0.03
mirageB105550%-0.00
infernoD93633%0.00
officeC52340%0.01
vertigo41325%0.01
train32167%-0.01
ancient32167%-0.04
fachwerk110100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches
43%Win rate
0.91Avg K/D
62.6ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1145%1.3212.4
Dust2714%0.6812.6
Cache650%0.6911.7
Anubis667%1.0312.2
Mirage425%0.538.5
Inferno250%0.7410.5
Vertigo1100%0.455.0

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.

10.8%Headshot accuracy
29.9%Accuracy (enemy spotted)
26.7%Spray accuracy
69.4%Counter-strafing
11.7°Preaim
678msReaction time
22.0%T opening success
30.5%CT opening success
0.37Enemies flashed / flash
3.2%Flash assists
5.56HE damage / grenade
7.78Flashes / 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 10.8345% — 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 0.3746 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 21.9545% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–00.069%27 Aug
cache13–3-0.047%26 Aug
cache4–130.0116%26 Aug
nuke8–130.0415%26 Aug
cache13–8-0.0210%25 Aug
cache13–9-0.0017%25 Aug
nuke4–13-0.0516%24 Aug
anubis14–16-0.077%23 Aug
anubis13–9-0.069%22 Aug
dust26–13-0.080%21 Aug
nuke9–13-0.105%21 Aug
dust213–2-0.035%20 Aug
dust213–5-0.0214%18 Aug
anubis8–13-0.0712%18 Aug
dust29–130.018%17 Aug
inferno13–11-0.0015%17 Aug
inferno3–13-0.129%16 Aug
vertigo8–13-0.0210%16 Aug
dust213–50.029%16 Aug
nuke11–13-0.106%15 Aug
dust25–13-0.0215%15 Aug
anubis13–11-0.0715%13 Aug
cache1–13-0.0414%12 Aug
train13–90.0416%12 Aug
train4–13-0.088%12 Aug
train13–70.009%12 Aug
nuke13–90.0511%12 Aug
cache6–13-0.063%8 Aug
nuke13–11-0.0818%8 Aug
mirage10–13-0.0815%7 Aug
dust25–13-0.1112%6 Aug
mirage13–10-0.0212%6 Aug
mirage13–100.008%6 Aug
cache13–10.0614%6 Aug
nuke13–40.0112%6 Aug
cache13–8-0.0214%5 Aug
cache13–10-0.075%5 Aug
anubis10–30.037%5 Aug
dust213–90.069%5 Aug
cache13–9-0.018%5 Aug
nuke13–60.029%5 Aug
dust212–120.028%4 Aug
dust214–16-0.0113%4 Aug
mirage15–15-0.029%4 Aug
nuke13–8-0.0414%3 Aug
anubis11–130.0122%3 Aug
office13–20.0713%3 Aug
dust26–13-0.0424%3 Aug
vertigo13–00.0814%3 Aug
vertigo11–130.027%2 Aug
cache15–15-0.057%24 Jul
anubis10–13-0.0416%22 Jul
anubis12–12-0.066%22 Jul
cache13–40.0114%21 Jul
mirage8–10.0317%21 Jul
nuke13–100.044%18 Jul
dust212–120.049%18 Jul
mirage10–13-0.0713%18 Jul
dust26–13-0.073%18 Jul
cache15–150.0110%18 Jul
dust213–60.0016%17 Jul
vertigo6–13-0.046%17 Jul
dust27–13-0.043%17 Jul
mirage11–130.0710%17 Jul
ancient5–13-0.0414%14 Jul
anubis13–100.0024%14 Jul
cache13–10-0.0113%13 Jul
inferno8–130.0517%13 Jul
nuke5–3-0.030%13 Jul
mirage6–130.0720%13 Jul
inferno7–13-0.0210%13 Jul
nuke2–13-0.0716%13 Jul
nuke9–13-0.014%13 Jul
dust29–130.0413%13 Jul
dust213–100.0119%13 Jul
dust20–3-0.0317%12 Jul
nuke6–13-0.019%12 Jul
inferno13–9-0.0310%12 Jul
fachwerk13–6-0.0623%12 Jul
mirage13–40.0511%12 Jul
office13–90.0116%12 Jul
anubis13–8-0.0420%12 Jul
dust23–11-0.003%12 Jul
inferno7–130.0519%12 Jul
nuke13–80.1415%12 Jul
ancient13–9-0.034%12 Jul
office8–130.0710%11 Jul
cache2–13-0.038%11 Jul
inferno6–130.0712%11 Jul
dust213–10.1224%11 Jul
inferno12–12-0.064%11 Jul
cache0–8-0.020%11 Jul
ancient13–1-0.0412%11 Jul
office9–13-0.0436%10 Jul
dust213–60.0719%10 Jul
anubis12–12-0.007%10 Jul
cache6–13-0.0314%10 Jul
inferno13–90.0911%10 Jul
office3–13-0.079%10 Jul
mirage13–6-0.0411%9 Jul

Match data via Leetify.

Recent teammates

Milestones

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