BigMatt

BigMatt — CS2 Stats

US76561198089575138[U:1:129309410]Steam profile ↗✓ No bans

3,961Tracked matches40%Win rate2020Tracked since
9,338Hours in CS12Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating26,148Top 10% of 204,793 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11688 of 251863 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+301Premier CS Rating · 25,847 → 26,148

Rating over time

Premier CS Rating: 26,148 +1,747 2 Aug – 15 Oct · 30 days played
24,28728,239peak 28,2392 Aug15 Oct
Faceit ELO: 1,601 +0 30 Aug – 14 Sept · 3 observations
1,6011,601peak 1,60130 Aug14 Sept
28,522Peak Premier in tracked matches
1,601Highest Faceit ELO seen on CSDB
49Days played since 2026-07-16

Faceit ELO

  • At peak — 1,601
  • Next: Level 9 at 1,751 — 150 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-30
  • Level 7 first seen 2026-08-30

Premier CS Rating

  • 2,091 below peak (28,239)
  • -1,373 over 30 days · declining
  • Next: Gold band at 30,000 — 3,852 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches37——
Win rate43%——
K/D0.70——
Headshot %42%——

Measured 14 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate45.8%49.3%50.9%5.1% short
Shot accuracy13.4%13.4%11.8%above
Kill/death ratio0.821.121.180.36 short
Match win rate45.4%48.5%51.9%6.5% short

This profile matches the typical Gold band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBigMattPREMIER26,148 · Red bandPEAK ELO1,601csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71
Positioning64
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWLLWLWWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −3.1pp headshot accuracy · +91ms 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 -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 589ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 573ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 528ms

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 (+3 against its own average).

Aim7.1
Utility3.0
Positioning6.4
Opening Duels1.3
Clutch3.0

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

ropz

Plays most like ropz 81% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 552ms 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

Aim7.1
Positioning6.4
Utility3.0
Mechanics6.0
Opening Duels4.6
Win Impact1.7

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time531ms−89ms
first ⅓ avg 620ms → last ⅓ avg 531ms
Headshot accuracy15.7%−2.3%
first ⅓ avg 18.0% → last ⅓ avg 15.7%

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

0.14Best match rating · 13–2 · mirage, 10 Aug →
42%Best headshot accuracy · 2–13 · nuke, 3 Aug →
188msFastest reaction time · 0–13 · cache, 7 Sept →
13–1Biggest win · inferno, 10 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 73% over 15anubisWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB189–950%-0.01
anubisC166–1038%-0.01
cacheS1511–473%-0.02
dust2A148–657%-0.00
nukeA127–558%-0.03
mirageA106–460%-0.02
ancientC73–443%-0.01
train—30–30%-0.05
vertigo—32–167%0.01
office—10–10%0.03
boulder—10–10%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

261,723Lifetime kills
0.82K/D
7,990Matches
45.4%Match win rate
45.8%Headshot %
13.4%Shot accuracy · Top 50% of Red band
20,589MVPs
12,740Hours (in match)
10,274Bombs planted
3,183Bombs defused

Most-used weapons

AK-47101,230
AWP18,906
SG 5536,873
AUG5,076
Knife4,674

Lifetime map wins

21,007dust2
20,449inferno
6,115nuke
6,041train
1,607vertigo
1,424cbble
1,286office
164lake

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

Faceit stats

Combat

2,182Matches
49%Win rate
1.03Avg K/D
76.3ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage40447%1.0015.0
Inferno24250%1.0415.6
Dust221643%0.9915.1
Anubis18544%0.9614.5
Nuke16152%1.0315.6
Ancient13549%0.9413.9
Train8561%1.2716.9
Overpass5040%1.0516.3

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.

