iampatsn

iampatsn — CS2 Stats

DE76561197979248787[U:1:18983059]Steam profile ↗VAC banned

1,370Tracked matches27%Win rate2020Tracked since
2,826Hours in CS13Hrs last 2 wks
CSDB Rating3.0 LearningSupport
Premier CS Rating3,119Grey band · top ~86.8% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 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: 3,119 -537 14 Aug – 28 Sept · 20 days played
2,9393,835peak 3,83514 Aug28 Sept
3,908Peak Premier in tracked matches
19Days played since 2026-08-14

Premier CS Rating

  • 716 below peak (3,835)
  • -147 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,881 to go

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches52——
Win rate35%——
K/D0.68——
Headshot %67%——

Measured 30 Aug 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate46.3%38.2%39.9%above
Shot accuracy11.0%3.6%7.0%above
Kill/death ratio0.770.830.920.14 short
Match win rate41.8%40.2%42.3%meets

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

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

Share this profile

CSDB.GGiampatsnPREMIER3,119 · Grey 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

Aim28
Positioning31
Utility59

0–100 skill scores via Leetify.

Recent form

COLD31–68–1Last 10031%Win rateLWLWLLLWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +4.1pp headshot accuracy · −73ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 20%
  • Avg reaction 741ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 704ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 22%
  • Avg reaction 740ms

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 (+3.7 against its own average).

Aim2.8
Utility5.9
Positioning3.1
Opening Duels0.0
Clutch0.0

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 60% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 43% on T to 25% on CT — first contacts on the defending side are being lost.

Reaction time. 754ms 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

Aim2.8
Positioning3.1
Utility5.9
Mechanics5.3
Opening Duels1.6
Win Impact0.0

Composite 3.0/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time759ms−8ms
first ⅓ avg 766ms → last ⅓ avg 759ms
Headshot accuracy22.5%−0.8%
first ⅓ avg 23.3% → last ⅓ avg 22.5%

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

0.10Best match rating · 13–8 · mirage, 20 Aug →
67%Best headshot accuracy · 7–9 · inferno, 19 Aug →
500msFastest reaction time · 1–13 · anubis, 22 Sept →
13–1Biggest win · dust2, 18 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 56% over 9ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2D288–2029%-0.05
infernoD217–1433%-0.04
nukeD175–1229%-0.04
ancientD123–925%-0.07
mirageA95–456%-0.01
cacheD82–625%-0.05
anubis—41–325%-0.04
office—10–10%-0.09

Across the last 100 tracked matches.

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

Lifetime stats

50,999Lifetime kills
0.77K/D
3,480Matches
41.8%Match win rate · Top 50% of Grey band
46.3%Headshot % · Top 25% of Grey band
11.0%Shot accuracy · Top 25% of Grey band
7,031MVPs
1,507Hours (in match)
2,954Bombs planted
598Bombs defused

Most-used weapons

AK-4713,163
AWP3,382
MP73,176
FAMAS2,877
MAC-101,659

Lifetime map wins

8,549inferno
4,516dust2
2,795nuke
620cbble
484train
200vertigo
25italy
24dust

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

Faceit stats

Combat

29Matches
59%Win rate
0.80Avg K/D
64.3ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
67%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.6210.5
Ancient250%0.6910.0
Anubis1100%2.0016.0
Nuke10%0.314.0
Inferno1100%0.478.0
Dust210%0.3813.0

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.

