Carter Royal

Carter Royal — CS2 Stats

VN76561199845392622[U:1:1885126894]Steam profile ↗✓ No bans

145Tracked matches59%Win rate2025Tracked since
246Hours in CS0Hrs last 2 wks
CSDB Rating3.3 LearningPositional Player
Premier CS Rating1,331Grey band · top ~94.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (66 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 145 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 1,331 -1,941 6 Nov – 10 Sept · 16 days played
1,2183,272peak 3,2726 Nov10 Sept
3,460Peak Premier in tracked matches
34Days played since 2025-11-06

Premier CS Rating

  • 1,941 below peak (3,272)
  • Next: Light Blue band at 5,000 — 3,669 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=4,140), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate44.6%38.3%40.0%above
Shot accuracy0.0%3.6%6.9%6.9% short
Kill/death ratio0.710.830.920.21 short
Match win rate40.5%40.2%42.3%1.9% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCarter RoyalPREMIER1,331 · Grey bandcsdb.gg/stats

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Performance scores

Aim45
Positioning41
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWLWWTWLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −4.6pp headshot accuracy · −19ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 711ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 647ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 656ms

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 (+1.6 against its own average).

Aim4.5
Utility0.7
Positioning4.1
Opening Duels2.6

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

s1mple

Plays most like s1mple 87% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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.

Reaction time. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim4.5
Positioning4.1
Utility0.7
Mechanics2.7
Opening Duels2.2
Win Impact8.1

Composite 3.3/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time656ms−33ms
first ⅓ avg 689ms → last ⅓ avg 656ms
Headshot accuracy19.6%+3.2%
first ⅓ avg 16.4% → last ⅓ avg 19.6%

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

0.13Best match rating · 13–4 · dust2, 25 Jan →
46%Best headshot accuracy · 5–13 · nuke, 17 Apr →
391msFastest reaction time · 0–11 · inferno, 17 Apr →
13–1Biggest win · dust2, 18 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
4–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 50% over 20ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%-0.01
nukeB209–1145%-0.03
infernoB2010–1050%-0.02
dust2B178–947%-0.00
ancientD123–925%-0.02
train—21–150%0.04
anubis—10–10%-0.00
overpass—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,233Lifetime kills
0.71K/D
309Matches
40.5%Match win rate · Top 50% of Grey band
44.6%Headshot % · Top 25% of Grey band
0.0%Shot accuracy
534MVPs
114Hours (in match)
341Bombs planted
57Bombs defused

Most-used weapons

Lifetime map wins

588inferno
583nuke
476dust2
166train
19vertigo

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

Skill profile

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

19.3%Headshot accuracy
31.7%Accuracy (enemy spotted)
37.4%Spray accuracy
62.1%Counter-strafing
10.6°Preaim
647msReaction time
34.8%T opening success
42.9%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
8.01HE damage / grenade
0.19Flashes / 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 0.0706 — 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 34.8325% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.130%18 Apr →
dust213–1-0.0216%18 Apr →
nuke5–13-0.0346%17 Apr →
mirage13–60.1224%17 Apr →
inferno6–30.0115%17 Apr →
dust212–12-0.0121%17 Apr →
mirage13–100.0122%17 Apr →
inferno0–11-0.050%17 Apr →
dust23–13-0.1035%17 Apr →
mirage3–13-0.0621%16 Apr →
nuke13–7-0.0415%16 Apr →
inferno10–2-0.0025%16 Apr →
mirage12–12-0.0118%16 Apr →
nuke13–40.0341%16 Apr →
dust213–10.0126%16 Apr →
inferno1–50.0536%15 Apr →
nuke12–120.0617%15 Apr →
dust213–60.0122%15 Apr →
nuke4–13-0.1027%14 Apr →
dust213–110.0218%14 Apr →
inferno4–13-0.0413%14 Apr →
ancient6–120.0019%13 Apr →
mirage9–13-0.0021%13 Apr →
mirage13–5-0.037%13 Apr →
dust29–13-0.0718%13 Apr →
inferno13–20.0427%12 Apr →
mirage13–11-0.0414%12 Apr →
nuke13–7-0.0411%12 Apr →
mirage11–13-0.0619%11 Apr →
inferno13–9-0.0014%11 Apr →
dust28–13-0.0415%11 Apr →
inferno13–6-0.1013%11 Apr →
mirage4–13-0.0611%11 Apr →
ancient1–9-0.1133%10 Apr →
nuke8–13-0.0618%10 Apr →
inferno13–8-0.054%10 Apr →
inferno13–6-0.0326%9 Apr →
mirage8–13-0.0126%9 Apr →
mirage13–6-0.0324%9 Apr →
ancient13–6-0.037%9 Apr →
nuke7–130.0226%8 Apr →
mirage7–13-0.0230%8 Apr →
ancient12–12-0.0321%8 Apr →
inferno13–100.0127%8 Apr →
mirage7–13-0.0613%8 Apr →
mirage13–110.0111%7 Apr →
nuke13–5-0.0812%7 Apr →
inferno13–80.0112%7 Apr →
mirage12–12-0.079%7 Apr →
mirage13–80.0714%7 Apr →
ancient8–13-0.1113%6 Apr →
mirage2–13-0.0322%6 Apr →
inferno10–13-0.0021%6 Apr →
ancient10–130.0217%6 Apr →
mirage13–90.0324%6 Apr →
mirage13–11-0.0213%6 Apr →
inferno13–70.039%6 Apr →
nuke13–4-0.0429%6 Apr →
nuke13–4-0.0221%6 Apr →
ancient13–20.017%6 Apr →
ancient10–130.0425%5 Apr →
inferno5–13-0.0124%5 Apr →
mirage1–13-0.1017%5 Apr →
mirage13–10-0.0315%5 Apr →
inferno4–13-0.0413%5 Apr →
mirage13–9-0.0319%5 Apr →
ancient13–60.0123%23 Feb →
ancient11–130.0524%21 Feb →
dust213–30.0440%21 Feb →
dust28–20.0521%21 Feb →
nuke7–13-0.090%14 Feb →
dust22–60.0220%3 Feb →
nuke4–130.0821%2 Feb →
nuke12–16-0.0125%1 Feb →
inferno5–13-0.0426%26 Jan →
dust210–130.0517%26 Jan →
dust213–20.0416%26 Jan →
mirage13–50.0217%26 Jan →
dust214–16-0.0117%25 Jan →
dust213–40.1316%25 Jan →
inferno13–16-0.0211%24 Jan →
anubis6–13-0.0017%24 Jan →
overpass9–130.019%6 Dec →
ancient6–13-0.048%5 Dec →
nuke15–15-0.0312%5 Dec →
mirage9–13-0.008%4 Dec →
dust28–13-0.1123%2 Dec →
dust24–13-0.1023%30 Nov →
train10–130.0012%30 Nov →
nuke13–3-0.018%30 Nov →
train13–60.0821%30 Nov →
inferno7–13-0.0414%27 Nov →
nuke7–00.036%27 Nov →
mirage10–130.0614%20 Nov →
inferno11–13-0.059%18 Nov →
mirage4–13-0.0525%8 Nov →
mirage13–5-0.0123%8 Nov →
nuke2–13-0.0617%8 Nov →
ancient10–13-0.0510%7 Nov →
nuke3–13-0.1014%6 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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