Purtzi☂

Purtzi☂ — CS2 Stats

76561198060428763[U:1:100163035]Steam profile ↗✓ No bans

1,547Tracked matches30%Win rate2020Tracked since
1,877Hours in CS
CSDB Rating3.6 LearningSupport
FaceitLevel 6 · 1,534 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,459 +1,960 12 Apr – 3 Jul · 25 days played
15,00019,219peak 19,21912 Apr3 Jul
19,403Peak Premier in tracked matches
1,534Highest Faceit ELO seen on CSDB
50Days played since 2026-04-12

Faceit ELO

  • At peak — 1,534
  • Next: Level 9 at 1,751 — 217 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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 Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate35.1%44.8%45.7%10.6% short
Shot accuracy13.3%12.4%12.7%above
Kill/death ratio0.861.031.050.19 short
Match win rate43.0%45.2%45.7%2.6% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPurtzi☂FACEITLevel 6 · 1,534 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,534csdb.gg/stats

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Performance scores

Aim50
Positioning35
Utility53

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLLLLLLLLL

Last 10 vs previous 10: −50pp win rate · +0.01 avg rating · +2.2pp headshot accuracy · −59ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 542ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 536ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 566ms

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 (+2.2 against its own average).

Aim5.0
Utility5.3
Positioning3.5
Opening Duels0.3
Clutch3.2

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 76% 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

Reaction time. 591ms 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

Aim5.0
Positioning3.5
Utility5.3
Mechanics5.5
Opening Duels0.0
Win Impact0.0

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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time593ms−36ms
first ⅓ avg 629ms → last ⅓ avg 593ms
Headshot accuracy12.2%−0.0%
first ⅓ avg 12.2% → last ⅓ avg 12.2%

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

0.11Best match rating · 13–10 · anubis, 22 Apr →
25%Best headshot accuracy · 9–13 · inferno, 16 Apr →
438msFastest reaction time · 13–8 · inferno, 21 Apr →
13–2Biggest win · cache, 16 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L10Current streak
4–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 61% over 18cacheWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.00
infernoA1811–761%-0.01
cacheD153–1220%-0.02
ancientB157–847%-0.01
anubisD93–633%0.01
dust2A74–357%0.01
nukeC73–443%-0.02
overpass—41–325%-0.03
boulder—11–0100%0.04
shelter—10–10%-0.11

Across the last 100 tracked matches.

Lifetime stats

69,095Lifetime kills
0.86K/D
4,325Matches
43.0%Match win rate
35.1%Headshot %
13.3%Shot accuracy · Top 50% of Level 6 players
7,617MVPs
1,877Hours (in match)
1,987Bombs planted
1,243Bombs defused

Most-used weapons

AK-4718,102
AWP5,781
MP92,615
MAC-102,250
P2501,582

Lifetime map wins

6,689inferno
4,253nuke
3,856dust2
2,529vertigo
2,025train
416office
67safehouse
60cbble

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

Faceit stats

Combat

548Matches
51%Win rate
0.84Avg K/D
72.5ADR
32%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno10058%0.8413.7
Ancient5850%0.9013.1
Nuke4448%0.8814.4
Mirage4344%0.9213.6
Overpass4163%0.8313.8
Dust22744%0.8512.7
Train2361%0.9513.7
Anubis1242%0.7211.3

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.