22.1%Headshot accuracy
24.5%Accuracy (enemy spotted)
25.8%Spray accuracy
73.8%Counter-strafing
10.6°Preaim
754msReaction time
42.5%T opening success
25.0%CT opening success
0.59Enemies flashed / flash
1.3%Flash assists
9.74HE damage / grenade
8.19Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 754.4915ms — above the 700ms mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 24.9861% — 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0623%28 Sept →
cache13–9-0.0324%28 Sept →
dust29–13-0.0626%28 Sept →
dust29–5-0.0811%28 Sept →
mirage3–13-0.0516%28 Sept →
ancient10–13-0.0833%28 Sept →
office3–13-0.0930%28 Sept →
inferno9–70.0442%27 Sept →
nuke12–16-0.0319%27 Sept →
anubis1–13-0.0319%22 Sept →
nuke13–16-0.0526%21 Sept →
dust213–11-0.079%21 Sept →
ancient13–7-0.1129%20 Sept →
ancient8–13-0.0417%20 Sept →
nuke8–13-0.0724%17 Sept →
dust27–13-0.0215%17 Sept →
nuke11–13-0.0330%17 Sept →
inferno8–13-0.0918%17 Sept →
nuke0–13-0.0323%17 Sept →
mirage1–13-0.0413%17 Sept →
dust20–13-0.0625%17 Sept →
cache13–60.0312%17 Sept →
inferno13–9-0.0533%17 Sept →
nuke5–13-0.1025%17 Sept →
dust23–13-0.0222%17 Sept →
dust23–130.0226%16 Sept →
dust28–13-0.0822%16 Sept →
dust213–9-0.0914%16 Sept →
cache9–13-0.0833%16 Sept →
anubis4–13-0.0520%16 Sept →
nuke13–11-0.0418%16 Sept →
dust27–13-0.1024%16 Sept →
dust213–100.0320%16 Sept →
dust213–40.0320%16 Sept →
ancient4–13-0.0529%16 Sept →
inferno6–9-0.0538%16 Sept →
mirage1–13-0.0620%15 Sept →
inferno9–13-0.0319%15 Sept →
dust28–13-0.0729%15 Sept →
ancient4–13-0.0817%15 Sept →
nuke13–9-0.0117%8 Sept →
dust26–13-0.0224%8 Sept →
mirage13–10-0.0525%8 Sept →
inferno13–10-0.0416%8 Sept →
ancient10–13-0.0328%8 Sept →
mirage13–80.0823%8 Sept →
inferno1–9-0.119%8 Sept →
mirage11–13-0.0813%3 Sept →
inferno9–13-0.0516%29 Aug →
dust23–13-0.099%28 Aug →
dust22–13-0.1733%28 Aug →
cache0–13-0.0826%28 Aug →
cache7–13-0.0125%27 Aug →
dust211–13-0.0615%27 Aug →
nuke13–10-0.0210%27 Aug →
inferno9–5-0.0225%27 Aug →
anubis13–11-0.0426%27 Aug →
inferno13–6-0.006%27 Aug →
dust26–13-0.0453%27 Aug →
dust27–13-0.0223%27 Aug →
inferno8–13-0.0621%27 Aug →
inferno13–8-0.0117%27 Aug →
nuke7–13-0.0320%27 Aug →
dust213–3-0.0738%27 Aug →
cache5–13-0.1019%27 Aug →
ancient10–13-0.0413%26 Aug →
ancient3–13-0.1127%20 Aug →
nuke13–80.0519%20 Aug →
dust210–13-0.106%20 Aug →
cache13–16-0.0532%20 Aug →
mirage13–80.1028%20 Aug →
inferno10–130.0826%20 Aug →
inferno3–130.0029%20 Aug →
nuke7–13-0.0725%19 Aug →
mirage13–11-0.0715%19 Aug →
inferno7–13-0.0427%19 Aug →
mirage13–30.0721%19 Aug →
ancient8–13-0.1211%19 Aug →
nuke13–60.0136%19 Aug →
dust213–100.0428%19 Aug →
anubis14–16-0.0516%19 Aug →
inferno5–13-0.0920%19 Aug →
inferno7–9-0.0425%19 Aug →
nuke6–13-0.1029%19 Aug →
inferno7–9-0.1267%19 Aug →
nuke5–13-0.059%19 Aug →
dust28–13-0.0722%18 Aug →
dust213–1-0.0425%18 Aug →
ancient8–130.0134%15 Aug →
dust29–13-0.0717%15 Aug →
ancient13–8-0.097%15 Aug →
cache7–13-0.0718%14 Aug →
nuke15–15-0.0220%14 Aug →
nuke9–13-0.0126%14 Aug →
ancient13–7-0.0628%14 Aug →
inferno16–14-0.0421%14 Aug →
dust28–13-0.0625%14 Aug →
inferno9–13-0.0015%14 Aug →
dust28–13-0.0422%14 Aug →
inferno4–9-0.0822%14 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 →

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