plockey

plockey — CS2 Stats

US76561199050197836[U:1:1089932108]Steam profile ↗✓ No bans

709Tracked matches71%Win rate2021Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating28,719Top 1% of 205,416 CSDB-tracked playersRed band · top ~1.2% of ranked players (population est.)
CSDB Leaderboard#1547 of 252702 tracked
FaceitLevel 5 · 1,420 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 28,719 → 28,719
0Faceit ELO · 1,420 → 1,420
+13Tracked matches · now 709
−7.9ppWin rate · 79.3% → 71.4%

Rating over time

Premier CS Rating: 28,719 +9,221 6 Jul – 3 Sept · 15 days played
19,49828,719peak 28,7196 Jul3 Sept
Faceit ELO: 1,420 +0 28 Aug – 3 Sept · 4 observations
1,4201,420peak 1,42028 Aug3 Sept
28,719Peak Premier in tracked matches
1,420Highest Faceit ELO seen on CSDB
34Days played since 2026-07-06

Faceit ELO

  • At peak — 1,420
  • Next: Level 8 at 1,531 — 111 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-28
  • Level 6 first seen 2026-08-28

Premier CS Rating

  • At peak — 28,719
  • +2,629 over 30 days · improving
  • Next: Gold band at 30,000 — 1,281 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGplockeyFACEITLevel 5 · 1,420 ELOSTANDINGTop 67.6% of rankedPREMIER28,719 · Red bandPEAK ELO1,420csdb.gg/stats

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Performance scores

Aim68
Positioning57
Utility54

0–100 skill scores via Leetify.

Recent form

COLD56–39–5Last 10056%Win rateWTTLLLLLWW

Last 10 vs previous 10: −60pp win rate · −0.05 avg rating · −7.2pp headshot accuracy · −22ms reaction

Win rate down 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 627ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim6.8
Utility5.4
Positioning5.7
Opening Duels2.6
Clutch4.6

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 608ms 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

Aim6.8
Positioning5.7
Utility5.4
Mechanics7.5
Opening Duels2.0
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time613ms+4ms
first ⅓ avg 609ms → last ⅓ avg 613ms
Headshot accuracy16.5%−3.1%
first ⅓ avg 19.6% → last ⅓ avg 16.5%

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

0.15Best match rating · 13–5 · mirage, 24 Jul →
35%Best headshot accuracy · 3–13 · office, 27 Jul →
406msFastest reaction time · 5–13 · mirage, 15 Jul →
13–0Biggest win · anubis, 25 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 75% over 8ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%0.04
nukeS1611–569%0.03
dust2C146–843%0.00
cacheB126–650%-0.00
infernoS86–275%-0.01
anubisS86–275%0.02
officeC73–443%0.04
ancientD62–433%-0.00
vertigo—33–0100%0.05
train—10–10%-0.02
shelter—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

79Matches
61%Win rate
0.96Avg K/D
70.0ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
31%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3077%0.8913.4
Ancient1872%1.0515.0
Nuke743%1.0112.3
Dust260%0.7014.0
Anubis650%0.8313.8
Inferno450%1.1014.8
Overpass333%0.8011.3
Cache333%0.9715.0

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.

