Parkesy

Parkesy — CS2 Stats

GB76561198122550107[U:1:162284379]Steam profile ↗✓ No bans

193Tracked matches54%Win rate2021Tracked since
584Hours in CS6Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating8,684Light Blue band · top ~61.2% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGParkesyPREMIER8,684 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim76
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWWLLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.9pp headshot accuracy · −29ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 589ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 618ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 632ms

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 (+2.5 against its own average).

Aim7.6
Utility5.9
Positioning5.2
Opening Duels2.6
Clutch0.0

Strong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim7.6
Positioning5.2
Utility5.9
Mechanics7.3
Opening Duels2.4
Win Impact6.2

Composite 5.5/10 (Solid), 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 rating0.04+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time630ms−7ms
first ⅓ avg 638ms → last ⅓ avg 630ms
Headshot accuracy21.0%+1.2%
first ⅓ avg 19.8% → last ⅓ avg 21.0%

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

0.19Best match rating · 9–7 · inferno, 29 Oct →
36%Best headshot accuracy · 13–4 · ancient, 7 Sept →
398msFastest reaction time · 5–13 · inferno, 1 Oct →
13–1Biggest win · anubis, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
6–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 80% over 10mirageWeakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
mirageD257–1828%0.02
ancientS2013–765%0.02
infernoC177–1041%0.01
nukeB136–746%0.03
dust2C104–640%0.00
cacheS108–280%0.03
anubisA53–260%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,612Lifetime kills
1.25K/D
1,051Matches
32.8%Match win rate
43.6%Headshot %
10.4%Shot accuracy
1,756MVPs
323Hours (in match)
694Bombs planted
155Bombs defused

Most-used weapons

Lifetime map wins

1,003dust2
913inferno
502nuke
197office
136train
110cbble
98vertigo
30ar_shoots

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

Faceit stats

Combat

1Matches
100%Win rate
0.90Avg K/D
65.0ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

21.5%Headshot accuracy
36.5%Accuracy (enemy spotted)
38.9%Spray accuracy
83.1%Counter-strafing
10.0°Preaim
619msReaction time
26.0%T opening success
49.1%CT opening success
0.52Enemies flashed / flash
9.1%Flash assists
11.88HE damage / grenade
4.77Flashes / 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

    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 25.969% — below the 40% mark we flag

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.

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0629%13 Nov →
ancient13–80.0624%3 Nov →
nuke13–11-0.0021%3 Nov →
inferno5–13-0.0224%3 Nov →
ancient11–130.1427%2 Nov →
mirage12–160.0114%2 Nov →
mirage13–80.0718%2 Nov →
dust213–16-0.0322%30 Oct →
ancient13–7-0.0323%30 Oct →
mirage13–90.0127%30 Oct →
mirage13–80.0221%29 Oct →
mirage2–13-0.0218%29 Oct →
dust213–110.0023%29 Oct →
inferno8–130.0418%29 Oct →
inferno9–70.1919%29 Oct →
ancient13–40.0227%29 Oct →
anubis13–30.0620%29 Oct →
dust213–100.0718%28 Oct →
inferno6–90.009%28 Oct →
inferno9–7-0.0316%28 Oct →
nuke9–60.1720%28 Oct →
mirage6–13-0.0414%26 Oct →
mirage9–130.0615%26 Oct →
inferno9–30.1023%26 Oct →
ancient13–9-0.0413%24 Oct →
ancient13–30.1325%24 Oct →
nuke8–130.0616%24 Oct →
mirage4–13-0.0320%24 Oct →
inferno15–15-0.0029%24 Oct →
inferno10–13-0.0113%24 Oct →
nuke13–60.1732%23 Oct →
mirage10–13-0.0723%23 Oct →
nuke13–30.0732%23 Oct →
ancient15–150.0421%23 Oct →
nuke11–130.0222%23 Oct →
ancient13–80.0023%21 Oct →
anubis13–10.1014%21 Oct →
dust213–50.0214%20 Oct →
mirage13–90.0925%20 Oct →
cache2–13-0.0321%15 Oct →
cache13–100.0524%15 Oct →
mirage5–130.0221%14 Oct →
dust24–13-0.0218%14 Oct →
mirage13–60.1315%13 Oct →
mirage13–160.0417%13 Oct →
mirage4–13-0.0715%13 Oct →
ancient13–60.0221%13 Oct →
nuke13–9-0.0714%10 Oct →
mirage13–80.0013%10 Oct →
anubis9–13-0.0611%7 Oct →
cache13–60.0015%7 Oct →
inferno15–15-0.0014%7 Oct →
mirage13–30.0820%6 Oct →
inferno3–13-0.069%6 Oct →
cache13–60.0126%6 Oct →
ancient15–150.0217%6 Oct →
inferno13–9-0.0432%6 Oct →
ancient11–130.0329%4 Oct →
ancient8–13-0.0620%4 Oct →
dust29–13-0.0219%4 Oct →
mirage12–16-0.0715%2 Oct →
inferno5–13-0.0712%1 Oct →
nuke10–13-0.0226%1 Oct →
nuke7–130.1031%27 Sept →
ancient13–50.0324%27 Sept →
inferno7–9-0.0512%27 Sept →
mirage11–130.1023%27 Sept →
mirage7–130.0616%27 Sept →
ancient13–70.0118%27 Sept →
inferno16–140.0223%27 Sept →
mirage3–13-0.1015%26 Sept →
inferno13–20.0523%26 Sept →
mirage4–130.0129%24 Sept →
dust210–13-0.0225%24 Sept →
cache13–90.0520%23 Sept →
mirage4–130.0119%23 Sept →
cache11–130.0720%23 Sept →
nuke11–13-0.0124%23 Sept →
inferno13–80.0516%23 Sept →
inferno3–13-0.0429%21 Sept →
cache13–10-0.0218%21 Sept →
ancient8–130.0720%21 Sept →
anubis3–13-0.0415%20 Sept →
mirage9–130.0329%20 Sept →
anubis13–90.0320%20 Sept →
ancient6–00.065%20 Sept →
cache13–110.0214%20 Sept →
cache13–30.0824%19 Sept →
dust211–130.0413%19 Sept →
dust26–13-0.0129%17 Sept →
mirage10–130.0618%16 Sept →
nuke12–16-0.0821%16 Sept →
ancient14–16-0.0513%16 Sept →
mirage1–11-0.0114%9 Sept →
ancient13–4-0.0236%7 Sept →
nuke7–13-0.0716%7 Sept →
dust213–40.0019%7 Sept →
ancient13–90.0214%7 Sept →
cache13–60.1022%7 Sept →
ancient13–100.0618%5 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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