*PACO* ~SIIN~

*PACO* ~SIIN~ — CS2 Stats

76561197960943356[U:1:677628]Steam profile ↗✓ No bans

1,432Tracked matches36%Win rate2020Tracked since
4,090Hours in CS10Hrs last 2 wks
CSDB Rating3.6 LearningSupport
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (4 days ago). 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: 10,000 +3,644 1 Aug – 13 Oct · 40 days played
6,35612,564peak 12,5641 Aug13 Oct
12,925Peak Premier in tracked matches
41Days played since 2026-08-01

Premier CS Rating

  • 2,564 below peak (12,564)
  • +122 over 30 days · steady
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: 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 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 rate32.6%42.0%44.3%11.8% short
Shot accuracy19.8%9.6%11.9%above
Kill/death ratio1.020.981.03meets
Match win rate11.8%43.8%45.2%33.4% short

This profile matches the typical Purple band player on 2 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*PACO* ~SIIN~PREMIER10,000 · 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

Aim42
Positioning42
Utility51

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateLLLLWWTLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.8pp headshot accuracy · −1ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 569ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 584ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 584ms

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 (+2 against its own average).

Aim4.2
Utility5.1
Positioning4.2
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.

Your pro match

Twistzz

Plays most like Twistzz 73% 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. 578ms 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

Aim4.2
Positioning4.2
Utility5.1
Mechanics4.7
Opening Duels1.6
Win Impact0.2

Composite 3.6/10 (Learning), 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 rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time580ms−51ms
first ⅓ avg 631ms → last ⅓ avg 580ms
Headshot accuracy11.3%+0.9%
first ⅓ avg 10.4% → last ⅓ avg 11.3%

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

0.09Best match rating · 13–3 · anubis, 2 Sept →
25%Best headshot accuracy · 13–5 · nuke, 15 Sept →
445msFastest reaction time · 11–13 · inferno, 21 Sept →
13–0Biggest win · inferno, 15 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
9–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 60% over 15mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
anubisC219–1243%-0.03
ancientB2111–1052%-0.03
infernoA169–756%-0.02
cacheA159–660%-0.01
nukeA148–657%-0.05
mirageC83–538%-0.04
dust2—43–175%0.01
office—10–10%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

492,572Lifetime kills
1.02K/D · Top 50% of Blue band
12,195Matches
11.8%Match win rate
32.6%Headshot %
19.8%Shot accuracy · Top 5% of Blue band
5,595MVPs
3,133Hours (in match)
4,469Bombs planted
568Bombs defused

Most-used weapons

Knife36,613
P25033,266
MP721,419
MP919,886
MAC-1018,832
Tec-918,141

Lifetime map wins

7,824dust2
3,333inferno
2,489nuke
2,080vertigo
534train
192office
97italy
72cbble

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.

11.0%Headshot accuracy
35.0%Accuracy (enemy spotted)
35.5%Spray accuracy
71.2%Counter-strafing
13.4°Preaim
578msReaction time
42.5%T opening success
28.9%CT opening success
0.60Enemies flashed / flash
4.8%Flash assists
7.42HE damage / grenade
9.75Flashes / 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 13.3849° — 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 10.9697% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0016%13 Oct →
cache6–13-0.1012%9 Oct →
ancient14–16-0.027%9 Oct →
ancient10–13-0.056%8 Oct →
ancient16–130.0412%7 Oct →
anubis13–11-0.0410%7 Oct →
anubis15–15-0.109%6 Oct →
cache11–13-0.0512%5 Oct →
inferno13–11-0.0511%2 Oct →
cache8–13-0.0613%2 Oct →
ancient8–13-0.0312%2 Oct →
dust26–13-0.0311%1 Oct →
anubis13–8-0.079%1 Oct →
anubis13–11-0.0214%1 Oct →
anubis13–16-0.0313%30 Sept →
nuke7–13-0.088%30 Sept →
anubis14–16-0.0413%23 Sept →
cache13–16-0.068%22 Sept →
anubis15–15-0.0312%22 Sept →
anubis2–13-0.1016%22 Sept →
cache16–120.0421%21 Sept →
nuke1–13-0.0710%21 Sept →
inferno11–13-0.0611%21 Sept →
ancient5–13-0.093%21 Sept →
ancient13–10-0.0715%21 Sept →
ancient13–9-0.027%19 Sept →
nuke8–13-0.087%19 Sept →
anubis13–80.059%19 Sept →
ancient11–13-0.0410%18 Sept →
nuke13–6-0.017%18 Sept →
nuke13–4-0.0515%18 Sept →
anubis13–10-0.0217%18 Sept →
anubis10–13-0.0715%17 Sept →
ancient9–130.0116%17 Sept →
ancient13–8-0.016%17 Sept →
mirage13–10-0.0117%16 Sept →
mirage13–5-0.0218%16 Sept →
mirage9–6-0.059%16 Sept →
nuke13–50.0625%15 Sept →
inferno13–0-0.050%15 Sept →
cache13–70.022%15 Sept →
mirage15–150.0119%14 Sept →
anubis11–13-0.0012%13 Sept →
nuke13–6-0.0715%12 Sept →
anubis13–4-0.0116%12 Sept →
inferno13–10-0.0212%12 Sept →
mirage5–13-0.0417%12 Sept →
inferno13–10.0422%12 Sept →
ancient16–14-0.0410%10 Sept →
cache13–8-0.0012%10 Sept →
nuke13–8-0.0312%10 Sept →
office12–12-0.006%5 Sept →
cache13–80.0418%5 Sept →
mirage9–13-0.0813%5 Sept →
cache11–13-0.038%5 Sept →
ancient10–130.0310%5 Sept →
ancient13–50.0210%4 Sept →
inferno13–5-0.0114%4 Sept →
ancient11–13-0.098%3 Sept →
cache13–2-0.0310%3 Sept →
inferno13–110.0019%2 Sept →
anubis13–30.0918%2 Sept →
anubis13–4-0.009%2 Sept →
ancient5–13-0.0812%31 Aug →
dust213–100.086%29 Aug →
cache9–13-0.0616%27 Aug →
nuke13–6-0.0521%27 Aug →
nuke12–12-0.077%25 Aug →
inferno9–13-0.0914%22 Aug →
cache13–6-0.0210%19 Aug →
nuke13–7-0.0410%19 Aug →
nuke10–13-0.0614%15 Aug →
inferno8–13-0.025%11 Aug →
anubis6–13-0.0811%11 Aug →
inferno9–13-0.0510%8 Aug →
inferno6–13-0.0715%8 Aug →
inferno13–11-0.0312%8 Aug →
inferno10–130.0115%7 Aug →
dust213–10-0.038%7 Aug →
inferno11–13-0.0413%7 Aug →
nuke1–13-0.083%6 Aug →
ancient7–1-0.0610%6 Aug →
ancient13–7-0.0112%6 Aug →
nuke16–12-0.054%6 Aug →
mirage10–13-0.068%5 Aug →
dust216–140.0411%5 Aug →
ancient13–9-0.0111%5 Aug →
inferno13–100.0314%4 Aug →
cache13–30.036%4 Aug →
anubis8–13-0.037%4 Aug →
cache16–140.0915%4 Aug →
anubis10–13-0.049%3 Aug →
anubis13–60.013%3 Aug →
ancient13–50.049%3 Aug →
ancient5–13-0.0812%2 Aug →
inferno13–70.0219%2 Aug →
ancient13–8-0.0015%2 Aug →
mirage10–13-0.064%1 Aug →
anubis9–13-0.029%1 Aug →
cache16–140.0119%1 Aug →

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.