17.3%Headshot accuracy
38.2%Accuracy (enemy spotted)
34.7%Spray accuracy
84.0%Counter-strafing
11.7°Preaim
608msReaction time
39.2%T opening success
36.9%CT opening success
0.49Enemies flashed / flash
6.0%Flash assists
10.09HE damage / grenade
10.30Flashes / 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 0.4883 — 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 39.1506% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.029%12 Oct →
cache12–12-0.0920%12 Oct →
ancient12–120.0215%10 Oct →
nuke4–130.0223%9 Oct →
inferno11–130.0218%8 Oct →
mirage5–130.0014%7 Oct →
cache6–13-0.0211%28 Aug →
mirage5–130.015%25 Aug →
mirage13–9-0.0214%24 Aug →
nuke13–1-0.0222%19 Aug →
ancient13–8-0.0610%19 Aug →
cache13–70.1424%14 Aug →
train3–13-0.0222%13 Aug →
nuke13–80.1327%13 Aug →
nuke13–10-0.0223%11 Aug →
mirage13–10-0.0027%8 Aug →
dust213–40.0616%8 Aug →
mirage13–20.1221%8 Aug →
office13–80.0426%8 Aug →
nuke13–30.0726%7 Aug →
nuke8–130.0019%7 Aug →
nuke13–7-0.049%7 Aug →
cache13–30.0114%7 Aug →
nuke16–140.0217%6 Aug →
dust23–13-0.0923%6 Aug →
dust216–130.0215%5 Aug →
inferno16–13-0.0415%4 Aug →
nuke13–90.0312%4 Aug →
anubis13–70.0717%4 Aug →
dust213–7-0.019%3 Aug →
cache13–2-0.070%3 Aug →
inferno13–9-0.0810%3 Aug →
mirage12–12-0.0411%3 Aug →
nuke13–60.027%3 Aug →
vertigo13–10-0.0215%3 Aug →
office3–13-0.0333%3 Aug →
vertigo13–110.0226%31 Jul →
nuke16–130.0614%31 Jul →
dust211–13-0.057%30 Jul →
ancient6–13-0.0425%29 Jul →
mirage13–70.0411%29 Jul →
mirage10–130.1014%28 Jul →
office3–130.0735%27 Jul →
cache9–13-0.0120%27 Jul →
nuke10–130.035%25 Jul →
mirage13–4-0.0217%25 Jul →
ancient13–20.0416%25 Jul →
anubis13–10-0.018%25 Jul →
cache5–13-0.0214%25 Jul →
anubis13–00.1314%25 Jul →
dust213–7-0.0615%25 Jul →
dust216–14-0.0116%25 Jul →
nuke10–130.0014%25 Jul →
nuke8–13-0.0210%24 Jul →
inferno13–9-0.006%24 Jul →
cache13–8-0.0121%24 Jul →
nuke13–40.0428%24 Jul →
anubis13–6-0.057%24 Jul →
inferno13–80.0320%24 Jul →
mirage13–3-0.0125%24 Jul →
ancient11–13-0.0113%24 Jul →
cache14–16-0.0116%24 Jul →
dust26–130.0315%24 Jul →
ancient6–130.0512%24 Jul →
mirage13–50.1529%24 Jul →
anubis13–50.0211%23 Jul →
anubis4–13-0.0317%23 Jul →
inferno15–15-0.0224%23 Jul →
inferno13–11-0.0412%23 Jul →
nuke13–90.0711%23 Jul →
inferno13–90.0314%23 Jul →
anubis9–130.0118%23 Jul →
mirage13–10.0314%23 Jul →
office9–130.0614%19 Jul →
mirage7–130.0219%16 Jul →
mirage5–13-0.0520%15 Jul →
mirage5–13-0.0416%15 Jul →
office13–70.1032%10 Jul →
shelter13–50.0516%9 Jul →
office13–50.0630%9 Jul →
office8–13-0.0321%9 Jul →
mirage13–00.1123%9 Jul →
cache13–80.0420%9 Jul →
mirage11–130.0423%8 Jul →
dust27–130.0619%8 Jul →
dust213–90.0715%8 Jul →
mirage13–11-0.0218%7 Jul →
vertigo13–70.1425%7 Jul →
mirage13–20.1430%7 Jul →
anubis13–40.0426%7 Jul →
dust211–130.0028%7 Jul →
mirage11–130.1021%7 Jul →
dust212–120.0822%6 Jul →
mirage9–130.0819%6 Jul →
cache7–13-0.0112%6 Jul →
mirage8–13-0.0022%6 Jul →
mirage10–130.1117%6 Jul →
dust26–13-0.0616%6 Jul →
dust23–13-0.0414%6 Jul →
cache13–110.0416%6 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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