BiGjD

BiGjD — CS2 Stats

GB76561197965384000[U:1:5118272]Steam profile ↗✓ No bans

1,272Tracked matches47%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
FaceitLevel 5 · 1,036 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,036 → 1,036
+42Tracked matches · now 1,272
−3.3ppWin rate · 50.0% → 46.7%

Rating over time

1,036Highest Faceit ELO seen on CSDB
41Days played since 2026-06-04

Faceit ELO

  • At peak — 1,036
  • Next: Level 5 at 1,051 — 15 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-31
  • Level 3 first seen 2026-08-31

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.GGBiGjDFACEITLevel 5 · 1,036 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,036csdb.gg/stats

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Performance scores

Aim73
Positioning60
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWLLWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · −21ms reaction

Win rate up 20pp 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 -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 500ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 562ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 572ms

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 (+2 against its own average).

Aim7.3
Utility5.0
Positioning6.0
Opening Duels2.6
Clutch2.4

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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 576ms 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

Aim7.3
Positioning6.0
Utility5.0
Mechanics8.3
Opening Duels3.6
Win Impact3.9

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time571ms−59ms
first ⅓ avg 630ms → last ⅓ avg 571ms
Headshot accuracy20.7%−4.1%
first ⅓ avg 24.8% → last ⅓ avg 20.7%

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

0.08Best match rating · 13–1 · nuke, 20 Jun →
44%Best headshot accuracy · 13–2 · cache, 4 Jul →
414msFastest reaction time · 8–13 · inferno, 28 Oct →
13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 60% over 5infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B3116–1552%-0.01
infernoD175–1229%-0.03
cacheB147–750%-0.01
nukeA116–555%0.01
anubisC104–640%-0.01
mirageC83–538%0.00
ancientA53–260%-0.01
train—10–10%-0.01
warden—11–0100%-0.02
stronghold—11–0100%-0.07
italy—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

678Matches
49%Win rate
1.00Avg K/D
71.9ADR
47%Headshot %

Clutches & streaks

32%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust24450%0.9613.7
Inferno3145%0.9813.7
Anubis2348%0.9114.1
Nuke2157%1.2316.2
Mirage1547%1.0916.7
Ancient1457%1.0615.2
Cache1250%1.0914.0
Train250%0.8214.0

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.

21.0%Headshot accuracy
32.0%Accuracy (enemy spotted)
29.6%Spray accuracy
87.5%Counter-strafing
9.2°Preaim
576msReaction time
42.4%T opening success
46.6%CT opening success
0.58Enemies flashed / flash
1.9%Flash assists
8.01HE damage / grenade
7.50Flashes / 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.

29% 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
nuke10–13-0.0312%28 Oct →
dust213–9-0.0135%28 Oct →
inferno8–13-0.0828%28 Oct →
nuke6–130.0025%25 Oct →
ancient13–100.0018%25 Oct →
dust213–9-0.0315%25 Oct →
cache13–11-0.0116%25 Oct →
anubis13–10-0.0218%24 Oct →
cache13–16-0.0522%24 Oct →
dust213–8-0.0415%24 Oct →
mirage11–13-0.0220%23 Oct →
dust211–13-0.0228%18 Oct →
inferno4–13-0.0311%18 Oct →
ancient13–10-0.0218%17 Oct →
dust213–10.0835%16 Oct →
inferno7–13-0.0514%16 Oct →
dust213–5-0.0111%11 Oct →
anubis4–13-0.0712%11 Oct →
dust213–9-0.0215%7 Oct →
cache9–13-0.0225%7 Oct →
anubis5–13-0.0219%5 Oct →
dust213–8-0.0427%5 Oct →
inferno8–130.0132%5 Oct →
dust217–190.0124%4 Oct →
inferno13–80.0525%2 Oct →
dust213–3-0.0115%2 Oct →
inferno11–13-0.0227%29 Sept →
ancient5–13-0.0323%29 Sept →
dust213–10-0.0224%27 Sept →
dust29–13-0.0217%26 Sept →
ancient13–90.0623%26 Sept →
anubis13–7-0.0114%26 Sept →
nuke6–13-0.0019%24 Sept →
cache13–10-0.0021%24 Sept →
dust29–13-0.0117%7 Sept →
nuke13–50.0218%7 Sept →
anubis11–130.0025%6 Sept →
dust211–13-0.0121%6 Sept →
inferno13–60.0126%6 Sept →
dust22–13-0.1227%31 Aug →
cache13–80.0636%31 Aug →
nuke6–13-0.0717%31 Aug →
nuke16–140.0527%30 Aug →
ancient6–13-0.0526%30 Aug →
dust22–13-0.0512%30 Aug →
inferno13–6-0.0711%30 Aug →
inferno7–13-0.0431%28 Aug →
cache13–100.0114%28 Aug →
mirage14–160.0526%28 Aug →
cache13–9-0.0121%27 Aug →
mirage13–80.0425%27 Aug →
dust213–8-0.0116%27 Aug →
dust28–130.0426%24 Aug →
inferno7–13-0.0513%24 Aug →
inferno13–100.0038%23 Aug →
anubis13–100.0122%23 Aug →
dust213–7-0.0126%23 Aug →
nuke13–90.0111%23 Aug →
mirage9–13-0.0318%18 Aug →
dust213–4-0.0321%18 Aug →
inferno10–13-0.0520%18 Aug →
anubis10–13-0.0316%13 Aug →
mirage13–8-0.0421%13 Aug →
dust213–4-0.0114%13 Aug →
cache7–13-0.0527%11 Aug →
anubis10–130.0219%11 Aug →
inferno4–13-0.0618%10 Aug →
dust214–160.0029%10 Aug →
dust225–230.0321%6 Aug →
anubis16–13-0.0120%4 Aug →
mirage6–130.0218%4 Aug →
nuke6–130.0021%4 Aug →
inferno6–130.0229%2 Aug →
dust24–130.0019%2 Aug →
nuke13–70.0528%1 Aug →
dust213–40.0337%1 Aug →
cache13–20.0144%4 Jul →
inferno11–13-0.0229%28 Jun →
dust23–13-0.0522%28 Jun →
dust29–13-0.0424%27 Jun →
cache13–80.0123%20 Jun →
dust25–13-0.0324%20 Jun →
inferno5–13-0.0636%20 Jun →
cache5–13-0.0526%20 Jun →
nuke13–10.089%20 Jun →
train10–13-0.017%20 Jun →
cache8–130.0234%20 Jun →
cache8–13-0.0517%20 Jun →
mirage16–130.0723%18 Jun →
nuke13–60.0526%18 Jun →
dust25–130.0124%18 Jun →
mirage5–13-0.0614%8 Jun →
inferno13–11-0.0320%8 Jun →
anubis6–130.0337%7 Jun →
dust213–100.0227%7 Jun →
warden13–6-0.0243%6 Jun →
stronghold13–5-0.0710%6 Jun →
italy4–13-0.0522%6 Jun →
dust211–130.0028%4 Jun →
cache10–130.0128%4 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 →

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