bigdbone

bigdbone — CS2 Stats

76561198391442893[U:1:431177165]Steam profile ↗✓ No bans

895Tracked matches60%Win rate2020Tracked since
5,719Hours in CS56Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
FaceitLevel 7 · 1,491 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,491 → 1,491
+266Tracked matches · now 895
+22.1ppWin rate · 37.9% → 60.0%

Rating over time

1,491Highest Faceit ELO seen on CSDB
31Days played since 2026-09-04

Faceit ELO

  • At peak — 1,491
  • Next: Level 8 at 1,531 — 40 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-04
  • Level 6 first seen 2026-09-04

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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate52.3%45.7%46.8%above
Shot accuracy18.5%12.7%13.0%above
Kill/death ratio0.971.051.060.09 short
Match win rate44.2%45.7%46.3%2.1% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbigdboneFACEITLevel 7 · 1,491 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,491csdb.gg/stats

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Performance scores

Aim84
Positioning61
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLWWLLWWLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.0pp headshot accuracy · −64ms 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 -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 533ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 565ms

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).

Aim8.4
Utility5.8
Positioning6.1
Opening Duels3.0
Clutch3.6

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 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.4
Positioning6.1
Utility5.8
Mechanics6.2
Opening Duels4.2
Win Impact8.3

Composite 6.1/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time549ms−35ms
first ⅓ avg 584ms → last ⅓ avg 549ms
Headshot accuracy24.5%+2.9%
first ⅓ avg 21.5% → last ⅓ avg 24.5%

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

0.11Best match rating · 10–13 · dust2, 15 Oct →
53%Best headshot accuracy · 13–6 · mirage, 20 Oct →
391msFastest reaction time · 13–10 · inferno, 27 Oct →
13–1Biggest win · dust2, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
14–7In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 75% over 16anubisWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2512–1348%-0.02
ancientB189–950%-0.01
dust2S1612–475%0.02
anubisC125–742%-0.01
cacheB115–645%0.00
nukeS96–367%-0.00
infernoA85–363%-0.01
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

186,285Lifetime kills
0.97K/D
6,750Matches
44.2%Match win rate
52.3%Headshot % · Top 25% of Level 7 players
18.5%Shot accuracy · Top 10% of Level 7 players
23,844MVPs
3,976Hours (in match)
6,860Bombs planted
1,617Bombs defused

Most-used weapons

AK-4768,218
AWP26,102
SG 5538,475
AUG5,139
Knife3,643
FAMAS2,878

Lifetime map wins

11,983inferno
9,016dust2
3,496train
2,439cbble
1,509nuke
806vertigo
205lake
112safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,773Matches
50%Win rate
1.17Avg K/D
75.4ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage23945%1.0315.6
Dust220054%1.0616.2
Ancient10849%1.0116.2
Inferno9852%1.0115.7
Anubis8551%1.0215.1
Nuke5847%0.9514.7
Cache4947%1.1016.0
Overpass3557%1.1018.4

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.

24.8%Headshot accuracy
37.7%Accuracy (enemy spotted)
42.4%Spray accuracy
77.8%Counter-strafing
10.1°Preaim
549msReaction time
50.1%T opening success
43.9%CT opening success
0.61Enemies flashed / flash
8.1%Flash assists
8.81HE damage / grenade
13.18Flashes / match

