Big_dickdyer

Big_dickdyer — CS2 Stats

76561198887989545[U:1:927723817]Steam profile ↗✓ No bans

1,344Tracked matches59%Win rate2022Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating19,753Top 50% of 213,542 CSDB-tracked playersPurple band · top ~9.5% of ranked players (population est.)
CSDB Leaderboard#89873 of 260096 tracked
FaceitLevel 8 · 1,757 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (yesterday). 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: 19,753 +125 4 Aug – 5 Nov · 34 days played
19,32221,892peak 21,8924 Aug5 Nov
22,111Peak Premier in tracked matches
1,757Highest Faceit ELO seen on CSDB
40Days played since 2026-08-02

Faceit ELO

  • At peak — 1,757
  • Next: Level 10 at 2,001 — 244 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

Premier CS Rating

  • 2,139 below peak (21,892)
  • -965 over 30 days · declining
  • -246 over 90 days
  • Next: Pink band at 20,000 — 247 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGBig_dickdyerFACEITLevel 8 · 1,757 ELOSTANDINGTop 31.2% of rankedPREMIER19,753 · Purple bandPEAK ELO1,757csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61
Positioning63
Utility45

0–100 skill scores via Leetify.

Recent form

COLD56–41–3Last 10056%Win rateLLWLWLWTLL

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · +1.0pp headshot accuracy · −23ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 488ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 498ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 509ms

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 (+1.5 against its own average).

Aim6.1
Utility4.5
Positioning6.3
Opening Duels4.4
Clutch3.8

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Counter-strafing. Only 59% 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

Aim6.1
Positioning6.3
Utility4.5
Mechanics1.9
Opening Duels6.8
Win Impact7.9

Composite 5.5/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time510ms−74ms
first ⅓ avg 584ms → last ⅓ avg 510ms
Headshot accuracy12.9%−3.0%
first ⅓ avg 16.0% → last ⅓ avg 12.9%

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

0.16Best match rating · 13–6 · dust2, 17 Oct →
33%Best headshot accuracy · 9–0 · inferno, 2 Aug →
391msFastest reaction time · 9–4 · inferno, 10 Oct →
13–2Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 82% over 11infernoWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%0.02
ancientB199–1047%0.01
infernoC177–1041%0.02
dust2S1410–471%0.04
anubisS119–282%0.02
nukeC94–544%0.06
cache—42–250%-0.00
vertigo—21–150%0.03
boulder—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

593Matches
51%Win rate
1.18Avg K/D
82.5ADR
33%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage25153%1.2117.3
Ancient11553%1.1817.2
Nuke7457%1.2415.8
Inferno4945%1.1416.3
Anubis4441%1.1216.6
Dust23639%1.0214.5
Cache1338%1.1615.5
Train838%1.0016.9

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.

13.0%Headshot accuracy
38.5%Accuracy (enemy spotted)
37.9%Spray accuracy
58.5%Counter-strafing
9.8°Preaim
510msReaction time
58.7%T opening success
55.9%CT opening success
0.44Enemies flashed / flash
5.5%Flash assists
9.37HE damage / grenade
6.56Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0274% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4426 — below the 0.5 mark we flag

    Grenade Lineups →
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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient17–190.0013%5 Nov →
anubis3–9-0.0922%5 Nov →
ancient16–140.086%4 Nov →
mirage8–130.019%3 Nov →
cache16–12-0.0115%3 Nov →
mirage8–130.0213%3 Nov →
dust213–80.0525%2 Nov →
nuke15–150.0211%2 Nov →
mirage11–130.0413%1 Nov →
ancient13–160.0213%1 Nov →
ancient13–80.1012%1 Nov →
inferno13–60.089%1 Nov →
dust213–100.0713%1 Nov →
boulder13–9-0.0523%29 Oct →
ancient6–130.0415%29 Oct →
mirage13–80.0612%28 Oct →
inferno10–130.0613%28 Oct →
ancient13–90.0511%27 Oct →
ancient13–50.0111%25 Oct →
nuke13–80.0913%25 Oct →
dust213–110.0215%25 Oct →
inferno11–130.0317%24 Oct →
mirage9–13-0.0113%24 Oct →
inferno10–13-0.0211%24 Oct →
mirage13–110.0220%24 Oct →
anubis13–60.024%24 Oct →
ancient13–110.0111%24 Oct →
anubis13–40.089%23 Oct →
mirage13–40.0810%23 Oct →
nuke9–13-0.0514%23 Oct →
mirage10–13-0.038%23 Oct →
ancient6–130.007%23 Oct →
anubis13–10-0.0719%23 Oct →
mirage13–90.039%23 Oct →
ancient4–7-0.0513%22 Oct →
mirage13–60.1012%22 Oct →
nuke13–20.1426%18 Oct →
ancient10–130.0114%18 Oct →
mirage4–13-0.0623%17 Oct →
dust213–50.015%17 Oct →
dust213–60.1622%17 Oct →
nuke9–130.0312%17 Oct →
inferno13–50.0613%17 Oct →
anubis13–70.0313%17 Oct →
dust213–9-0.035%16 Oct →
dust24–13-0.0115%16 Oct →
ancient10–13-0.0312%16 Oct →
inferno8–80.019%16 Oct →
inferno8–8-0.029%16 Oct →
anubis13–110.1016%14 Oct →
nuke8–130.079%14 Oct →
anubis16–120.0414%13 Oct →
cache13–80.0611%13 Oct →
nuke13–70.0510%10 Oct →
inferno9–40.0611%10 Oct →
dust213–90.0816%8 Oct →
cache10–13-0.0418%1 Oct →
inferno3–130.0114%30 Sept →
inferno9–40.0813%29 Sept →
mirage13–80.1114%29 Sept →
dust28–130.0124%29 Sept →
cache14–16-0.0212%28 Sept →
dust213–70.0421%28 Sept →
inferno11–13-0.0112%24 Sept →
anubis13–90.0011%24 Sept →
inferno13–50.0215%19 Sept →
inferno11–13-0.056%19 Sept →
ancient13–110.0617%16 Sept →
anubis13–100.0212%16 Sept →
ancient16–13-0.0314%15 Sept →
mirage13–8-0.036%15 Sept →
ancient11–13-0.0115%6 Sept →
vertigo4–9-0.1015%5 Sept →
anubis6–13-0.0910%27 Aug →
mirage13–110.0219%25 Aug →
mirage13–50.0615%25 Aug →
ancient5–00.0010%25 Aug →
anubis13–80.1211%24 Aug →
mirage5–130.0119%24 Aug →
dust214–160.0121%17 Aug →
ancient4–13-0.0412%13 Aug →
mirage13–90.0516%10 Aug →
dust211–130.0213%10 Aug →
inferno7–13-0.0113%10 Aug →
mirage13–100.0412%10 Aug →
mirage13–160.0620%7 Aug →
dust213–100.0117%6 Aug →
nuke10–130.0223%6 Aug →
ancient13–50.038%6 Aug →
mirage12–16-0.046%5 Aug →
dust213–80.0819%5 Aug →
mirage16–120.0323%5 Aug →
ancient5–13-0.0517%4 Aug →
mirage16–14-0.0117%4 Aug →
nuke13–70.1519%4 Aug →
mirage6–13-0.0311%4 Aug →
inferno9–40.0620%2 Aug →
vertigo9–40.1524%2 Aug →
inferno6–9-0.1122%2 Aug →
inferno9–00.1633%2 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.