boX

boX — CS2 Stats

PRORetiredBelarusCoachSettings & gear profile →

BY76561198087658989[U:1:127393261]Steam profile ↗✓ No bans

1,764Tracked matches63%Win rate2020Tracked since
CSDB Rating4.6 DevelopingClutch Specialist
Premier CS Rating14,330Blue band · top ~31.9% of ranked players (population est.)
FaceitLevel 10 · 3,040 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,764 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,330 +0 14 Nov – 16 Oct · 12 days played
14,33014,330peak 14,33014 Nov16 Oct
Faceit ELO: 3,040 +0 28 Aug – 16 Oct · 11 observations
3,0403,040peak 3,04028 Aug16 Oct
14,330Peak Premier in tracked matches
3,040Highest Faceit ELO seen on CSDB
46Days played since 2023-10-31

Faceit ELO

  • At peak — 3,040
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 460 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier CS Rating

  • At peak — 14,330
  • 0 over 30 days · steady
  • Next: Purple band at 15,000 — 670 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue 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. 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.GGboXFACEITLevel 10 · 3,040 ELOSTANDINGTop 12.4% of rankedPREMIER14,330 · Blue band30 DAYS0 ELOPEAK ELO3,040csdb.gg/stats

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Performance scores

Aim80
Positioning19
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY63–37Last 10063%Win rateLLLWWLLWWW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +4.9pp headshot accuracy · +145ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 473ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 301ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 8%
  • Avg reaction 229ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.4 against its own average).

Aim8.0
Utility1.1
Positioning1.9
Opening Duels0.0
Clutch4.2

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

ropz

Plays most like ropz 72% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 61 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 26% on CT to 6% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning1.9
Utility1.1
Mechanics6.3
Opening Duels0.0
Win Impact9.4

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time294ms−294ms
first ⅓ avg 589ms → last ⅓ avg 294ms
Headshot accuracy10.5%−11.1%
first ⅓ avg 21.6% → last ⅓ avg 10.5%

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

0.15Best match rating · 13–5 · inferno, 23 Dec →
41%Best headshot accuracy · 6–13 · mirage, 11 Jan →
375msFastest reaction time · 9–13 · mirage, 3 Jan →
13–0Biggest win · vertigo, 4 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
12–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

vertigoBest map · 88% over 8mirageWeakest map · 47% over 17
MapGradePlayedRecordWin rateAvg rating
ancientA2516–964%0.00
anubisA2214–864%0.02
mirageB178–947%-0.01
infernoB137–654%0.03
nukeS97–278%0.02
vertigoS87–188%0.01
overpass—44–0100%0.05
dust2—20–20%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,383Matches
62%Win rate
1.29Avg K/D
84.9ADR
42%Headshot %

Clutches & streaks

41%1v1 clutch win
20%1v2 clutch win
23Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6949%1.1816.6
Anubis6459%1.1716.7
Ancient5153%1.0115.2
Dust24356%1.3017.6
Inferno4255%1.1617.1
Overpass2085%1.5820.9
Nuke1471%1.3418.1
Vertigo1090%1.7514.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$301Inventory value48ItemsFull inventory breakdown →
★ Navaja Knife | Damascus Steel (Field-Tested)$64AWP | Printstream (Well-Worn)$64AWP | Electric Hive (Minimal Wear)$46Lt. Commander Ricksaw | NSWC SEAL$31Glock-18 | Snack Attack (Field-Tested)$23AWP | Elite Build (Battle-Scarred)$17

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.2%Headshot accuracy
20.3%Accuracy (enemy spotted)
42.8%Spray accuracy
78.5%Counter-strafing
5.9°Preaim
295msReaction time
6.5%T opening success
26.0%CT opening success
0.32Enemies flashed / flash
3.9%Flash assists
5.82HE damage / grenade
7.72Flashes / 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 11.1997% — 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 0.3168 — 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 6.4861% — 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.

