Rubber Toe Carlos

Rubber Toe Carlos — CS2 Stats

76561198125763204[U:1:165497476]Steam profile ↗✓ No bans

741Tracked matches63%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating18,230Purple band · top ~15.5% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,230 → 18,230
+1Tracked matches · now 741
0.0ppWin rate · 63.3% → 63.3%

Rating over time

Premier CS Rating: 18,230 +206 1 Jul – 25 Sept · 11 days played
17,78319,441peak 19,4411 Jul25 Sept
19,441Peak Premier in tracked matches
48Days played since 2026-07-01

Premier CS Rating

  • 1,211 below peak (19,441)
  • 0 over 30 days · steady
  • +206 over 90 days
  • Next: Pink band at 20,000 — 1,770 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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

Share this profile

CSDB.GGRubber Toe CarlosFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,230 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWWLWLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +4.6pp headshot accuracy · −91ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 488ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 498ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

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 (+1.4 against its own average).

Aim8.2
Utility4.7
Positioning5.0
Opening Duels0.1
Clutch4.8

Excellent counter-strafing

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 32 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.

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

Aim8.2
Positioning5.0
Utility4.7
Mechanics8.5
Opening Duels0.9
Win Impact9.4

Composite 6.5/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time535ms−49ms
first ⅓ avg 584ms → last ⅓ avg 535ms
Headshot accuracy19.0%+2.1%
first ⅓ avg 16.9% → last ⅓ avg 19.0%

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

0.22Best match rating · 13–6 · office, 9 Jul →
44%Best headshot accuracy · 13–1 · ancient, 12 Sept →
359msFastest reaction time · 13–1 · ancient, 12 Sept →
13–1Biggest win · ancient, 12 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–12In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 80% over 10dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
anubisS2215–768%0.01
infernoC219–1243%-0.01
cacheA149–564%0.01
ancientA116–555%0.00
nukeS108–280%0.00
dust2D92–722%-0.00
mirageA95–456%0.02
office—31–233%0.06
vertigo—10–10%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

547Matches
49%Win rate
1.11Avg K/D
77.3ADR
46%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis12160%1.1317.4
Inferno10252%1.1316.1
Mirage6938%0.9914.5
Cache6554%1.1415.6
Dust26244%1.0615.6
Ancient5836%1.0515.7
Nuke3951%1.1717.7
Vertigo650%1.0815.3

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.

19.2%Headshot accuracy
36.1%Accuracy (enemy spotted)
39.1%Spray accuracy
88.2%Counter-strafing
10.1°Preaim
540msReaction time
22.7%T opening success
37.3%CT opening success
0.53Enemies flashed / flash
2.4%Flash assists
8.29HE damage / grenade
7.10Flashes / 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

    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 22.6555% — below the 40% mark we flag

Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–3-0.0225%15 Sept →
cache13–100.0323%15 Sept →
ancient6–13-0.0216%12 Sept →
ancient13–10.0344%12 Sept →
ancient10–13-0.0416%6 Sept →
cache13–3-0.0321%1 Sept →
inferno7–13-0.0125%1 Sept →
inferno13–9-0.0517%31 Aug →
cache11–13-0.0210%29 Aug →
anubis13–60.0921%28 Aug →
inferno16–140.0516%26 Aug →
ancient5–130.059%25 Aug →
inferno11–130.0323%25 Aug →
nuke13–5-0.0213%25 Aug →
dust213–11-0.0512%25 Aug →
dust26–13-0.0613%25 Aug →
cache13–10.0424%23 Aug →
inferno16–14-0.0429%23 Aug →
inferno5–13-0.1019%23 Aug →
anubis13–90.0617%21 Aug →
nuke13–90.0713%21 Aug →
cache13–7-0.0121%21 Aug →
mirage13–7-0.0131%20 Aug →
mirage13–7-0.0115%20 Aug →
anubis4–13-0.0611%20 Aug →
inferno13–100.0323%20 Aug →
anubis13–2-0.0512%19 Aug →
inferno7–130.0433%18 Aug →
mirage6–130.0422%18 Aug →
nuke13–8-0.109%17 Aug →
anubis13–9-0.026%17 Aug →
inferno11–13-0.0024%14 Aug →
anubis3–13-0.0514%13 Aug →
mirage19–160.0716%13 Aug →
anubis10–130.0414%13 Aug →
anubis16–130.0221%12 Aug →
inferno5–13-0.0526%9 Aug →
anubis13–80.0230%8 Aug →
cache13–6-0.0229%8 Aug →
ancient16–120.0614%8 Aug →
nuke6–130.0620%8 Aug →
dust28–130.0413%7 Aug →
cache13–90.0018%6 Aug →
inferno13–60.0514%6 Aug →
anubis13–20.0318%6 Aug →
anubis16–12-0.0120%6 Aug →
vertigo14–16-0.105%6 Aug →
anubis13–90.1523%5 Aug →
mirage7–13-0.0028%3 Aug →
ancient13–9-0.057%2 Aug →
nuke14–160.0217%1 Aug →
cache13–100.0411%28 Jul →
anubis14–16-0.0312%28 Jul →
nuke16–140.0015%27 Jul →
anubis13–9-0.0311%26 Jul →
inferno13–60.0313%26 Jul →
nuke13–80.0223%26 Jul →
nuke22–190.0316%25 Jul →
cache19–220.0316%25 Jul →
inferno4–13-0.0420%23 Jul →
cache9–130.0218%23 Jul →
ancient13–10-0.0221%22 Jul →
inferno11–13-0.0117%22 Jul →
anubis17–190.0117%22 Jul →
cache11–130.0217%20 Jul →
nuke13–7-0.0316%19 Jul →
inferno13–3-0.0132%19 Jul →
ancient13–100.0923%18 Jul →
anubis3–130.049%18 Jul →
inferno0–6-0.110%18 Jul →
anubis3–13-0.0738%18 Jul →
anubis13–30.0518%17 Jul →
cache13–60.0228%17 Jul →
cache13–6-0.0311%17 Jul →
dust26–13-0.0520%16 Jul →
dust21–120.0223%14 Jul →
inferno11–130.0728%14 Jul →
cache11–130.0216%13 Jul →
inferno13–9-0.0121%13 Jul →
inferno9–13-0.089%12 Jul →
mirage13–30.097%12 Jul →
anubis13–10-0.0113%12 Jul →
dust213–30.1225%11 Jul →
anubis16–130.0712%10 Jul →
office12–12-0.0124%9 Jul →
office13–60.2220%9 Jul →
office12–12-0.0316%9 Jul →
dust26–130.0223%5 Jul →
anubis13–80.0318%5 Jul →
ancient13–6-0.0116%5 Jul →
dust22–13-0.119%4 Jul →
ancient4–13-0.064%4 Jul →
mirage16–140.0313%4 Jul →
mirage15–15-0.0015%3 Jul →
inferno13–70.0323%3 Jul →
dust28–130.0318%2 Jul →
mirage10–13-0.0310%2 Jul →
ancient14–16-0.0015%1 Jul →
anubis13–60.0423%1 Jul →
inferno8–13-0.0612%1 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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