Big G

Big G — CS2 Stats

76561197963544307[U:1:3278579]Steam profile ↗✓ No bans

797Tracked matches52%Win rate2023Tracked since
CSDB Rating2.4 LearningSupport
Premier CS Rating7,948Light Blue band · top ~64.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,948 +3,945 27 Aug – 13 Nov · 35 days played
3,9127,948peak 7,94827 Aug13 Nov
8,282Peak Premier in tracked matches
35Days played since 2026-08-27

Premier CS Rating

  • At peak — 7,948
  • +3,818 over 30 days · improving
  • +3,945 over 90 days
  • Next: Blue band at 10,000 — 2,052 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGBig GPREMIER7,948 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim11
Positioning30
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLLWLWLWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · +36ms reaction

Win rate 0pp 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 -0.06
  • Avg headshot accuracy 5%
  • Avg reaction 633ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 5%
  • Avg reaction 617ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 6%
  • Avg reaction 599ms

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: Support — Utility contribution stands above the rest of this profile (+3 against its own average).

Aim1.1
Utility6.0
Positioning3.0
Opening Duels0.0

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.

Strengths & areas to improve

Areas to improve

Reaction time. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.1
Positioning3.0
Utility6.0
Mechanics2.1
Opening Duels0.0
Win Impact5.6

Composite 2.4/10 (Learning), 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 rating-0.04−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time618ms+29ms
first ⅓ avg 589ms → last ⅓ avg 618ms
Headshot accuracy7.1%−0.5%
first ⅓ avg 7.6% → last ⅓ avg 7.1%

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

0.06Best match rating · 13–7 · cache, 10 Sept →
23%Best headshot accuracy · 13–9 · anubis, 11 Oct →
398msFastest reaction time · 13–3 · inferno, 31 Aug →
13–1Biggest win · cache, 27 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 9ancientWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2011–955%-0.03
anubisS1711–665%-0.02
ancientC177–1041%-0.05
dust2C146–843%-0.05
mirageA148–657%-0.04
cacheA95–456%-0.03
nukeS96–367%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

6.6%Headshot accuracy
27.3%Accuracy (enemy spotted)
32.3%Spray accuracy
59.3%Counter-strafing
15.6°Preaim
611msReaction time
28.1%T opening success
16.3%CT opening success
0.57Enemies flashed / flash
7.0%Flash assists
6.94HE damage / grenade
10.37Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.6258° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 6.5611% — below the 15% mark we flag

    Aim Training →
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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.127%13 Nov →
dust23–13-0.063%13 Nov →
anubis13–2-0.026%13 Nov →
cache9–13-0.083%13 Nov →
ancient13–4-0.027%13 Nov →
mirage4–13-0.073%11 Nov →
cache13–5-0.058%11 Nov →
nuke13–6-0.034%11 Nov →
anubis10–13-0.064%10 Nov →
mirage13–6-0.004%10 Nov →
ancient8–13-0.0513%10 Nov →
inferno13–40.015%6 Nov →
anubis13–70.008%6 Nov →
mirage2–13-0.0910%6 Nov →
mirage13–7-0.057%6 Nov →
anubis9–13-0.063%5 Nov →
nuke15–15-0.086%5 Nov →
ancient13–7-0.036%4 Nov →
dust210–130.0013%4 Nov →
dust213–5-0.064%2 Nov →
dust213–6-0.0819%2 Nov →
anubis13–6-0.014%2 Nov →
mirage8–13-0.130%30 Oct →
dust213–9-0.058%30 Oct →
mirage13–80.014%30 Oct →
anubis13–4-0.023%27 Oct →
mirage8–13-0.043%27 Oct →
anubis9–13-0.0111%26 Oct →
ancient2–13-0.0214%26 Oct →
anubis11–130.038%26 Oct →
dust213–80.0511%25 Oct →
anubis13–4-0.0114%25 Oct →
mirage13–3-0.0513%25 Oct →
mirage13–7-0.0510%22 Oct →
cache13–60.0621%22 Oct →
anubis13–7-0.068%22 Oct →
ancient7–13-0.100%21 Oct →
inferno16–13-0.1013%21 Oct →
nuke13–9-0.019%20 Oct →
anubis13–10-0.119%16 Oct →
dust213–11-0.0110%16 Oct →
nuke13–9-0.030%16 Oct →
nuke13–11-0.074%16 Oct →
anubis13–70.065%15 Oct →
anubis4–13-0.154%15 Oct →
inferno2–13-0.0317%15 Oct →
inferno10–130.016%13 Oct →
dust23–13-0.090%13 Oct →
cache5–13-0.005%13 Oct →
inferno13–9-0.024%12 Oct →
ancient4–13-0.060%12 Oct →
anubis13–90.0223%11 Oct →
inferno11–130.0115%11 Oct →
mirage13–8-0.0211%11 Oct →
inferno13–6-0.055%10 Oct →
ancient11–13-0.074%10 Oct →
inferno13–16-0.0311%10 Oct →
mirage13–7-0.009%10 Oct →
dust213–6-0.050%10 Oct →
inferno3–13-0.1018%9 Oct →
dust213–16-0.078%9 Oct →
anubis13–6-0.035%9 Oct →
mirage16–120.037%9 Oct →
inferno13–8-0.023%8 Oct →
mirage4–13-0.0815%5 Oct →
ancient13–5-0.027%5 Oct →
inferno13–9-0.056%5 Oct →
inferno10–130.0310%3 Oct →
cache13–11-0.0811%2 Oct →
dust210–13-0.110%2 Oct →
ancient11–13-0.083%2 Oct →
dust210–13-0.030%2 Oct →
ancient13–9-0.023%2 Oct →
inferno1–13-0.046%2 Oct →
inferno13–9-0.0411%2 Oct →
ancient13–40.029%26 Sept →
ancient13–8-0.007%26 Sept →
inferno15–15-0.026%25 Sept →
dust215–15-0.072%23 Sept →
mirage6–13-0.038%23 Sept →
anubis5–13-0.0212%22 Sept →
inferno13–7-0.038%22 Sept →
ancient9–13-0.0920%22 Sept →
ancient13–6-0.059%18 Sept →
ancient6–130.0013%11 Sept →
inferno5–13-0.070%11 Sept →
nuke4–13-0.0511%11 Sept →
ancient5–13-0.0717%11 Sept →
inferno13–70.043%11 Sept →
cache7–13-0.1012%11 Sept →
nuke13–7-0.059%10 Sept →
cache13–70.0610%10 Sept →
anubis13–30.0112%1 Sept →
ancient3–13-0.1110%1 Sept →
nuke16–14-0.045%1 Sept →
cache11–13-0.084%31 Aug →
inferno13–3-0.018%31 Aug →
inferno11–4-0.040%27 Aug →
cache13–10.047%27 Aug →
nuke11–130.037%27 Aug →

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 →

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