boxxy

boxxy — CS2 Stats

US76561198125102885[U:1:164837157]Steam profile ↗✓ No bans

1,447Tracked matches43%Win rate2020Tracked since
4,696Hours in CS33Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,247), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate30.7%42.7%43.7%13.1% short
Shot accuracy12.4%11.3%12.0%above
Kill/death ratio0.890.991.020.13 short
Match win rate37.4%43.9%44.7%7.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGboxxyFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning64
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLLLLWWWLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +3.4pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 613ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 618ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 622ms

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 (+2.6 against its own average).

Aim6.8
Utility5.2
Positioning6.4
Opening Duels2.7
Clutch0.8

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 621ms 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

Aim6.8
Positioning6.4
Utility5.2
Mechanics6.7
Opening Duels4.2
Win Impact2.6

Composite 5.8/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time613ms−118ms
first ⅓ avg 731ms → last ⅓ avg 613ms
Headshot accuracy23.6%−4.6%
first ⅓ avg 28.2% → last ⅓ avg 23.6%

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.

Personal bests

0.18Best match rating · 13–2 · nuke, 10 Oct →
100%Best headshot accuracy · 0–5 · train, 18 Dec →
438msFastest reaction time · 3–13 · train, 10 Oct →
13–0Biggest win · cache, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 63% over 8cacheWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC3214–1844%0.02
mirageC187–1139%-0.02
anubisB115–645%0.00
cacheD102–820%0.02
ancientA85–363%0.01
train—41–325%-0.03
inferno—42–250%-0.02
dust2—41–325%-0.02
vertigo—42–250%0.01
shelter—22–0100%-0.01
office—21–150%-0.02
overpass—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

122,202Lifetime kills
0.89K/D
5,533Matches
37.4%Match win rate
30.7%Headshot %
12.4%Shot accuracy · Top 50% of Level 4 players
7,972MVPs
2,283Hours (in match)
4,303Bombs planted
1,080Bombs defused

Most-used weapons

AK-4726,344
AWP12,597
SSG 082,624
P2501,758
Knife1,398

Lifetime map wins

6,693dust2
4,143nuke
3,997inferno
1,115train
660cbble
592vertigo
181office
62dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

172Matches
51%Win rate
0.98Avg K/D
70.8ADR
51%Headshot %

Clutches & streaks

24%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis3543%0.9515.5
Dust23355%0.9213.1
Mirage2744%0.8914.1
Nuke2250%0.9414.3
Inferno1650%0.7812.3
Ancient1354%0.7411.9
Train2100%0.7311.0
Vertigo250%1.5819.0

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.

24.1%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.5%Spray accuracy
80.1%Counter-strafing
11.1°Preaim
621msReaction time
51.6%T opening success
42.3%CT opening success
0.57Enemies flashed / flash
15.7%Flash assists
7.43HE damage / grenade
4.08Flashes / match

Recommended for you

Spend your practice time on Cache

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0023%10 Oct →
anubis6–13-0.0633%10 Oct →
train3–13-0.0826%10 Oct →
train11–13-0.0217%10 Oct →
cache13–70.0420%10 Oct →
train13–100.0223%10 Oct →
nuke13–20.1834%10 Oct →
nuke6–130.0226%10 Oct →
anubis13–80.0820%10 Oct →
nuke10–130.0437%4 Oct →
nuke13–50.0419%4 Oct →
ancient13–30.0023%1 Oct →
anubis6–13-0.0215%1 Oct →
mirage3–13-0.0117%1 Oct →
inferno13–2-0.0629%1 Oct →
cache7–130.0529%1 Oct →
nuke12–120.0824%1 Oct →
nuke4–13-0.0415%1 Oct →
mirage13–11-0.0126%30 Sept →
nuke12–30.0229%30 Sept →
nuke5–13-0.0834%30 Sept →
anubis13–9-0.0320%30 Sept →
anubis16–14-0.0127%30 Sept →
dust25–7-0.0318%30 Sept →
ancient13–60.0725%30 Sept →
mirage7–13-0.0216%30 Sept →
nuke11–130.0728%30 Sept →
nuke11–130.0333%30 Sept →
cache12–120.0014%30 Sept →
nuke6–130.0121%30 Sept →
anubis3–130.0329%30 Sept →
ancient2–13-0.0313%30 Sept →
cache13–00.0717%30 Sept →
nuke10–130.0423%30 Sept →
mirage5–13-0.0823%30 Sept →
cache7–13-0.0326%29 Sept →
nuke13–110.0223%29 Sept →
inferno12–12-0.0236%29 Sept →
cache12–120.0427%29 Sept →
mirage12–120.0019%29 Sept →
nuke13–110.0117%29 Sept →
cache2–130.1231%29 Sept →
dust213–80.0717%29 Sept →
anubis7–130.0714%29 Sept →
mirage8–130.029%25 Sept →
cache7–130.0330%25 Sept →
vertigo1–130.0214%25 Sept →
nuke3–13-0.0350%25 Sept →
nuke1–10-0.1211%15 Sept →
mirage7–13-0.0324%15 Sept →
nuke11–130.0338%27 Jul →
shelter13–4-0.0543%26 Jul →
nuke13–80.0124%10 Jul →
shelter13–100.0224%10 Jul →
nuke9–13-0.0529%28 May →
cache5–13-0.0417%28 May →
cache9–13-0.0310%7 May →
anubis11–13-0.0327%7 May →
mirage13–5-0.0235%29 Dec →
vertigo13–40.0336%23 Dec →
mirage13–7-0.0213%23 Dec →
ancient6–13-0.0129%22 Dec →
inferno13–60.0728%21 Dec →
ancient13–5-0.0521%21 Dec →
vertigo5–13-0.0319%20 Dec →
nuke13–80.0328%18 Dec →
ancient13–60.0630%18 Dec →
train0–5-0.04100%18 Dec →
mirage13–20.0130%18 Dec →
mirage11–130.0128%1 Nov →
office0–13-0.0236%1 Nov →
nuke4–130.0318%1 Nov →
nuke3–13-0.0025%1 Nov →
office13–8-0.0336%1 Nov →
inferno9–13-0.0614%24 Oct →
mirage10–13-0.0729%24 Oct →
dust210–13-0.0728%9 Oct →
mirage16–14-0.0118%9 Oct →
dust213–16-0.0520%9 Oct →
ancient16–13-0.0117%9 Oct →
nuke13–7-0.0131%8 Oct →
mirage1–6-0.0828%8 Oct →
nuke13–6-0.0521%8 Oct →
mirage13–2-0.0130%8 Oct →
overpass13–5-0.0415%21 Sept →
mirage10–13-0.0017%10 Sept →
nuke13–10-0.0538%10 Jun →
ancient6–130.0220%10 Jun →
mirage13–90.0526%10 Jun →
nuke8–10.0325%10 Jun →
nuke11–130.0625%10 Jun →
anubis9–13-0.0714%10 Jun →
nuke12–120.0122%10 Jun →
nuke4–00.0367%9 Jun →
nuke13–40.1126%9 Jun →
mirage11–13-0.0213%9 Jun →
nuke13–60.0820%9 Jun →
anubis13–30.0239%9 Jun →
vertigo13–110.0326%9 Jun →
anubis13–50.0128%9 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.