Pig ♡

Pig ♡ — CS2 Stats

76561198209856955[U:1:249591227]Steam profile ↗✓ No bans

301Tracked matches43%Win rate2020Tracked since
916Hours in CS18Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Premier CS Rating7,226Light Blue band · top ~68.2% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 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: 7,226 -153 20 Sept – 18 Oct · 25 days played
7,2269,610peak 9,61020 Sept18 Oct
9,725Peak Premier in tracked matches
27Days played since 2026-09-20

Premier CS Rating

  • 2,384 below peak (9,610)
  • -153 over 30 days · steady
  • Next: Blue band at 10,000 — 2,774 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate31.7%39.9%42.0%10.3% short
Shot accuracy14.2%7.0%9.6%above
Kill/death ratio0.770.920.980.21 short
Match win rate36.8%42.3%43.8%7.0% short

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

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

Share this profile

CSDB.GGPig ♡PREMIER7,226 · Light Blue bandcsdb.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

Aim49
Positioning35
Utility31

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLLLWLWLLWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +4.9pp headshot accuracy · −77ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 583ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 621ms

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 (+1.3 against its own average).

Aim4.9
Utility3.1
Positioning3.5
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 92% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.9
Positioning3.5
Utility3.1
Mechanics4.3
Opening Duels0.0
Win Impact2.6

Composite 3.2/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time628ms+39ms
first ⅓ avg 589ms → last ⅓ avg 628ms
Headshot accuracy10.4%−3.0%
first ⅓ avg 13.4% → last ⅓ avg 10.4%

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 · 11–13 · anubis, 3 Oct →
27%Best headshot accuracy · 3–8 · cache, 22 Sept →
484msFastest reaction time · 7–13 · nuke, 26 Sept →
13–1Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
2–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 67% over 15infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%-0.02
mirageS1510–567%0.03
nukeA159–660%0.02
cacheC135–838%-0.02
infernoD123–925%-0.02
anubisD124–833%0.00
ancientC94–544%0.04
office—20–20%-0.02
debris—10–10%-0.08
train—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,796Lifetime kills
0.77K/D
1,320Matches
36.8%Match win rate
31.7%Headshot %
14.2%Shot accuracy · Top 25% of Light Blue band
1,707MVPs
472Hours (in match)
1,114Bombs planted
285Bombs defused

Most-used weapons

Lifetime map wins

3,087dust2
860inferno
521nuke
386office
316vertigo
84train
48lake
35cbble

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.

10.7%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.2%Spray accuracy
69.2%Counter-strafing
10.5°Preaim
614msReaction time
17.9%T opening success
23.3%CT opening success
0.52Enemies flashed / flash
5.4%Flash assists
7.60HE damage / grenade
2.31Flashes / 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. 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 10.7218% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.3138 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 17.8862% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–130.016%18 Oct →
inferno5–13-0.079%17 Oct →
ancient5–130.018%16 Oct →
dust213–60.0523%16 Oct →
anubis11–13-0.0426%14 Oct →
cache13–80.0614%14 Oct →
mirage7–13-0.0117%14 Oct →
dust213–16-0.039%14 Oct →
inferno13–80.0310%13 Oct →
mirage12–16-0.0111%12 Oct →
ancient12–12-0.029%11 Oct →
inferno8–8-0.1010%11 Oct →
cache3–13-0.085%10 Oct →
dust213–40.0511%10 Oct →
dust24–130.052%10 Oct →
nuke7–13-0.004%9 Oct →
dust27–10.0114%9 Oct →
mirage13–40.0813%8 Oct →
nuke11–50.018%8 Oct →
anubis13–50.039%8 Oct →
anubis15–150.027%8 Oct →
nuke8–130.0312%8 Oct →
debris3–9-0.080%8 Oct →
nuke9–50.1115%8 Oct →
nuke16–13-0.0014%7 Oct →
mirage9–130.045%6 Oct →
ancient10–130.035%6 Oct →
dust27–13-0.0811%4 Oct →
mirage13–4-0.0410%3 Oct →
anubis13–8-0.069%3 Oct →
anubis13–10.1112%3 Oct →
anubis11–13-0.0516%3 Oct →
anubis11–130.1411%3 Oct →
inferno9–13-0.048%2 Oct →
dust213–8-0.0310%2 Oct →
nuke11–13-0.0013%1 Oct →
dust213–90.0214%1 Oct →
anubis10–13-0.0416%1 Oct →
nuke3–130.027%30 Sept →
anubis7–13-0.0123%30 Sept →
inferno11–4-0.028%29 Sept →
nuke3–130.000%29 Sept →
dust28–13-0.0111%29 Sept →
inferno9–130.0416%29 Sept →
inferno7–13-0.0220%28 Sept →
dust213–9-0.0113%27 Sept →
nuke13–30.1118%27 Sept →
ancient13–30.0620%27 Sept →
anubis7–13-0.056%27 Sept →
dust213–5-0.0224%27 Sept →
inferno13–11-0.0312%27 Sept →
dust213–70.0011%27 Sept →
cache3–13-0.074%27 Sept →
dust213–6-0.039%27 Sept →
dust22–13-0.0612%26 Sept →
nuke7–13-0.0310%26 Sept →
mirage13–70.0315%26 Sept →
anubis15–15-0.0311%25 Sept →
dust22–13-0.0310%25 Sept →
cache2–13-0.1111%25 Sept →
cache11–13-0.029%25 Sept →
inferno8–130.0715%25 Sept →
nuke13–10.0117%24 Sept →
inferno2–13-0.0716%24 Sept →
mirage13–5-0.008%24 Sept →
dust210–13-0.0213%24 Sept →
mirage13–100.0311%24 Sept →
inferno7–130.0212%24 Sept →
mirage13–100.0515%23 Sept →
nuke13–100.0313%23 Sept →
cache13–100.0111%23 Sept →
cache13–2-0.008%23 Sept →
mirage13–30.1111%23 Sept →
cache3–13-0.1012%23 Sept →
office2–13-0.0313%23 Sept →
train13–40.0213%23 Sept →
office2–9-0.0013%23 Sept →
ancient8–130.048%22 Sept →
dust26–13-0.0623%22 Sept →
mirage2–13-0.0418%22 Sept →
mirage13–110.045%22 Sept →
cache3–8-0.0127%22 Sept →
inferno7–13-0.0411%22 Sept →
anubis13–20.0018%22 Sept →
dust211–13-0.0515%22 Sept →
ancient13–80.0915%22 Sept →
mirage5–13-0.009%22 Sept →
ancient13–60.0713%22 Sept →
nuke13–80.0214%22 Sept →
dust216–13-0.0415%21 Sept →
cache13–10-0.027%21 Sept →
cache14–16-0.059%21 Sept →
dust213–4-0.0118%21 Sept →
mirage13–50.118%21 Sept →
nuke13–30.0120%20 Sept →
ancient13–70.069%20 Sept →
nuke13–8-0.0115%20 Sept →
cache13–70.0122%20 Sept →
mirage13–80.009%20 Sept →
cache6–130.0718%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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