Recommended for you

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0725%29 Oct →
inferno13–9-0.0115%29 Oct →
mirage13–8-0.0215%28 Oct →
ancient5–130.0223%28 Oct →
ancient14–160.0224%27 Oct →
nuke13–70.0442%27 Oct →
ancient13–80.0128%27 Oct →
cache8–13-0.0520%27 Oct →
inferno13–100.0525%27 Oct →
mirage6–13-0.069%27 Oct →
ancient7–13-0.0616%25 Oct →
dust216–14-0.0326%25 Oct →
inferno9–13-0.0722%25 Oct →
anubis13–7-0.0126%25 Oct →
anubis13–30.0325%25 Oct →
ancient13–6-0.0023%23 Oct →
mirage8–130.0136%23 Oct →
mirage4–13-0.0117%23 Oct →
cache13–60.0517%23 Oct →
cache13–6-0.0127%22 Oct →
inferno16–12-0.0519%22 Oct →
dust213–110.0425%22 Oct →
inferno4–130.0532%21 Oct →
mirage13–60.0153%20 Oct →
inferno18–220.0130%20 Oct →
dust213–100.0530%19 Oct →
anubis2–13-0.0621%19 Oct →
dust216–130.0327%18 Oct →
anubis13–50.0228%18 Oct →
mirage13–11-0.0415%17 Oct →
dust22–13-0.0032%15 Oct →
cache14–160.0420%15 Oct →
dust210–130.1115%15 Oct →
ancient11–130.0120%14 Oct →
nuke16–140.0916%14 Oct →
nuke13–70.0429%13 Oct →
mirage13–60.0126%12 Oct →
ancient19–17-0.0018%12 Oct →
dust213–100.0123%11 Oct →
anubis5–13-0.0320%10 Oct →
nuke13–7-0.0329%9 Oct →
mirage13–80.0316%7 Oct →
mirage11–13-0.0424%6 Oct →
anubis9–13-0.0335%6 Oct →
mirage13–6-0.0323%6 Oct →
anubis13–90.0522%6 Oct →
cache6–13-0.0525%6 Oct →
cache13–7-0.0234%5 Oct →
ancient9–13-0.0819%5 Oct →
ancient8–13-0.0126%5 Oct →
cache13–40.0424%5 Oct →
mirage10–13-0.0521%5 Oct →
ancient8–130.0024%5 Oct →
dust213–50.1037%5 Oct →
dust213–90.0518%5 Oct →
dust213–10.0534%5 Oct →
anubis7–130.0217%5 Oct →
vertigo13–8-0.0229%4 Oct →
mirage7–130.0219%4 Oct →
mirage7–13-0.0320%4 Oct →
cache7–13-0.0130%4 Oct →
mirage3–13-0.0336%4 Oct →
dust26–13-0.0319%3 Oct →
ancient16–13-0.0320%3 Oct →
cache19–170.0326%3 Oct →
cache5–13-0.0135%3 Oct →
mirage6–13-0.0017%3 Oct →
dust29–13-0.0320%3 Oct →
dust213–9-0.0713%2 Oct →
mirage13–4-0.0129%2 Oct →
nuke14–16-0.0115%2 Oct →
nuke13–90.0023%2 Oct →
inferno13–11-0.0036%2 Oct →
anubis4–13-0.0621%2 Oct →
mirage14–16-0.0118%2 Oct →
inferno13–10-0.0217%2 Oct →
ancient13–80.0125%2 Oct →
anubis10–13-0.0317%2 Oct →
mirage16–14-0.0014%1 Oct →
ancient13–110.0520%1 Oct →
dust213–20.0536%1 Oct →
mirage11–13-0.0116%1 Oct →
nuke13–100.0032%1 Oct →
cache7–130.0237%1 Oct →
mirage13–11-0.0616%1 Oct →
ancient13–40.0017%1 Oct →
ancient13–60.0219%30 Sept →
mirage12–16-0.0025%30 Sept →
nuke3–13-0.0925%30 Sept →
dust213–11-0.0426%29 Sept →
anubis16–130.0311%29 Sept →
mirage9–130.0124%28 Sept →
ancient9–13-0.0617%28 Sept →
ancient16–14-0.0021%28 Sept →
mirage13–11-0.0711%28 Sept →
dust213–11-0.0323%27 Sept →
nuke7–13-0.0815%27 Sept →
mirage13–10-0.0230%27 Sept →
ancient6–13-0.0717%26 Sept →
mirage13–100.0323%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 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.