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0323%3 Nov →
dust210–130.0013%15 Aug →
mirage11–130.0325%2 May →
anubis13–90.0127%13 Apr →
mirage13–80.000%10 Mar →
anubis6–13-0.0420%7 Mar →
nuke6–130.000%5 Mar →
inferno13–90.000%5 Mar →
nuke13–110.000%4 Mar →
vertigo13–50.000%4 Mar →
ancient13–60.000%4 Mar →
ancient13–50.000%4 Mar →
vertigo13–00.000%4 Mar →
inferno11–130.000%2 Mar →
nuke13–50.000%2 Mar →
ancient13–10.000%2 Mar →
ancient13–10.000%2 Mar →
ancient2–13-0.0821%1 Mar →
anubis13–110.0525%1 Mar →
mirage13–80.0213%1 Mar →
nuke5–13-0.0627%1 Mar →
ancient7–13-0.0516%29 Feb →
vertigo12–10.0213%29 Feb →
anubis13–4-0.0317%29 Feb →
anubis5–130.000%26 Feb →
nuke13–20.000%26 Feb →
ancient13–30.000%26 Feb →
mirage16–13-0.0117%26 Feb →
ancient6–130.0223%26 Feb →
anubis19–170.0626%26 Feb →
nuke13–60.0721%22 Feb →
vertigo13–11-0.0120%22 Feb →
nuke13–20.000%21 Feb →
inferno11–130.0728%20 Feb →
ancient16–120.1025%20 Feb →
anubis22–180.000%20 Feb →
ancient13–90.0522%20 Feb →
vertigo13–50.000%19 Feb →
vertigo13–100.000%19 Feb →
anubis12–160.000%18 Feb →
ancient13–110.000%13 Feb →
ancient13–40.000%12 Feb →
ancient16–140.000%12 Feb →
anubis10–13-0.0221%9 Feb →
ancient9–130.0627%9 Feb →
anubis13–90.000%5 Feb →
ancient13–50.000%4 Feb →
ancient3–130.000%1 Feb →
inferno10–130.0525%16 Jan →
nuke13–50.0618%16 Jan →
anubis2–13-0.0911%15 Jan →
ancient13–70.0224%15 Jan →
mirage13–11-0.0021%15 Jan →
anubis13–90.0528%15 Jan →
inferno12–16-0.0517%14 Jan →
anubis13–60.0923%14 Jan →
ancient9–13-0.0324%14 Jan →
mirage11–130.0421%13 Jan →
ancient13–90.0621%13 Jan →
mirage13–8-0.0226%12 Jan →
mirage6–13-0.0741%11 Jan →
anubis19–160.0318%11 Jan →
overpass16–13-0.0218%3 Jan →
mirage9–13-0.0822%3 Jan →
inferno13–11-0.0225%30 Dec →
ancient13–80.0720%30 Dec →
anubis13–110.0629%26 Dec →
nuke13–110.0917%26 Dec →
inferno13–50.1516%23 Dec →
ancient9–13-0.0212%23 Dec →
vertigo10–13-0.0322%21 Dec →
anubis13–50.0920%20 Dec →
inferno13–10.0540%20 Dec →
ancient13–70.0617%20 Dec →
ancient7–13-0.0630%15 Dec →
mirage13–80.0235%15 Dec →
mirage10–130.0124%8 Dec →
mirage13–50.0725%8 Dec →
anubis4–13-0.0726%4 Dec →
inferno13–100.0126%4 Dec →
inferno13–80.0421%19 Nov →
mirage8–13-0.1029%19 Nov →
overpass16–120.0617%14 Nov →
ancient13–11-0.0918%11 Nov →
vertigo13–60.0612%11 Nov →
ancient8–13-0.0026%5 Nov →
mirage5–13-0.089%5 Nov →
anubis7–13-0.0426%5 Nov →
mirage3–130.0011%4 Nov →
anubis13–80.0318%4 Nov →
inferno12–90.0517%2 Nov →
overpass19–160.0828%2 Nov →
mirage13–110.0219%2 Nov →
anubis13–60.0223%2 Nov →
inferno9–130.0129%2 Nov →
inferno8–13-0.0114%2 Nov →
anubis13–80.1424%1 Nov →
overpass13–40.0720%1 Nov →
anubis8–130.0421%1 Nov →
mirage11–13-0.0222%31 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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