12.4%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.4%Spray accuracy
74.9%Counter-strafing
13.6°Preaim
591msReaction time
19.1%T opening success
29.3%CT opening success
0.42Enemies flashed / flash
6.4%Flash assists
10.88HE damage / grenade
7.80Flashes / 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 13.6341° — 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 12.3923% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4242 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0615%30 Oct →
anubis9–130.0214%30 Oct →
dust23–110.0818%10 Oct →
inferno8–13-0.053%4 Sept →
cache10–13-0.0410%31 Aug →
inferno9–13-0.0512%27 Aug →
anubis3–13-0.0414%27 Aug →
cache10–13-0.0118%21 Aug →
inferno6–130.0221%20 Aug →
cache8–13-0.0522%18 Aug →
nuke13–10-0.027%18 Aug →
overpass2–13-0.0611%17 Aug →
nuke13–10-0.0414%16 Aug →
cache11–13-0.096%16 Aug →
inferno13–10-0.0212%10 Aug →
mirage8–13-0.0510%10 Aug →
boulder13–70.0424%30 Jul →
shelter3–13-0.1118%29 Jul →
cache5–130.0111%29 Jul →
mirage13–50.0113%28 Jul →
inferno9–13-0.0013%27 Jul →
mirage13–9-0.0210%22 Jul →
cache9–13-0.019%20 Jul →
anubis11–130.0113%18 Jul →
anubis6–13-0.056%17 Jul →
mirage13–100.0115%16 Jul →
cache13–80.0413%16 Jul →
ancient2–13-0.033%16 Jul →
cache13–20.056%16 Jul →
mirage7–13-0.0016%12 Jul →
inferno16–12-0.0210%5 Jul →
mirage12–160.0110%3 Jul →
ancient3–13-0.0111%3 Jul →
dust29–13-0.0116%3 Jul →
anubis13–10-0.039%3 Jul →
mirage13–10-0.036%3 Jul →
nuke15–15-0.0210%3 Jul →
ancient7–13-0.025%2 Jul →
inferno13–8-0.0712%2 Jul →
ancient13–11-0.017%1 Jul →
overpass3–13-0.0310%1 Jul →
inferno13–3-0.0211%1 Jul →
cache10–13-0.0113%26 Jun →
cache9–13-0.120%26 Jun →
mirage13–60.0717%15 Jun →
ancient7–13-0.0310%14 Jun →
nuke14–16-0.0216%14 Jun →
ancient2–13-0.078%14 Jun →
inferno13–110.0413%2 Jun →
mirage13–16-0.027%2 Jun →
inferno13–100.028%27 May →
ancient13–20.0211%27 May →
anubis10–130.0513%27 May →
overpass13–40.0111%27 May →
mirage9–13-0.0415%21 May →
ancient13–80.026%20 May →
ancient14–16-0.0119%19 May →
mirage13–10-0.0516%19 May →
ancient13–110.0515%11 May →
mirage0–13-0.018%11 May →
cache6–13-0.0417%11 May →
cache3–13-0.086%6 May →
inferno13–110.0610%5 May →
mirage13–100.0618%5 May →
cache12–120.0218%4 May →
ancient11–13-0.0315%4 May →
dust216–120.0124%3 May →
cache13–20.0613%3 May →
cache12–12-0.0211%2 May →
mirage8–13-0.0013%24 Apr →
ancient13–70.0211%24 Apr →
nuke13–7-0.0515%22 Apr →
anubis13–100.118%22 Apr →
dust213–80.0210%22 Apr →
inferno13–4-0.033%22 Apr →
dust27–130.0411%22 Apr →
anubis13–60.0110%21 Apr →
mirage6–13-0.0013%21 Apr →
mirage13–80.0222%21 Apr →
inferno13–8-0.069%21 Apr →
overpass7–13-0.0513%21 Apr →
inferno13–100.0010%20 Apr →
mirage15–15-0.0111%19 Apr →
mirage9–130.0317%19 Apr →
nuke11–130.0713%19 Apr →
mirage7–13-0.0514%19 Apr →
nuke1–13-0.0715%18 Apr →
inferno9–13-0.0425%16 Apr →
mirage11–13-0.0218%16 Apr →
inferno15–150.049%16 Apr →
ancient14–16-0.0110%15 Apr →
dust213–9-0.0312%15 Apr →
mirage9–130.0316%15 Apr →
mirage13–90.0714%14 Apr →
anubis6–130.018%13 Apr →
inferno13–10-0.0115%13 Apr →
ancient13–40.018%13 Apr →
inferno11–13-0.0210%13 Apr →
dust213–10-0.028%13 Apr →
ancient13–40.029%12 Apr →

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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