PRKL

PRKL — CS2 Stats

76561198273941404[U:1:313675676]Steam profile ↗✓ No bans

105Tracked matches45%Win rate2022Tracked since
CSDB Rating5.2 DevelopingAll-Rounder
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,018 +2,362 16 Jul – 9 Jun · 17 days played
8,37017,831peak 17,83116 Jul9 Jun
18,193Peak Premier in tracked matches
45Days played since 2023-03-21

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

Performance scores

Aim64
Positioning54
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWTLLWLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.1pp headshot accuracy · −16ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 557ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 565ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility5.1
Positioning5.4
Opening Duels3.7

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

m0NESY

Plays most like m0NESY 87% 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. 569ms 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

Aim6.4
Positioning5.4
Utility5.1
Mechanics5.2
Opening Duels3.7
Win Impact3.3

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time581ms−45ms
first ⅓ avg 626ms → last ⅓ avg 581ms
Headshot accuracy19.0%−4.4%
first ⅓ avg 23.4% → last ⅓ avg 19.0%

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

0.17Best match rating · 9–7 · nuke, 24 Aug →
48%Best headshot accuracy · 8–13 · inferno, 11 Dec →
430msFastest reaction time · 13–7 · cache, 4 Nov →
16–2Biggest win · cache, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 57% over 7dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%0.00
nukeA1810–856%0.02
mirageB158–753%0.02
dust2D103–730%-0.01
overpassC94–544%-0.01
anubisC73–443%-0.00
ancientA74–357%0.02
cacheB63–350%0.03
train—21–150%0.01
vertigo—20–20%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches
46%Win rate
1.05Avg K/D
—ADR
26%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

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.

18.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.3%Spray accuracy
73.3%Counter-strafing
8.5°Preaim
569msReaction time
39.1%T opening success
50.7%CT opening success
0.49Enemies flashed / flash
2.4%Flash assists
7.99HE damage / grenade
18.20Flashes / 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. 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 0.486 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 39.1258% — below the 40% mark we flag

Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–16-0.0314%4 Nov →
cache13–70.068%4 Nov →
cache15–15-0.0322%3 Nov →
cache11–130.0015%3 Nov →
dust29–13-0.0621%3 Nov →
dust213–110.0113%3 Nov →
dust23–13-0.047%3 Nov →
ancient3–13-0.0325%3 Nov →
nuke13–70.1111%3 Nov →
inferno13–5-0.0427%1 Nov →
ancient6–13-0.0213%1 Nov →
ancient13–30.0520%1 Nov →
cache13–30.0329%1 Nov →
overpass13–110.0723%9 Jun →
cache8–13-0.0317%7 Jun →
overpass6–130.0117%29 Mar →
mirage4–13-0.0816%29 Mar →
anubis9–130.0117%27 Mar →
inferno1–90.0233%27 Mar →
inferno13–100.0418%27 Mar →
anubis13–80.0318%27 Mar →
nuke11–13-0.048%25 Mar →
overpass8–13-0.044%25 Mar →
inferno13–90.0120%25 Mar →
inferno5–90.0312%23 Mar →
inferno9–60.0425%23 Mar →
nuke13–90.0715%23 Mar →
inferno6–130.0524%8 Mar →
ancient13–100.0426%8 Mar →
nuke7–130.0029%8 Mar →
inferno16–12-0.0119%8 Mar →
anubis6–130.0426%8 Mar →
overpass3–13-0.0137%7 Mar →
anubis13–8-0.0516%7 Mar →
nuke15–15-0.0519%10 Jan →
mirage4–13-0.077%10 Jan →
inferno3–13-0.0620%10 Jan →
mirage13–11-0.0518%10 Jan →
overpass13–10-0.0427%10 Jan →
inferno7–13-0.0710%9 Jan →
mirage13–50.0319%30 Sept →
dust28–130.0317%29 Sept →
dust21–13-0.0113%20 Sept →
inferno13–3-0.0819%18 Sept →
train10–13-0.0418%2 Sept →
overpass11–130.0022%2 Sept →
mirage13–50.1111%2 Sept →
inferno13–5-0.0024%2 Sept →
nuke2–130.0133%2 Sept →
inferno2–13-0.0522%21 Aug →
overpass13–8-0.0121%21 Aug →
nuke13–9-0.0314%21 Aug →
nuke13–11-0.0215%21 Aug →
nuke13–5-0.0614%8 Aug →
inferno9–13-0.0010%8 Aug →
mirage13–100.0025%8 Aug →
overpass13–11-0.0332%8 Aug →
mirage4–130.0719%7 Aug →
inferno0–2-0.150%6 Aug →
train13–80.0635%6 Aug →
inferno13–40.1630%6 Aug →
vertigo14–160.0022%6 Jan →
ancient12–160.0420%6 Jan →
mirage13–30.1235%23 Dec →
inferno6–130.1020%21 Dec →
nuke16–140.0525%20 Dec →
inferno13–100.1424%20 Dec →
mirage13–60.0731%20 Dec →
dust25–130.0226%15 Dec →
inferno13–110.0921%15 Dec →
inferno8–13-0.0448%11 Dec →
nuke13–30.0524%11 Dec →
ancient13–80.0724%11 Dec →
mirage6–13-0.036%3 Dec →
mirage13–40.0231%2 Dec →
nuke13–70.0422%2 Dec →
anubis13–70.0824%2 Dec →
ancient13–9-0.0224%3 Nov →
dust25–13-0.0425%3 Nov →
inferno13–100.0232%3 Nov →
mirage15–150.0724%3 Nov →
mirage13–00.0723%3 Nov →
dust29–13-0.0726%1 Nov →
vertigo11–13-0.0521%22 Oct →
anubis4–13-0.1123%22 Oct →
inferno8–13-0.0718%22 Oct →
nuke5–13-0.1116%15 Sept →
mirage10–13-0.0428%20 Jul →
dust213–20.0629%20 Jul →
nuke8–13-0.0119%20 Jul →
inferno7–130.0114%16 Jul →
overpass3–13-0.0217%8 Mar →
nuke13–90.0629%24 Feb →
nuke12–160.0816%6 Jan →
inferno5–9-0.0624%19 Dec →
nuke9–13-0.0020%17 Dec →
cache16–20.1217%4 Sept →
nuke9–70.1719%24 Aug →
dust29–60.0337%29 Jul →
mirage12–16-0.0115%21 Mar →

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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