☭fidgy #USA HANDS OFF Cuba

☭fidgy #USA HANDS OFF Cuba — CS2 Stats

DE76561198016292348[U:1:56026620]Steam profile ↗✓ No bans

1,786Tracked matches75%Win rate2020Tracked since
3,906Hours in CS11Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating21,063Top 50% of 212,910 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#69087 of 259747 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (8 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: 21,063 +2,491 5 Aug – 26 Oct · 28 days played
18,15921,186peak 21,1865 Aug26 Oct
21,290Peak Premier in tracked matches
31Days played since 2026-08-05

Premier CS Rating

  • 123 below peak (21,186)
  • -123 over 30 days · steady
  • +2,491 over 90 days
  • Next: Red band at 25,000 — 3,937 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-22
  • Purple band first seen 2026-08-28

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate49.0%46.9%49.3%meets
Shot accuracy13.7%13.0%13.4%above
Kill/death ratio0.891.081.120.24 short
Match win rate39.0%46.7%48.5%9.5% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG☭fidgy #USA HANDS OFF CubaPREMIER21,063 · Pink bandcsdb.gg/stats

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Performance scores

Aim36
Positioning47
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY50–39–11Last 10050%Win rateWLWLWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +0.3pp headshot accuracy · +55ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 653ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 656ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 628ms

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 (+3 against its own average).

Aim3.6
Utility7.3
Positioning4.7
Opening Duels0.9

Strong 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

b1t

Plays most like b1t 53% 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

Areas to improve

Reaction time. 618ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim3.6
Positioning4.7
Utility7.3
Mechanics5.2
Opening Duels1.8
Win Impact10.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time621ms−41ms
first ⅓ avg 661ms → last ⅓ avg 621ms
Headshot accuracy15.0%−3.5%
first ⅓ avg 18.5% → last ⅓ avg 15.0%

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

0.09Best match rating · 9–4 · inferno, 15 Aug →
67%Best headshot accuracy · 0–8 · dust2, 9 Aug →
477msFastest reaction time · 9–13 · inferno, 21 Aug →
13–3Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
6–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 60% over 25anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2515–1060%-0.01
dust2A2414–1058%-0.02
ancientB157–847%-0.01
cacheB147–750%-0.04
anubisD134–931%-0.05
overpass—32–167%-0.03
boulder—21–150%-0.01
vertigo—20–20%-0.06
mirage—10–10%-0.07
debris—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,002Lifetime kills
0.89K/D
4,719Matches
39.0%Match win rate
49.0%Headshot % · Top 50% of Pink band
13.7%Shot accuracy · Top 50% of Pink band
11,052MVPs
3,259Hours (in match)
4,910Bombs planted
1,204Bombs defused

Most-used weapons

AK-4729,880
AWP10,902
Tec-93,935
P2503,582
SSG 083,389

Lifetime map wins

12,358dust2
11,882inferno
1,704nuke
1,146vertigo
564train
395cbble
248safehouse
231lake

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.

15.3%Headshot accuracy
27.1%Accuracy (enemy spotted)
29.4%Spray accuracy
73.6%Counter-strafing
11.2°Preaim
618msReaction time
33.2%T opening success
41.5%CT opening success
0.70Enemies flashed / flash
6.0%Flash assists
10.06HE damage / grenade
18.39Flashes / 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 33.2288% — below the 40% mark we flag

