orbital

orbital — CS2 Stats

TR76561197969399230[U:1:9133502]Steam profile ↗✓ No bans

4,832Tracked matches52%Win rate2020Tracked since
8,347Hours in CS19Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 4,832
+0.2ppWin rate · 51.8% → 52.0%

Rating over time

30Days played since 2026-07-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches6——
Win rate67%——
K/D1.11——
Headshot %57%——

Measured 26 Oct 2026 → 1 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate55.7%50.9%
Shot accuracy9.8%13.7%
Kill/death ratio1.111.09
Match win rate55.0%48.4%

Share this profile

CSDB.GGorbitalFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim44
Positioning55
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY51–38–11Last 10051%Win rateWWLTWTLWTL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +4.2pp headshot accuracy · −73ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 578ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 557ms

Last 20

  • 9–6–5 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 594ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim4.4
Utility7.6
Positioning5.5
Opening Duels3.0
Clutch4.0

Effective flashesHigh utility contribution

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 59% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 601ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.4
Positioning5.5
Utility7.6
Mechanics3.8
Opening Duels3.5
Win Impact5.7

Composite 5.1/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time595ms−17ms
first ⅓ avg 612ms → last ⅓ avg 595ms
Headshot accuracy23.3%−0.1%
first ⅓ avg 23.4% → last ⅓ avg 23.3%

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

0.10Best match rating · 13–9 · ancient, 16 Aug →
50%Best headshot accuracy · 4–3 · inferno, 13 Sept →
375msFastest reaction time · 13–4 · anubis, 25 Oct →
13–0Biggest win · cache, 25 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
5–10In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.02
cacheB2412–1250%-0.03
infernoA2012–860%-0.01
ancientB126–650%0.00
anubisS75–271%-0.02
mirageC73–443%-0.00
nuke—20–20%-0.01
train—21–150%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,137Lifetime kills
1.11K/D · Top 50% of Level 10 players
6,059Matches
55.0%Match win rate · Top 10% of Level 10 players
55.7%Headshot % · Top 50% of Level 10 players
9.8%Shot accuracy
16,361MVPs
3,965Hours (in match)
5,763Bombs planted
1,082Bombs defused

Most-used weapons

AK-4766,149
AWP8,202
MP94,425
MAC-103,829
FAMAS2,811

Lifetime map wins

21,048dust2
14,416inferno
3,125vertigo
3,101nuke
2,084train
168cbble
100aztec
100dust

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

Faceit stats

Combat

950Matches
53%Win rate
1.13Avg K/D
82.8ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust21850%0.9016.0
Mirage1656%1.2417.9
Anubis1644%1.2317.1
Ancient1553%0.8916.9
Inferno1457%1.1818.1
Overpass560%1.2821.2
Nuke333%1.0716.3
Vertigo2100%1.4419.0

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.

23.0%Headshot accuracy
31.1%Accuracy (enemy spotted)
28.3%Spray accuracy
66.9%Counter-strafing
12.4°Preaim
601msReaction time
42.5%T opening success
45.2%CT opening success
0.71Enemies flashed / flash
8.5%Flash assists
9.07HE damage / grenade
15.76Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3628° — above the 12° mark we flag

    Aim Training →
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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0333%29 Oct →
ancient13–80.0821%29 Oct →
dust210–13-0.0317%29 Oct →
nuke5–50.0133%29 Oct →
inferno13–20.1027%29 Oct →
cache12–12-0.0326%29 Oct →
inferno6–13-0.0124%25 Oct →
anubis13–4-0.0211%25 Oct →
mirage12–12-0.0022%25 Oct →
cache10–13-0.0131%25 Oct →
dust213–110.0235%25 Oct →
cache11–13-0.0615%24 Oct →
mirage13–90.0216%24 Oct →
anubis13–6-0.059%23 Oct →
inferno6–13-0.0422%23 Oct →
mirage13–5-0.0317%23 Oct →
dust212–12-0.0622%22 Oct →
train13–5-0.0228%21 Oct →
ancient2–13-0.0421%21 Oct →
cache12–120.0117%21 Oct →
inferno13–90.0019%20 Oct →
dust23–13-0.0521%20 Oct →
anubis6–130.0127%20 Oct →
cache11–13-0.0332%20 Oct →
dust213–80.0025%20 Oct →
ancient13–7-0.0326%20 Oct →
inferno13–7-0.0523%20 Oct →
ancient9–13-0.0126%12 Oct →
dust24–13-0.0429%11 Oct →
train6–13-0.0217%11 Oct →
dust213–60.0628%11 Oct →
inferno6–13-0.0120%11 Oct →
cache13–11-0.0127%11 Oct →
dust213–4-0.0229%11 Oct →
anubis13–110.008%11 Oct →
mirage3–13-0.0320%11 Oct →
ancient12–12-0.0222%11 Oct →
inferno13–100.0017%11 Oct →
dust211–13-0.0318%11 Oct →
cache13–90.0527%11 Oct →
inferno13–50.0435%6 Oct →
cache11–130.0020%6 Oct →
dust211–130.0135%6 Oct →
inferno12–12-0.0217%4 Oct →
mirage13–110.0225%4 Oct →
dust211–13-0.0235%4 Oct →
nuke9–13-0.0429%4 Oct →
cache12–12-0.0213%28 Sept →
mirage11–130.0115%28 Sept →
dust26–13-0.0814%28 Sept →
dust213–5-0.0124%27 Sept →
ancient13–50.0130%27 Sept →
inferno10–13-0.0515%27 Sept →
cache13–9-0.0520%27 Sept →
dust212–12-0.0320%21 Sept →
dust211–13-0.0628%20 Sept →
inferno7–13-0.0532%20 Sept →
ancient13–3-0.0031%20 Sept →
cache12–12-0.0720%17 Sept →
inferno10–13-0.0725%14 Sept →
anubis10–13-0.0527%14 Sept →
anubis13–50.0122%13 Sept →
cache5–1-0.0511%13 Sept →
dust213–6-0.0129%13 Sept →
ancient12–12-0.0320%13 Sept →
inferno4–3-0.0550%13 Sept →
dust213–10.0219%13 Sept →
cache13–2-0.0431%13 Sept →
cache1–10-0.100%10 Sept →
inferno13–9-0.0132%8 Sept →
cache13–30.0123%8 Sept →
dust213–50.0642%8 Sept →
mirage11–130.0024%7 Sept →
dust211–13-0.0818%7 Sept →
anubis13–10-0.0431%28 Aug →
dust213–3-0.0140%28 Aug →
ancient13–4-0.0532%28 Aug →
cache13–0-0.0126%25 Aug →
inferno13–50.0112%25 Aug →
dust210–13-0.0239%25 Aug →
cache13–20.0036%16 Aug →
ancient13–90.1016%16 Aug →
dust213–80.0718%16 Aug →
inferno13–4-0.0221%16 Aug →
cache7–4-0.0214%16 Aug →
dust213–50.0217%17 Jul →
ancient2–13-0.0131%17 Jul →
inferno7–13-0.0329%15 Jul →
cache13–70.0121%14 Jul →
dust25–130.0320%13 Jul →
cache13–6-0.0415%13 Jul →
inferno13–40.0219%13 Jul →
cache6–13-0.0516%11 Jul →
inferno13–7-0.0424%11 Jul →
ancient3–130.0216%11 Jul →
cache1–13-0.120%11 Jul →
dust24–13-0.1331%11 Jul →
cache13–8-0.0122%4 Jul →
cache0–13-0.1033%4 Jul →
dust213–10-0.0721%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.