BiGDiDi

BiGDiDi — CS2 Stats

DE76561198814340487[U:1:854074759]Steam profile ↗✓ No bans

2,369Tracked matches50%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
FaceitLevel 9 · 1,921 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,921 → 1,921
+45Tracked matches · now 2,369
−6.7ppWin rate · 56.7% → 50.0%

Rating over time

Faceit ELO: 1,921 +0 2 Sept – 3 Sept · 2 observations
1,9211,921peak 1,9212 Sept3 Sept
1,921Highest Faceit ELO seen on CSDB
52Days played since 2025-12-13

Faceit ELO

  • At peak — 1,921
  • Next: Level 10 at 2,001 — 80 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGBiGDiDiFACEITLevel 9 · 1,921 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,921csdb.gg/stats

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Performance scores

Aim69
Positioning57
Utility60

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateWLLWLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.09 avg rating · +3.8pp headshot accuracy · +17ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

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 (+1.5 against its own average).

Aim6.9
Utility6.0
Positioning5.7
Opening Duels3.3
Clutch3.2

Limited utility dependence

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

Twistzz

Plays most like Twistzz 87% 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 →

CSDB Rating breakdown

Aim6.9
Positioning5.7
Utility6.0
Mechanics5.4
Opening Duels3.1
Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time549ms−30ms
first ⅓ avg 579ms → last ⅓ avg 549ms
Headshot accuracy19.2%+3.1%
first ⅓ avg 16.1% → last ⅓ avg 19.2%

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 · 9–1 · nuke, 21 Aug →
53%Best headshot accuracy · 5–9 · inferno, 20 Sept →
359msFastest reaction time · 6–9 · inferno, 13 Jun →
13–1Biggest win · inferno, 8 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 44% over 34
MapGradePlayedRecordWin rateAvg rating
ancientC3415–1944%-0.02
infernoB2210–1245%-0.02
nukeA148–657%0.00
anubisB137–654%0.00
cacheS54–180%0.01
dust2—41–325%-0.04
overpass—32–167%-0.02
vertigo—20–20%-0.04
debris—11–0100%0.05
mirage—11–0100%-0.02
train—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 34). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,049Matches
52%Win rate
0.97Avg K/D
76.3ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient32457%0.9614.7
Inferno24553%0.9414.6
Anubis21549%0.9714.9
Nuke20052%0.9414.3
Dust210737%0.9314.7
Train2854%1.0115.3
Overpass1822%0.7312.9
Cache1030%0.7110.2

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.

17.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.9%Spray accuracy
74.3%Counter-strafing
9.4°Preaim
536msReaction time
37.8%T opening success
47.1%CT opening success
0.54Enemies flashed / flash
12.8%Flash assists
10.95HE damage / grenade
4.50Flashes / 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 37.8204% — below the 40% mark we flag

Spend your practice time on Ancient

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

44% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.1211%27 Oct →
ancient7–13-0.114%19 Oct →
inferno7–9-0.0938%19 Oct →
ancient13–8-0.0416%16 Oct →
inferno2–13-0.1038%16 Oct →
ancient13–9-0.0118%16 Oct →
inferno9–13-0.0313%16 Oct →
dust26–13-0.0425%4 Oct →
nuke4–13-0.057%4 Oct →
inferno5–9-0.1153%20 Sept →
inferno14–160.0221%7 Sept →
nuke13–7-0.0017%1 Sept →
anubis13–30.0819%1 Sept →
anubis6–13-0.0314%30 Aug →
vertigo10–13-0.0227%21 Aug →
ancient11–130.0115%21 Aug →
nuke9–10.1624%21 Aug →
ancient9–130.0021%17 Aug →
ancient13–80.0414%10 Aug →
ancient10–13-0.0413%27 Jul →
anubis13–11-0.0226%23 Jul →
nuke13–20.0322%23 Jul →
dust213–60.0019%21 Jul →
debris9–40.0519%21 Jul →
inferno13–11-0.0616%17 Jul →
anubis9–13-0.039%17 Jul →
anubis13–160.0115%8 Jul →
inferno13–10.1322%8 Jul →
ancient19–17-0.0115%8 Jul →
ancient5–13-0.0214%8 Jul →
anubis13–100.0312%7 Jul →
ancient13–80.0118%7 Jul →
ancient13–16-0.0821%6 Jul →
ancient13–10-0.0217%5 Jul →
ancient14–16-0.087%5 Jul →
inferno7–13-0.0732%5 Jul →
inferno13–160.0119%23 Jun →
dust29–13-0.0726%23 Jun →
nuke13–3-0.0319%21 Jun →
anubis13–80.0116%15 Jun →
ancient13–10.0529%15 Jun →
inferno13–8-0.0221%13 Jun →
nuke8–8-0.0638%13 Jun →
inferno6–90.0830%13 Jun →
cache13–9-0.0419%10 Jun →
cache13–100.0116%10 Jun →
cache13–50.0318%10 Jun →
inferno9–50.0747%31 May →
anubis13–100.0417%31 May →
anubis10–130.0121%29 May →
nuke9–60.1220%28 May →
ancient10–13-0.0311%22 May →
ancient8–13-0.088%10 May →
ancient13–50.0121%27 Apr →
ancient13–80.0112%26 Apr →
inferno7–13-0.0120%26 Apr →
inferno13–8-0.0013%26 Apr →
inferno3–9-0.0526%26 Apr →
inferno13–110.0116%25 Apr →
inferno13–9-0.0323%25 Apr →
cache7–13-0.0417%25 Apr →
ancient8–13-0.0115%25 Apr →
cache13–30.0715%25 Apr →
ancient7–13-0.046%18 Apr →
ancient13–9-0.0419%16 Apr →
vertigo4–9-0.0521%16 Apr →
dust211–13-0.0416%13 Apr →
anubis16–190.0310%26 Mar →
nuke6–13-0.0426%22 Mar →
inferno11–13-0.0721%22 Mar →
anubis13–60.0320%22 Mar →
inferno13–6-0.0411%3 Mar →
mirage13–4-0.0222%3 Mar →
nuke13–11-0.0215%1 Mar →
nuke13–10-0.0430%1 Mar →
ancient7–13-0.0314%22 Feb →
ancient8–13-0.0219%22 Feb →
inferno13–70.0126%22 Feb →
ancient13–10-0.0313%19 Feb →
anubis4–13-0.0514%10 Feb →
nuke13–160.0114%10 Feb →
ancient8–13-0.0512%4 Feb →
ancient10–13-0.0112%24 Jan →
inferno5–13-0.0419%24 Jan →
anubis13–10-0.0513%24 Jan →
nuke4–130.0116%24 Jan →
nuke13–4-0.0414%24 Jan →
ancient5–130.0015%22 Jan →
ancient19–150.0323%20 Jan →
train10–13-0.0115%4 Jan →
ancient13–80.0126%3 Jan →
overpass13–10-0.046%2 Jan →
ancient7–13-0.0312%1 Jan →
overpass13–16-0.0514%26 Dec →
ancient11–130.0123%13 Dec →
inferno13–10-0.0010%13 Dec →
nuke8–13-0.007%13 Dec →
ancient13–110.0120%13 Dec →
overpass16–140.0512%13 Dec →
ancient7–13-0.048%13 Dec →

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 →

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