Spend your practice time on Anubis

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.048%26 Oct →
dust25–13-0.0621%24 Oct →
inferno13–7-0.063%24 Oct →
ancient14–16-0.0714%24 Oct →
anubis13–11-0.069%23 Oct →
inferno7–130.0110%23 Oct →
ancient13–11-0.0210%23 Oct →
inferno9–13-0.0322%23 Oct →
dust213–5-0.0736%22 Oct →
inferno13–9-0.0019%22 Oct →
inferno15–15-0.0115%22 Oct →
anubis15–15-0.089%18 Oct →
anubis1–13-0.0514%18 Oct →
ancient13–50.0216%16 Oct →
ancient13–90.0310%16 Oct →
cache10–13-0.0413%16 Oct →
cache13–7-0.0017%10 Oct →
dust213–100.0421%10 Oct →
boulder13–100.0115%10 Oct →
anubis11–13-0.0219%20 Sept →
ancient13–30.0210%20 Sept →
inferno13–80.0110%18 Sept →
anubis13–60.0118%18 Sept →
dust211–50.0219%17 Sept →
dust213–8-0.0312%16 Sept →
dust213–11-0.0419%16 Sept →
dust213–50.0817%11 Sept →
dust213–60.0024%11 Sept →
ancient13–80.0314%11 Sept →
inferno13–50.0723%11 Sept →
vertigo7–9-0.1511%10 Sept →
inferno15–15-0.017%7 Sept →
cache9–13-0.0311%7 Sept →
dust215–15-0.0512%6 Sept →
overpass9–60.0322%6 Sept →
inferno13–90.0714%31 Aug →
inferno9–13-0.0316%31 Aug →
anubis5–13-0.106%23 Aug →
ancient15–15-0.0421%23 Aug →
dust213–70.0317%23 Aug →
inferno11–13-0.0319%23 Aug →
inferno7–130.0017%22 Aug →
dust213–5-0.0314%22 Aug →
dust213–80.0316%22 Aug →
anubis10–13-0.0915%22 Aug →
inferno9–13-0.0710%21 Aug →
dust210–13-0.109%21 Aug →
mirage6–13-0.0730%21 Aug →
cache13–10-0.0222%21 Aug →
cache6–13-0.1313%20 Aug →
dust213–4-0.0122%20 Aug →
inferno13–9-0.0516%20 Aug →
inferno13–50.0216%20 Aug →
dust24–13-0.0317%19 Aug →
cache13–3-0.0117%19 Aug →
boulder5–13-0.0324%19 Aug →
anubis7–13-0.0832%18 Aug →
dust213–30.0129%18 Aug →
ancient8–13-0.0527%16 Aug →
anubis4–13-0.1223%16 Aug →
dust213–90.0529%16 Aug →
ancient14–16-0.0321%16 Aug →
anubis9–13-0.0320%16 Aug →
dust27–13-0.079%15 Aug →
cache11–13-0.0422%15 Aug →
ancient13–110.0113%15 Aug →
anubis13–9-0.067%15 Aug →
dust211–130.0125%15 Aug →
ancient13–4-0.0416%15 Aug →
overpass9–6-0.0612%15 Aug →
inferno9–40.0918%15 Aug →
cache9–13-0.048%15 Aug →
overpass5–9-0.0615%14 Aug →
vertigo8–80.0319%14 Aug →
inferno9–7-0.035%14 Aug →
inferno2–9-0.0720%14 Aug →
cache13–10-0.0226%10 Aug →
ancient12–120.0116%10 Aug →
inferno13–9-0.0416%9 Aug →
cache15–15-0.0411%9 Aug →
anubis10–13-0.035%9 Aug →
cache2–13-0.1233%9 Aug →
dust20–8-0.1067%9 Aug →
ancient10–13-0.0420%9 Aug →
cache13–5-0.0714%8 Aug →
dust215–15-0.0514%8 Aug →
cache13–5-0.0720%8 Aug →
debris8–8-0.086%8 Aug →
inferno9–50.0219%8 Aug →
dust213–11-0.0311%7 Aug →
ancient11–13-0.008%7 Aug →
inferno13–8-0.0813%7 Aug →
dust215–150.0222%7 Aug →
ancient6–13-0.0326%7 Aug →
inferno13–90.0123%6 Aug →
anubis13–30.0731%6 Aug →
inferno7–13-0.0113%5 Aug →
inferno13–8-0.0524%5 Aug →
dust211–13-0.0417%5 Aug →
cache13–80.0217%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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