Elite Cub

Elite Cub — CS2 Stats

US76561198053375816[U:1:93110088]Steam profile ↗✓ No bans

878Tracked matches52%Win rate2020Tracked since
CSDB Rating8.0 StrongAll-Rounder
Premier CS Rating19,999Top 50% of 213,740 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85696 of 260215 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,999 +429 31 Mar – 5 Nov · 34 days played
16,16220,123peak 20,12331 Mar5 Nov
20,123Peak Premier in tracked matches
45Days played since 2026-03-31

Premier CS Rating

  • 124 below peak (20,123)
  • +3,119 over 30 days · improving
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGElite CubPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning76
Utility72

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateWLLLWTLWLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −55ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 20%
  • Avg reaction 478ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 493ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 520ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.8
Utility7.2
Positioning7.6
Opening Duels7.1

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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

device

Plays most like device 91% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

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

Aim8.8
Positioning7.6
Utility7.2
Mechanics8.9
Opening Duels8.6
Win Impact5.6

Composite 8.0/10 (Strong), 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 rating0.05−0.00
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time522ms−29ms
first ⅓ avg 552ms → last ⅓ avg 522ms
Headshot accuracy17.5%−3.9%
first ⅓ avg 21.4% → last ⅓ avg 17.5%

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

0.18Best match rating · 13–4 · cache, 8 Oct →
36%Best headshot accuracy · 13–2 · cache, 14 Sept →
398msFastest reaction time · 4–13 · cache, 12 Sept →
13–0Biggest win · mirage, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 56% over 25infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.06
cacheC198–1142%0.05
mirageB199–1047%0.05
infernoD124–833%0.06
ancientC125–742%0.03
nukeC94–544%0.06
anubis—41–325%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

18.2%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.3%Spray accuracy
90.2%Counter-strafing
8.5°Preaim
518msReaction time
58.9%T opening success
69.9%CT opening success
0.85Enemies flashed / flash
3.9%Flash assists
14.51HE damage / grenade
13.06Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.1521%5 Nov →
dust24–130.0223%5 Nov →
inferno4–130.0517%5 Nov →
cache7–130.0116%4 Nov →
dust213–70.1726%4 Nov →
dust215–150.1314%4 Nov →
ancient7–130.0522%3 Nov →
cache1–0-0.150%3 Nov →
mirage5–130.0523%2 Nov →
anubis7–130.0828%2 Nov →
ancient13–70.0126%2 Nov →
cache13–40.1314%2 Nov →
inferno5–130.017%2 Nov →
nuke13–110.1027%29 Oct →
ancient11–130.0010%29 Oct →
dust213–30.1125%28 Oct →
cache7–130.0121%28 Oct →
dust211–130.0315%28 Oct →
cache13–100.0616%27 Oct →
dust213–6-0.0423%27 Oct →
mirage11–130.0521%26 Oct →
mirage13–30.0717%23 Oct →
ancient13–80.086%23 Oct →
mirage9–130.0520%23 Oct →
ancient13–100.0718%22 Oct →
nuke13–70.0716%21 Oct →
dust213–90.0613%21 Oct →
anubis16–140.0216%20 Oct →
dust211–13-0.0214%20 Oct →
anubis7–13-0.0120%20 Oct →
cache13–110.0817%19 Oct →
dust213–50.1516%17 Oct →
inferno13–3-0.0210%17 Oct →
ancient13–60.0915%17 Oct →
cache7–130.0313%17 Oct →
mirage12–16-0.0312%16 Oct →
nuke11–130.0223%16 Oct →
inferno7–130.0914%16 Oct →
nuke16–140.1120%14 Oct →
inferno9–130.0315%14 Oct →
mirage2–13-0.0216%14 Oct →
cache13–40.1816%8 Oct →
mirage16–130.0223%7 Oct →
mirage13–00.0930%7 Oct →
cache13–80.0216%7 Oct →
inferno13–70.0724%6 Oct →
inferno10–130.0224%6 Oct →
cache5–130.0422%6 Oct →
mirage16–120.0519%5 Oct →
mirage15–150.0717%1 Oct →
nuke11–130.0620%1 Oct →
dust213–20.1224%30 Sept →
dust213–80.0516%30 Sept →
nuke9–130.0616%30 Sept →
cache14–160.0820%28 Sept →
cache3–13-0.0224%28 Sept →
ancient8–130.0116%28 Sept →
mirage11–130.0227%28 Sept →
cache11–130.0617%28 Sept →
dust26–130.0925%26 Sept →
anubis5–130.1220%26 Sept →
cache13–160.1121%26 Sept →
inferno13–50.1412%25 Sept →
inferno16–140.1321%25 Sept →
nuke13–110.1016%24 Sept →
nuke12–160.0010%24 Sept →
nuke11–130.0117%24 Sept →
ancient2–130.0318%23 Sept →
inferno6–130.0435%16 Sept →
dust213–90.1320%16 Sept →
mirage5–130.0927%16 Sept →
mirage16–130.1223%14 Sept →
cache13–20.1136%14 Sept →
dust210–130.0423%14 Sept →
inferno7–130.1220%14 Sept →
dust21–13-0.0422%14 Sept →
dust29–13-0.0113%13 Sept →
cache9–130.0031%12 Sept →
cache4–13-0.0328%12 Sept →
ancient12–160.0319%11 Sept →
ancient8–13-0.0021%1 Sept →
mirage3–130.0828%1 Sept →
dust213–100.0724%28 Aug →
ancient13–100.039%28 Aug →
dust213–100.0827%27 Aug →
dust216–140.0821%27 Aug →
mirage13–50.1019%26 Aug →
ancient9–13-0.046%26 Aug →
dust213–70.1318%26 Aug →
dust210–130.0226%24 Aug →
cache13–90.0720%21 Aug →
cache10–130.1319%31 Jul →
dust28–130.1024%31 Jul →
mirage3–13-0.0219%16 Apr →
mirage13–80.1115%13 Apr →
dust213–110.0522%9 Apr →
dust210–13-0.0324%9 Apr →
inferno8–130.0812%8 Apr →
mirage13–40.0721%1 Apr →
mirage13–4-0.0218%31 Mar →

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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