.bigrincs

.bigrincs — CS2 Stats

76561198066745403[U:1:106479675]Steam profile ↗VAC banned

1,548Tracked matches50%Win rate2020Tracked since
7,237Hours in CS34Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating14,743Blue band · top ~29.8% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 14,743 → 14,743
+1Tracked matches · now 1,548
0.0ppWin rate · 50.0% → 50.0%
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. 34 days played since 10 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,743 -895 11 Jul23 Sept · 24 days played
13,25915,779peak 15,77911 Jul23 Sept
16,080Peak Premier in tracked matches
34Days played since 2026-07-10

Premier CS Rating

  • 1,036 below peak (15,779)
  • -256 over 30 days · steady
  • Next: Purple band at 15,000 257 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate48.3%41.9%44.3%above
Shot accuracy18.8%9.6%11.8%above
Kill/death ratio2.300.981.03above
Match win rate40.2%43.8%45.2%5.0% short

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG.bigrincsPREMIER14,743 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning57
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY40519Last 10040%Win rateWLWWLLLTWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.3pp headshot accuracy · −45ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

Last 20

  • 992 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 581ms

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 PlayerPositioning stands above the rest of this profile (+2.8 against its own average).

Aim6.5
Utility2.0
Positioning5.7
Opening Duels2.3
Clutch1.6

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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.

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim6.5
Positioning5.7
Utility2.0
Mechanics5.7
Opening Duels2.3
Win Impact5.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time563ms−60ms
first ⅓ avg 622ms → last ⅓ avg 563ms
Headshot accuracy19.8%−5.6%
first ⅓ avg 25.3% → last ⅓ avg 19.8%

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

0.17Best match rating · 13–5 · mirage, 25 Aug
69%Best headshot accuracy · 11–13 · office, 15 Jul
344msFastest reaction time · 9–13 · office, 20 Aug
13–1Biggest win · dust2, 11 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
710In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 54% over 13officeWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2491538%0.00
mirageC1771041%-0.01
officeD1541127%-0.01
infernoB137654%0.00
anubisB115645%0.02
ancientD72529%-0.02
cacheD62433%-0.02
nuke42250%-0.02
vertigo32167%0.04

Across the last 100 tracked matches.

Lifetime stats

451,257Lifetime kills
2.30K/D · Top 1% of Blue band
11,010Matches
40.2%Match win rate
48.3%Headshot % · Top 25% of Blue band
18.8%Shot accuracy · Top 5% of Blue band
21,130MVPs
3,589Hours (in match)
6,872Bombs planted
1,601Bombs defused

Most-used weapons

Glock-18102,950
AK-4770,264
AWP57,598
Negev22,990
Knife19,604
AUG11,954
Tec-98,152

Lifetime map wins

16,189dust2
8,837inferno
5,097office
1,915nuke
1,505vertigo
805italy
744cbble
511train

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

Faceit stats

Combat

203Matches
53%Win rate
0.91Avg K/D
72.1ADR
49%Headshot %

Clutches & streaks

28%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4260%1.0714.4
Dust22658%0.8614.5
Ancient2255%1.0315.3
Inferno1963%0.9214.0
Vertigo1547%1.0114.1
Anubis1060%1.1215.4
Nuke743%0.8812.1
Cache10%0.6111.0

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.

20.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.8%Spray accuracy
75.6%Counter-strafing
11.8°Preaim
558msReaction time
29.5%T opening success
48.8%CT opening success
0.19Enemies flashed / flash
1.8%Flash assists
11.13HE damage / grenade
1.63Flashes / 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 0.1876 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 29.4783% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–60.0321%23 Sept
nuke9–13-0.0625%22 Sept
nuke16–130.0523%17 Sept
anubis13–100.0719%16 Sept
anubis8–130.0618%16 Sept
anubis9–130.0227%16 Sept
anubis7–130.0110%16 Sept
anubis12–12-0.0112%16 Sept
mirage13–110.0035%15 Sept
dust213–90.0113%15 Sept
mirage8–13-0.0214%15 Sept
dust26–13-0.0526%15 Sept
office12–12-0.0623%15 Sept
nuke13–11-0.0315%12 Sept
vertigo13–70.1016%12 Sept
dust25–13-0.027%12 Sept
office9–13-0.0217%11 Sept
inferno13–60.0714%9 Sept
dust210–13-0.0625%8 Sept
office13–11-0.0122%4 Sept
inferno9–70.0413%3 Sept
office13–20.1027%3 Sept
ancient5–130.0225%30 Aug
ancient16–14-0.0123%25 Aug
mirage13–50.1735%25 Aug
office9–13-0.0524%20 Aug
mirage7–13-0.0015%14 Aug
cache13–8-0.0318%12 Aug
inferno13–20.1215%12 Aug
mirage11–130.0518%12 Aug
dust26–130.0318%12 Aug
inferno13–10-0.0518%11 Aug
dust213–10.0619%11 Aug
dust213–30.1128%7 Aug
inferno3–13-0.0215%6 Aug
dust211–13-0.0626%6 Aug
mirage14–16-0.0316%6 Aug
office12–120.0018%6 Aug
office9–13-0.0323%6 Aug
ancient13–11-0.0722%31 Jul
cache10–13-0.0527%29 Jul
inferno13–16-0.0442%29 Jul
dust213–10.0434%29 Jul
mirage9–13-0.0236%29 Jul
vertigo11–13-0.0118%29 Jul
mirage11–13-0.0423%29 Jul
dust213–50.0420%28 Jul
dust29–13-0.0132%27 Jul
inferno13–90.0213%27 Jul
cache8–130.0126%26 Jul
anubis13–9-0.039%26 Jul
nuke14–16-0.0514%22 Jul
inferno8–13-0.036%22 Jul
office0–6-0.070%22 Jul
mirage6–13-0.0718%22 Jul
dust211–130.0244%22 Jul
anubis13–30.0726%21 Jul
inferno13–110.0020%21 Jul
dust213–10.0416%21 Jul
anubis9–13-0.0112%20 Jul
inferno2–13-0.0821%20 Jul
office3–13-0.089%20 Jul
cache3–13-0.0715%20 Jul
dust25–13-0.0129%20 Jul
dust29–13-0.0321%20 Jul
mirage12–12-0.028%20 Jul
mirage13–9-0.0510%20 Jul
mirage13–90.0132%17 Jul
mirage13–60.0123%16 Jul
office13–40.0331%16 Jul
mirage13–3-0.0623%16 Jul
dust213–60.0311%16 Jul
anubis7–13-0.0522%15 Jul
inferno10–13-0.0318%15 Jul
dust212–12-0.0850%15 Jul
dust213–4-0.0444%15 Jul
office6–13-0.0063%15 Jul
ancient6–130.0627%15 Jul
office12–120.0333%15 Jul
mirage13–70.0527%15 Jul
office11–13-0.0369%15 Jul
office6–13-0.0223%14 Jul
dust212–12-0.0510%14 Jul
inferno15–150.0117%13 Jul
dust27–130.1027%13 Jul
dust215–15-0.0532%13 Jul
ancient6–130.0025%13 Jul
cache9–130.0116%13 Jul
inferno13–80.0219%13 Jul
mirage6–13-0.0518%13 Jul
office13–100.0922%13 Jul
ancient1–13-0.060%13 Jul
cache13–10.0125%11 Jul
dust213–40.038%11 Jul
ancient4–13-0.0727%10 Jul
dust211–13-0.0318%10 Jul
dust214–160.0123%10 Jul
anubis13–100.0118%10 Jul
mirage6–13-0.069%10 Jul
anubis16–130.0528%10 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 →