✪KilljoyParker(No Skill)

✪KilljoyParker(No Skill) — CS2 Stats

IE76561198079567580[U:1:119301852]Steam profile ↗✓ No bans

1,125Tracked matches48%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,125 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,788 -46 10 Jun – 30 Jun · 6 days played
19,43719,999peak 19,99910 Jun30 Jun
19,999Peak Premier in tracked matches
38Days played since 2026-06-05

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

Performance scores

Aim70
Positioning61
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWLLLLWLWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +0.8pp headshot accuracy · +5ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 611ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 563ms

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 (+0.9 against its own average).

Aim7.0
Utility4.3
Positioning6.1
Opening Duels5.6
Clutch4.8

Strong T-side opener

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

donk

Plays most like donk 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 564ms 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

Aim7.0
Positioning6.1
Utility4.3
Mechanics6.1
Opening Duels4.7
Win Impact4.3

Composite 5.8/10 (Solid), 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 rating0.06+0.00
first ⅓ avg 0.05 → last ⅓ avg 0.06
Reaction time567ms−37ms
first ⅓ avg 604ms → last ⅓ avg 567ms
Headshot accuracy18.4%−4.3%
first ⅓ avg 22.7% → last ⅓ avg 18.4%

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

0.41Best match rating · 9–1 · overpass, 9 Jun →
38%Best headshot accuracy · 11–13 · mirage, 24 Jul →
406msFastest reaction time · 6–9 · inferno, 15 Jun →
13–3Biggest win · cache, 26 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC125–742%0.05
cacheC104–640%0.01
mirageC104–640%0.04
officeA106–460%0.05
vertigoA95–456%0.10
dust2A85–363%-0.02
ancientD80–80%0.02
infernoA74–357%0.07
anubisD71–614%0.01
trainS54–180%0.11
boulderC52–340%0.07
fachwerk—32–167%0.13
overpass—32–167%0.21
italy—21–150%0.01
alpine—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

362Matches
51%Win rate
1.21Avg K/D
94.9ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
34%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1338%1.4118.0
Ancient1040%1.0616.9
Cache540%1.5028.0
Inferno540%0.9315.4
Nuke475%1.4130.8
Overpass425%1.1622.5
Anubis450%1.4620.0
Vertigo3100%1.3919.7

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.

17.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
39.0%Spray accuracy
77.7%Counter-strafing
9.9°Preaim
564msReaction time
53.1%T opening success
44.5%CT opening success
0.48Enemies flashed / flash
3.2%Flash assists
7.69HE damage / grenade
5.64Flashes / 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 0.4825 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–30.0224%26 Aug →
nuke9–130.0523%26 Aug →
mirage6–13-0.0117%26 Aug →
italy8–130.0315%26 Aug →
nuke4–130.0811%26 Aug →
inferno13–80.1326%23 Aug →
mirage10–130.1518%23 Aug →
dust213–9-0.0414%23 Aug →
vertigo9–50.0726%23 Aug →
dust213–3-0.0116%23 Aug →
office12–120.0025%23 Aug →
vertigo12–120.1616%21 Aug →
mirage13–50.3021%21 Aug →
dust214–16-0.0313%21 Aug →
anubis12–12-0.069%18 Aug →
cache13–110.1123%18 Aug →
fachwerk13–40.1817%3 Aug →
anubis6–130.0317%3 Aug →
inferno13–50.0620%3 Aug →
nuke10–130.0618%3 Aug →
dust29–13-0.0818%3 Aug →
cache5–130.0417%3 Aug →
cache13–100.0520%30 Jul →
inferno8–130.0214%30 Jul →
ancient12–120.1211%29 Jul →
train13–70.1022%29 Jul →
nuke13–60.1916%29 Jul →
vertigo13–110.1220%29 Jul →
cache3–130.0319%29 Jul →
cache15–15-0.0316%28 Jul →
anubis11–130.0520%28 Jul →
ancient5–130.1131%28 Jul →
nuke13–5-0.0516%27 Jul →
inferno13–70.0522%27 Jul →
dust211–13-0.0513%24 Jul →
mirage13–11-0.0413%24 Jul →
mirage11–13-0.0338%24 Jul →
office13–110.0415%23 Jul →
anubis3–13-0.0714%22 Jul →
fachwerk4–130.1419%16 Jul →
boulder3–130.0113%16 Jul →
ancient1–13-0.0813%15 Jul →
cache16–12-0.0034%13 Jul →
boulder13–50.0220%10 Jul →
boulder11–130.0515%10 Jul →
boulder13–110.1427%9 Jul →
boulder6–130.1331%9 Jul →
fachwerk13–60.0817%9 Jul →
train6–130.0524%8 Jul →
vertigo13–80.0820%8 Jul →
office7–130.0116%8 Jul →
vertigo7–130.0320%6 Jul →
mirage9–130.0817%6 Jul →
office13–60.0428%2 Jul →
cache3–13-0.0828%2 Jul →
cache5–13-0.0622%2 Jul →
inferno15–150.0920%30 Jun →
anubis7–13-0.0418%25 Jun →
nuke9–13-0.0130%23 Jun →
office13–110.0421%23 Jun →
anubis13–110.0918%23 Jun →
mirage16–140.0417%22 Jun →
nuke13–70.0615%21 Jun →
ancient13–160.0119%18 Jun →
mirage13–100.0518%18 Jun →
train13–70.1118%17 Jun →
train13–40.2612%17 Jun →
mirage1–13-0.1011%17 Jun →
ancient10–130.0117%17 Jun →
nuke14–160.0221%17 Jun →
mirage8–13-0.069%16 Jun →
ancient4–13-0.0215%16 Jun →
dust213–11-0.0521%15 Jun →
inferno6–90.0129%15 Jun →
vertigo11–130.0925%15 Jun →
dust213–60.0620%14 Jun →
dust213–50.0532%14 Jun →
ancient12–12-0.0416%14 Jun →
office13–9-0.0621%13 Jun →
train13–40.0619%12 Jun →
office12–120.0236%11 Jun →
nuke13–100.0230%11 Jun →
nuke11–130.0827%11 Jun →
nuke10–130.0613%10 Jun →
italy13–10-0.0117%10 Jun →
alpine13–7-0.0137%10 Jun →
office3–00.3133%10 Jun →
office13–50.0937%10 Jun →
ancient7–130.0835%10 Jun →
nuke13–100.0626%10 Jun →
overpass9–10.4117%9 Jun →
vertigo13–80.2320%9 Jun →
cache11–13-0.0125%8 Jun →
overpass9–130.0622%8 Jun →
anubis10–130.0927%8 Jun →
overpass13–50.1723%8 Jun →
vertigo13–110.0513%7 Jun →
vertigo9–130.0517%7 Jun →
office7–13-0.0223%5 Jun →
inferno13–110.1114%5 Jun →

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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