bigfatlp

bigfatlp — CS2 Stats

CA76561197960880377[U:1:614649]Steam profile ↗✓ No bans

1,021Tracked matches59%Win rate2020Tracked since
3,665Hours in CS10Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating19,010Top 50% of 205,416 CSDB-tracked playersPurple band · top ~12.4% of ranked players (population est.)
CSDB Leaderboard#95983 of 252600 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+32Premier CS Rating · 18,978 → 19,010

Rating over time

Premier CS Rating: 19,010 +1,852 14 May – 17 Oct · 45 days played
15,49119,527peak 19,52714 May17 Oct
19,527Peak Premier in tracked matches
70Days played since 2026-05-03

Premier CS Rating

  • 517 below peak (19,527)
  • +619 over 30 days · improving
  • Next: Pink band at 20,000 — 990 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate43.3%44.3%46.9%3.6% short
Shot accuracy15.4%11.9%13.0%above
Kill/death ratio0.931.031.080.15 short
Match win rate41.5%45.2%46.7%5.1% short

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

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

Share this profile

CSDB.GGbigfatlpPREMIER19,010 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning72
Utility52

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateLWWWWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −37ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 542ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 582ms

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 (+1.1 against its own average).

Aim6.8
Utility5.2
Positioning7.2
Opening Duels5.9

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

jL

Plays most like jL 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 590ms 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

Aim6.8
Positioning7.2
Utility5.2
Mechanics7.3
Opening Duels6.5
Win Impact7.9

Composite 6.8/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time600ms−38ms
first ⅓ avg 639ms → last ⅓ avg 600ms
Headshot accuracy15.7%+0.0%
first ⅓ avg 15.7% → 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

0.13Best match rating · 13–2 · mirage, 22 Aug →
31%Best headshot accuracy · 13–6 · dust2, 15 Jul →
453msFastest reaction time · 13–3 · nuke, 26 Jul →
13–1Biggest win · cache, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 61% over 18ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA3319–1458%0.01
dust2A1811–761%0.03
mirageB178–947%0.02
nukeB158–753%-0.00
infernoC73–443%0.01
ancientD62–433%-0.00
anubis—32–167%0.02
overpass—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,479Lifetime kills
0.93K/D
4,133Matches
41.5%Match win rate
43.3%Headshot %
15.4%Shot accuracy · Top 25% of Purple band
8,302MVPs
1,992Hours (in match)
2,597Bombs planted
644Bombs defused

Most-used weapons

AK-4739,147
AWP7,180
P2501,550
FAMAS1,464
UMP-451,282

Lifetime map wins

5,392dust2
4,553inferno
1,563nuke
974vertigo
937train
220cbble
39lake
25dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.3%Headshot accuracy
38.3%Accuracy (enemy spotted)
37.5%Spray accuracy
82.8%Counter-strafing
11.6°Preaim
590msReaction time
55.8%T opening success
56.0%CT opening success
0.50Enemies flashed / flash
5.1%Flash assists
9.54HE damage / grenade
9.50Flashes / match

Recommended for you

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0125%17 Oct →
nuke13–10-0.0117%17 Oct →
nuke13–90.0620%14 Oct →
nuke13–110.0319%13 Oct →
anubis16–140.0011%12 Oct →
ancient13–80.088%12 Oct →
cache13–10-0.0115%12 Oct →
mirage9–130.0318%12 Oct →
ancient11–13-0.084%10 Oct →
cache13–5-0.0111%9 Oct →
cache13–6-0.0016%6 Oct →
dust26–130.0818%6 Oct →
cache13–80.1219%1 Oct →
mirage13–100.0124%29 Sept →
dust27–13-0.058%26 Sept →
inferno13–40.0322%26 Sept →
nuke10–13-0.0314%26 Sept →
dust213–100.0314%25 Sept →
mirage13–110.0610%24 Sept →
cache3–130.0112%24 Sept →
dust210–130.0319%24 Sept →
inferno15–15-0.0311%23 Sept →
cache13–110.079%23 Sept →
ancient8–13-0.0311%22 Sept →
nuke11–13-0.0223%22 Sept →
dust213–110.0714%20 Sept →
nuke8–13-0.0210%13 Sept →
inferno10–130.0223%13 Sept →
cache13–1-0.0024%12 Sept →
nuke13–70.0015%12 Sept →
cache7–13-0.0813%12 Sept →
mirage4–130.0030%12 Sept →
anubis13–40.0913%9 Sept →
mirage7–13-0.0613%9 Sept →
mirage10–130.0319%8 Sept →
dust213–90.0116%7 Sept →
mirage15–15-0.0316%6 Sept →
dust213–160.0418%5 Sept →
nuke13–50.0817%3 Sept →
mirage8–130.0013%3 Sept →
mirage13–100.0613%1 Sept →
inferno13–80.0416%29 Aug →
nuke3–13-0.1213%24 Aug →
anubis6–13-0.0110%24 Aug →
mirage6–13-0.0314%24 Aug →
mirage13–11-0.0215%23 Aug →
mirage13–20.1316%22 Aug →
dust213–100.0511%21 Aug →
cache13–6-0.026%21 Aug →
cache13–90.0421%12 Aug →
dust213–90.0419%12 Aug →
mirage7–130.0221%8 Aug →
inferno16–130.0313%7 Aug →
inferno11–13-0.0212%6 Aug →
cache13–110.0329%5 Aug →
dust213–80.0925%3 Aug →
mirage16–140.0916%31 Jul →
nuke13–30.0426%26 Jul →
inferno9–130.039%25 Jul →
cache6–13-0.0915%25 Jul →
ancient13–9-0.0110%24 Jul →
cache13–10-0.0124%23 Jul →
nuke13–6-0.038%19 Jul →
cache9–130.0414%19 Jul →
mirage13–110.1019%18 Jul →
cache8–13-0.0425%16 Jul →
dust213–60.0131%15 Jul →
cache7–13-0.0217%15 Jul →
dust213–50.1024%13 Jul →
cache4–13-0.048%12 Jul →
cache13–30.0521%8 Jul →
cache11–13-0.0112%3 Jul →
cache13–10-0.0421%25 Jun →
cache12–120.0113%23 Jun →
cache13–110.0517%21 Jun →
dust213–60.0314%17 Jun →
cache13–7-0.0217%17 Jun →
cache3–130.0213%17 Jun →
cache11–130.0118%12 Jun →
nuke7–130.0315%8 Jun →
ancient10–13-0.008%8 Jun →
nuke8–13-0.0315%7 Jun →
dust22–13-0.114%6 Jun →
overpass5–13-0.0711%6 Jun →
cache9–13-0.0124%31 May →
ancient11–130.0321%29 May →
dust213–50.0519%27 May →
cache13–80.0015%26 May →
nuke13–20.017%20 May →
dust25–13-0.0116%20 May →
dust213–100.0418%18 May →
nuke6–13-0.0714%16 May →
mirage13–90.0418%15 May →
dust27–130.0620%14 May →
cache13–60.0324%13 May →
cache13–6-0.0022%11 May →
cache13–60.0413%7 May →
cache13–100.0316%6 May →
cache8–130.0515%3 May →
cache6–130.0412%3 May →

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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