Carter Royal

Carter Royal — CS2 Stats

US76561199845392622[U:1:1885126894]Steam profile ↗

145Tracked matches59%Win rate2025Tracked since
113Hours in CS
CSDB Rating3.3 Learning
Premier CS Rating1,331Grey band · top ~94.4% of ranked players (population est.)
CSDB Leaderboard#32978 of 42040 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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%37.5%39.7%above
Shot accuracy0.0%4.5%6.7%6.7% short
Kill/death ratio0.710.820.910.20 short
Match win rate40.5%39.1%42.1%1.7% 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.

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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

STEADY44506Last 10044%Win rateWWLWWTWLLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim4.5
Aggression6.9
Utility0.7
Positioning4.1
Opening Duels2.2

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

ropz

Plays most like ropz 72% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

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.

Highlights

0.13Best rating — dust2 13–4
131Biggest win — dust2
6Longest win streak
W2Current streak
44In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 50% over 20ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%-0.01
nukeB2091145%-0.03
infernoB20101050%-0.02
dust2B178947%-0.00
ancientD123925%-0.02
train21150%0.04
anubis1010%-0.00
overpass1010%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
113Hours (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 & strategyAncient 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 →