Big_dickdyer

Big_dickdyer — CS2 Stats

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

1,223Tracked matches57%Win rate2022Tracked since
CSDB Rating4.9 DevelopingAll-Rounder
Premier CS Rating20,496Top 50% of 180,525 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#67517 of 224067 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 9 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,496 +871 9 Jun16 Sept · 25 days played
18,14620,496peak 20,4969 Jun16 Sept
20,496Peak Premier in tracked matches
1,757Highest Faceit ELO seen on CSDB
43Days played since 2026-06-09

Faceit ELO

  • At peak — 1,757
  • Next: Level 10 at 2,001 244 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • At peak — 20,496
  • +1,130 over 30 days · improving
  • +1,717 over 90 days
  • Next: Red band at 25,000 4,504 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. 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_dickdyerPREMIER20,496 · Pink bandPEAK ELO1,757csdb.gg/stats

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Performance scores

Aim48
Positioning56
Utility53

0–100 skill scores via Leetify.

Recent form

HOT51481Last 10051%Win rateWWWLLLWWWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · −67ms reaction

Win rate up 40pp 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 525ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim4.8
Utility5.3
Positioning5.6
Opening Duels5.0
Clutch4.0

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 72% 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. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim4.8
Positioning5.6
Utility5.3
Mechanics1.2
Opening Duels5.0
Win Impact7.2

Composite 4.9/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time585ms−46ms
first ⅓ avg 632ms → last ⅓ avg 585ms
Headshot accuracy16.7%+1.3%
first ⅓ avg 15.4% → last ⅓ avg 16.7%

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

0.25Best match rating · 9–2 · inferno, 10 Jul
33%Best headshot accuracy · 9–0 · inferno, 2 Aug
438msFastest reaction time · 8–13 · ancient, 28 Jul
13–2Biggest win · mirage, 11 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
89In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 64% over 33dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA33211264%0.02
ancientA1911858%0.03
infernoD1751229%-0.00
dust2D113827%0.01
anubisA85363%0.02
nukeC52340%0.06
vertigo32167%0.07
cache220100%-0.03
shelter1010%0.00
overpass1010%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

538Matches
50%Win rate
1.17Avg K/D
82.2ADR
33%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage23653%1.2117.4
Ancient10553%1.1816.9
Nuke6256%1.2115.5
Inferno4547%1.1616.6
Anubis4038%1.0616.1
Dust23238%1.0113.8
Train838%1.0016.9
Cache714%0.9415.0

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.

15.7%Headshot accuracy
36.2%Accuracy (enemy spotted)
39.3%Spray accuracy
55.3%Counter-strafing
10.9°Preaim
591msReaction time
50.6%T opening success
49.4%CT opening success
0.50Enemies flashed / flash
6.8%Flash assists
8.31HE damage / grenade
7.23Flashes / 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 0.4951 — below the 0.5 mark we flag

    Grenade Lineups
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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0617%16 Sept
anubis13–100.0212%16 Sept
ancient16–13-0.0314%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
inferno2–9-0.0831%2 Aug
vertigo9–30.160%2 Aug
inferno9–40.1112%2 Aug
inferno2–9-0.1419%2 Aug
dust213–70.1217%1 Aug
nuke13–100.0315%1 Aug
inferno14–160.0219%31 Jul
ancient16–14-0.0115%31 Jul
anubis13–110.0515%31 Jul
inferno10–13-0.0628%31 Jul
ancient13–110.0115%29 Jul
ancient13–30.1825%29 Jul
ancient8–130.0622%28 Jul
ancient13–50.1724%28 Jul
ancient11–130.0912%28 Jul
mirage9–130.0216%28 Jul
anubis13–80.0714%28 Jul
mirage13–60.1513%26 Jul
nuke8–130.1327%26 Jul
mirage13–7-0.029%26 Jul
anubis13–70.0820%25 Jul
dust214–16-0.0715%25 Jul
cache13–9-0.038%25 Jul
inferno1–13-0.0121%24 Jul
mirage5–130.009%24 Jul
mirage13–30.0522%24 Jul
dust25–13-0.038%22 Jul
mirage13–10-0.0914%22 Jul
shelter10–130.0030%21 Jul
mirage11–13-0.0412%21 Jul
inferno9–130.0324%20 Jul
mirage11–130.0411%15 Jul
mirage13–50.0323%12 Jul
inferno3–9-0.160%12 Jul
dust215–150.0720%12 Jul
mirage13–60.0814%11 Jul
mirage13–20.1211%11 Jul
inferno9–20.2517%10 Jul
mirage16–120.0311%9 Jul
dust29–13-0.088%9 Jul
mirage13–9-0.0418%9 Jul
inferno4–13-0.054%9 Jul
ancient11–130.0313%8 Jul
mirage22–20-0.016%7 Jul
mirage9–13-0.0520%7 Jul
dust210–130.0311%6 Jul
nuke10–13-0.0111%1 Jul
mirage13–110.0118%1 Jul
anubis10–130.0019%30 Jun
ancient10–130.0321%29 Jun
inferno7–13-0.0519%28 Jun
mirage13–40.0026%28 Jun
cache13–5-0.037%26 Jun
overpass8–130.0126%26 Jun
ancient13–80.1218%25 Jun
mirage5–130.0513%25 Jun
mirage13–100.017%25 Jun
ancient8–13-0.0814%18 Jun
inferno16–12-0.0224%15 Jun
ancient13–4-0.0319%15 Jun
mirage8–130.047%15 Jun
mirage13–30.0224%15 Jun
dust210–13-0.0118%15 Jun
anubis5–13-0.0710%10 Jun
mirage13–16-0.0213%10 Jun
inferno8–13-0.0324%9 Jun
mirage13–70.0423%9 Jun
ancient16–130.0217%9 Jun

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 →