Bigweld

Bigweld — CS2 Stats

EH76561198307534005[U:1:347268277]Steam profile ↗✓ No bans

1,088Tracked matches52%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,088 tracked matches. 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. 44 days played since 3 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,886 +4,103 3 Jul19 Jan · 26 days played
15,04520,737peak 20,7373 Jul19 Jan
20,792Peak Premier in tracked matches
44Days played since 2025-07-03

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.GGBigweldFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning60
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY52426Last 10052%Win rateWWLLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +9.6pp headshot accuracy · −19ms 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 34%
  • Avg reaction 537ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 31%
  • Avg reaction 545ms

Last 20

  • 992 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 554ms

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: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.4
Utility6.8
Positioning6.0
Opening Duels3.5
Clutch2.6

Strong CT-side openerEffective flashes

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

NiKo

Plays most like NiKo 84% 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

T-side openings. Opening success drops from 53% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim7.4
Positioning6.0
Utility6.8
Mechanics7.5
Opening Duels2.9
Win Impact5.6

Composite 6.4/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time576ms−32ms
first ⅓ avg 608ms → last ⅓ avg 576ms
Headshot accuracy22.6%+3.7%
first ⅓ avg 18.9% → last ⅓ avg 22.6%

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

0.18Best match rating · 13–3 · inferno, 23 Dec
48%Best headshot accuracy · 8–13 · mirage, 14 Apr
375msFastest reaction time · 13–8 · inferno, 29 Dec
13–1Biggest win · overpass, 26 Dec

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
96In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 70% over 10trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB178947%-0.01
overpassS1711665%-0.01
dust2C146843%-0.02
ancientC146843%-0.01
infernoA148657%0.01
nukeS107370%0.01
trainC83538%-0.04
cacheB63350%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

986Matches
51%Win rate
1.16Avg K/D
64.3ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
9%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1250%0.7811.9
Anubis1060%0.9113.0
Ancient838%0.8512.8
Inferno771%0.7512.3
Nuke450%0.9016.5
Dust220%0.488.5

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.

22.2%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.7%Spray accuracy
83.6%Counter-strafing
9.2°Preaim
562msReaction time
29.1%T opening success
52.9%CT opening success
0.73Enemies flashed / flash
6.1%Flash assists
10.82HE damage / grenade
8.68Flashes / 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 29.0549% — below the 40% mark we flag

Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0122%6 Jun
dust213–11-0.0226%16 May
dust28–13-0.0146%12 May
cache8–130.0633%8 May
ancient4–13-0.0644%7 May
dust213–90.0532%4 May
mirage13–60.0225%4 May
cache9–13-0.0641%3 May
mirage7–13-0.0620%3 May
nuke13–60.0320%30 Apr
cache13–10-0.045%30 Apr
cache13–9-0.0317%30 Apr
cache12–120.0418%30 Apr
overpass13–10-0.0224%15 Apr
dust29–13-0.0228%14 Apr
inferno15–150.0423%14 Apr
mirage8–13-0.0148%14 Apr
nuke13–20.0730%14 Apr
ancient11–13-0.0910%19 Jan
ancient9–13-0.1011%19 Jan
inferno13–11-0.0312%17 Jan
dust24–13-0.0218%16 Jan
train6–13-0.0229%16 Jan
overpass13–100.0622%14 Jan
inferno3–13-0.0320%14 Jan
inferno13–90.0011%14 Jan
nuke13–110.0018%9 Jan
ancient6–13-0.016%7 Jan
ancient15–150.0412%6 Jan
mirage16–12-0.0311%31 Dec
mirage15–150.0323%31 Dec
ancient9–13-0.0725%29 Dec
mirage10–13-0.0415%29 Dec
inferno13–80.0315%29 Dec
mirage13–20.0110%29 Dec
inferno13–50.1324%28 Dec
ancient5–13-0.0314%28 Dec
nuke13–60.0119%28 Dec
inferno14–16-0.0521%28 Dec
overpass4–13-0.1012%27 Dec
train15–15-0.0724%27 Dec
dust213–10-0.0321%26 Dec
overpass13–10.0217%26 Dec
overpass13–40.0417%25 Dec
train13–10-0.0020%25 Dec
ancient13–90.0421%25 Dec
nuke14–160.0224%24 Dec
overpass13–30.0215%24 Dec
ancient13–40.0416%24 Dec
ancient13–60.0118%23 Dec
overpass13–60.025%23 Dec
dust213–60.0110%23 Dec
mirage13–100.0311%23 Dec
inferno13–30.1818%23 Dec
dust25–130.019%23 Dec
nuke13–11-0.0638%22 Dec
ancient13–80.0535%22 Dec
ancient13–5-0.0215%22 Dec
train13–16-0.0716%20 Dec
train13–3-0.0031%20 Dec
overpass13–4-0.049%20 Dec
inferno13–20.0723%20 Dec
overpass15–15-0.0613%20 Dec
inferno13–9-0.0214%20 Dec
dust27–13-0.050%20 Dec
mirage8–13-0.027%20 Dec
overpass13–80.0015%19 Dec
train13–11-0.0212%18 Dec
dust27–13-0.0423%18 Dec
inferno8–13-0.0315%17 Dec
inferno5–13-0.0616%16 Dec
overpass6–13-0.0610%15 Dec
ancient13–70.0019%15 Dec
train1–13-0.0732%15 Dec
nuke2–130.0524%14 Dec
overpass1–13-0.0124%13 Dec
nuke16–14-0.0115%13 Dec
overpass10–13-0.0314%13 Dec
overpass13–110.0122%12 Dec
dust216–14-0.0311%12 Dec
mirage13–100.0217%12 Dec
nuke12–40.0014%11 Dec
ancient8–130.0228%11 Dec
mirage7–10.015%11 Dec
mirage9–110.0014%11 Dec
dust27–13-0.0716%7 Dec
dust26–13-0.0512%7 Dec
inferno13–7-0.0228%7 Dec
mirage12–16-0.0423%7 Dec
mirage6–13-0.0524%7 Dec
train9–13-0.0729%7 Dec
nuke14–16-0.0723%4 Dec
dust213–60.0517%3 Dec
inferno11–13-0.0318%28 Nov
overpass13–2-0.0216%23 Nov
mirage6–13-0.0421%18 Nov
overpass8–130.0113%18 Nov
overpass13–90.0324%17 Nov
mirage13–7-0.0324%17 Nov
mirage13–10-0.0425%3 Jul

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 →