Perry the Onetapper

Perry the Onetapper — CS2 Stats

76561198448964143[U:1:488698415]Steam profile ↗✓ No bans

206Tracked matches56%Win rate2020Tracked since
180Hours in CS
CSDB Rating5.6 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 206 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,148 +6,575 3 Apr – 16 Jan · 29 days played
7,34014,999peak 14,9993 Apr16 Jan
15,108Peak Premier in tracked matches
61Days played since 2025-01-30

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 25 Sep 2026 and 2 Oct 2026.

Measured 25 Sep 2026 → 2 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim72
Positioning63
Utility36

0–100 skill scores via Leetify.

Recent form

HOT47–46–7Last 10047%Win rateWWWWWWWWLW

Last 10 vs previous 10: +60pp win rate · −0.02 avg rating · +5.7pp headshot accuracy · +108ms reaction

Win rate up 60pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 600ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 30%
  • Avg reaction 666ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 612ms

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 (+1.8 against its own average).

Aim7.2
Utility3.6
Positioning6.3
Opening Duels3.6

Limited 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

jL

Plays most like jL 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 613ms 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

Aim7.2
Positioning6.3
Utility3.6
Mechanics5.1
Opening Duels2.3
Win Impact6.9

Composite 5.6/10 (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 rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time626ms+16ms
first ⅓ avg 610ms → last ⅓ avg 626ms
Headshot accuracy26.1%−1.2%
first ⅓ avg 27.2% → last ⅓ avg 26.1%

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

0.18Best match rating · 9–13 · dust2, 16 Jan →
80%Best headshot accuracy · 3–5 · dust2, 8 Jun →
406msFastest reaction time · 13–10 · mirage, 18 Jun →
13–1Biggest win · nuke, 2 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W8Current streak
10–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB3115–1648%0.04
nukeB209–1145%0.02
dust2D122–1017%0.05
ancientB105–550%0.03
anubisA95–456%0.00
infernoC73–443%0.05
trainS64–267%0.03
overpass—33–0100%0.06
cache—21–150%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,165Lifetime kills
1.39K/D · Top 10% of tracked players
477Matches
50.5%Match win rate · Top 25% of tracked players
44.8%Headshot % · Top 50% of tracked players
12.7%Shot accuracy · Top 50% of tracked players
1,627MVPs
180Hours (in match)
478Bombs planted
166Bombs defused

Most-used weapons

Lifetime map wins

609nuke
571dust2
443inferno
270vertigo
168train
51office
9cbble
7lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.6%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.3%Spray accuracy
72.7%Counter-strafing
9.1°Preaim
613msReaction time
32.6%T opening success
45.4%CT opening success
0.63Enemies flashed / flash
10.5%Flash assists
4.45HE damage / grenade
4.28Flashes / 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 32.6192% — 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.

17% win rate across 12 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
nuke13–7-0.0326%8 Aug →
nuke13–70.0820%1 Aug →
inferno16–130.1116%1 Aug →
mirage13–60.0638%24 Jul →
mirage16–130.0023%23 Jul →
dust213–70.0137%23 Jul →
nuke13–10-0.0029%22 Jul →
mirage13–90.1140%22 Jul →
mirage11–130.0138%22 Jul →
mirage13–70.0536%22 Jul →
mirage9–130.0538%22 Jul →
cache9–130.0925%9 Jul →
nuke15–15-0.0328%24 Jun →
cache13–90.1330%6 Jun →
mirage16–14-0.0324%17 Feb →
anubis11–13-0.0323%17 Feb →
dust213–110.0420%6 Feb →
mirage11–130.0219%30 Jan →
dust29–130.1821%16 Jan →
ancient8–130.1516%15 Jan →
dust211–130.0427%10 Jan →
ancient13–80.0423%30 Dec →
mirage11–13-0.0420%29 Dec →
nuke5–130.1047%29 Dec →
overpass13–80.1122%29 Dec →
train13–40.1426%16 Dec →
ancient3–13-0.0123%15 Dec →
nuke15–150.0125%15 Dec →
mirage15–150.1223%11 Dec →
mirage8–130.0428%9 Dec →
overpass13–100.0922%6 Dec →
mirage13–10-0.0016%4 Dec →
nuke5–13-0.049%4 Dec →
inferno9–130.0324%3 Dec →
dust26–130.1315%30 Nov →
nuke5–13-0.0426%29 Nov →
dust27–130.0140%29 Nov →
mirage13–50.1032%28 Nov →
inferno11–13-0.0113%24 Nov →
mirage5–130.0531%23 Nov →
mirage11–130.0126%23 Nov →
nuke13–90.0322%22 Nov →
train13–8-0.0227%22 Nov →
dust212–12-0.0819%9 Nov →
mirage0–9-0.0720%30 Oct →
train16–14-0.0237%22 Jul →
nuke13–7-0.0128%21 Jul →
mirage13–70.1528%21 Jul →
overpass8–5-0.0153%20 Jul →
mirage11–130.1322%20 Jul →
mirage15–15-0.0529%7 Jul →
nuke13–10.0820%2 Jul →
mirage13–100.0935%18 Jun →
nuke13–90.067%18 Jun →
anubis9–130.0121%18 Jun →
mirage15–150.1425%13 Jun →
anubis16–14-0.0112%12 Jun →
nuke13–60.0520%12 Jun →
dust23–5-0.0480%8 Jun →
anubis10–13-0.0214%5 Jun →
anubis13–110.0527%1 Jun →
mirage11–130.0227%29 May →
dust29–130.0135%29 May →
mirage16–140.0216%29 May →
mirage10–130.0220%24 May →
ancient13–70.0520%24 May →
nuke8–13-0.0522%24 May →
mirage6–130.0120%4 May →
anubis9–60.0754%28 Apr →
ancient4–130.0428%28 Apr →
ancient13–20.0431%28 Apr →
train4–130.0750%24 Apr →
mirage13–110.0328%23 Apr →
anubis13–110.0342%23 Apr →
anubis13–90.0222%21 Apr →
nuke9–130.0521%19 Apr →
dust210–130.0327%19 Apr →
ancient13–70.0717%19 Apr →
train13–80.1019%17 Apr →
inferno8–20.0536%17 Apr →
nuke9–130.1047%14 Apr →
ancient5–13-0.0421%14 Apr →
inferno13–40.1453%3 Apr →
ancient13–110.0435%1 Apr →
anubis1–13-0.0713%28 Mar →
mirage13–100.0624%28 Mar →
nuke6–130.0720%28 Mar →
inferno6–13-0.0031%27 Mar →
mirage13–20.0310%27 Mar →
ancient3–13-0.0220%22 Mar →
mirage7–130.0214%22 Mar →
nuke16–130.0920%9 Feb →
dust211–130.1519%9 Feb →
mirage8–9-0.0331%8 Feb →
dust27–130.0733%8 Feb →
train0–13-0.0633%1 Feb →
nuke15–15-0.0221%1 Feb →
mirage13–40.0816%1 Feb →
nuke9–13-0.0216%30 Jan →
inferno5–130.0326%30 Jan →

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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