16.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
40.3%Spray accuracy
76.8%Counter-strafing
9.8°Preaim
552msReaction time
54.6%T opening success
42.4%CT opening success
0.41Enemies flashed / flash
1.9%Flash assists
8.37HE 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. 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 0.409 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.067%15 Oct →
inferno9–13-0.025%13 Oct →
anubis14–16-0.029%11 Oct →
inferno13–40.078%8 Oct →
anubis9–13-0.0828%8 Oct →
mirage16–14-0.0813%8 Oct →
dust213–30.0419%3 Oct →
cache9–11-0.0415%2 Oct →
nuke8–130.0016%2 Oct →
dust22–130.019%2 Oct →
inferno13–11-0.0113%27 Sept →
inferno9–13-0.0321%27 Sept →
mirage9–13-0.0711%25 Sept →
ancient6–13-0.0512%24 Sept →
cache13–8-0.0127%22 Sept →
train9–13-0.039%19 Sept →
cache5–13-0.0327%19 Sept →
dust20–2-0.010%19 Sept →
mirage2–13-0.0820%19 Sept →
cache13–2-0.0620%19 Sept →
vertigo13–20.0132%17 Sept →
train6–13-0.0715%17 Sept →
mirage9–130.0116%15 Sept →
anubis10–40.015%15 Sept →
inferno6–13-0.0325%15 Sept →
inferno8–130.0114%13 Sept →
mirage5–13-0.099%13 Sept →
cache13–8-0.0525%13 Sept →
mirage13–100.0219%12 Sept →
inferno13–70.0029%12 Sept →
vertigo12–120.0318%9 Sept →
nuke13–11-0.0313%8 Sept →
anubis6–13-0.0311%8 Sept →
anubis13–6-0.0210%7 Sept →
inferno13–70.0020%7 Sept →
cache0–13-0.0525%7 Sept →
cache13–7-0.0138%7 Sept →
nuke13–30.0524%7 Sept →
ancient8–1-0.0514%7 Sept →
anubis13–30.0538%7 Sept →
dust213–8-0.0216%7 Sept →
nuke13–6-0.0423%7 Sept →
mirage13–60.0211%7 Sept →
nuke13–10-0.0415%7 Sept →
ancient14–16-0.0012%6 Sept →
inferno13–8-0.048%6 Sept →
anubis8–130.0419%4 Sept →
dust213–90.0115%3 Sept →
cache10–130.0112%3 Sept →
anubis7–13-0.0420%1 Sept →
anubis11–13-0.0226%30 Aug →
mirage13–40.0217%29 Aug →
cache16–140.0015%29 Aug →
nuke13–10-0.0328%29 Aug →
inferno19–150.0210%28 Aug →
ancient3–130.0717%27 Aug →
anubis11–13-0.0514%25 Aug →
nuke4–13-0.0422%25 Aug →
cache16–14-0.0121%24 Aug →
inferno9–13-0.0519%23 Aug →
nuke11–13-0.0237%23 Aug →
ancient13–8-0.0217%23 Aug →
inferno13–2-0.0420%23 Aug →
dust210–13-0.0726%18 Aug →
cache13–20.0228%17 Aug →
dust213–70.0225%17 Aug →
nuke13–8-0.0113%15 Aug →
ancient13–2-0.0215%15 Aug →
nuke13–11-0.0216%15 Aug →
anubis6–13-0.0116%14 Aug →
inferno13–10.0210%10 Aug →
mirage13–20.1415%10 Aug →
cache13–60.0415%10 Aug →
anubis16–12-0.0020%10 Aug →
cache13–10-0.0340%9 Aug →
anubis13–70.0719%7 Aug →
nuke2–13-0.1142%3 Aug →
anubis4–13-0.0525%2 Aug →
dust213–40.0921%2 Aug →
dust26–0-0.058%2 Aug →
vertigo13–8-0.019%2 Aug →
office2–70.0327%2 Aug →
cache13–10-0.0514%2 Aug →
inferno12–12-0.0221%2 Aug →
inferno4–13-0.0415%2 Aug →
boulder11–13-0.0112%1 Aug →
anubis16–14-0.0514%30 Jul →
ancient2–13-0.0416%26 Jul →
dust211–13-0.0128%26 Jul →
dust20–6-0.0113%25 Jul →
train7–13-0.066%25 Jul →
dust213–11-0.0022%23 Jul →
inferno14–16-0.0015%21 Jul →
dust216–13-0.0022%20 Jul →
inferno7–13-0.0322%19 Jul →
cache13–11-0.019%18 Jul →
nuke9–13-0.0712%17 Jul →
inferno13–80.0119%17 Jul →
dust28–13-0.0211%16 Jul →
anubis2–13-0.0126%16 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.