Puppy

Puppy — CS2 Stats

US76561198345643636[U:1:385377908]Steam profile ↗✓ No bans

515Tracked matches31%Win rate2020Tracked since
729Hours in CS
CSDB Rating3.9 LearningPositional Player
WingmanSilver II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,880 -120 1 Jun – 4 Jul · 15 days played
9,43710,880peak 10,8801 Jun4 Jul
10,880Peak Premier in tracked matches
36Days played since 2026-06-01

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

Performance scores

Aim52
Positioning54
Utility4

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLWLLLLLLLT

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −0.1pp headshot accuracy · −8ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 706ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 660ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 664ms

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 (+3.6 against its own average).

Aim5.2
Utility0.4
Positioning5.4
Opening Duels1.3
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

donk

Plays most like donk 78% 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.

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 677ms 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

Aim5.2
Positioning5.4
Utility0.4
Mechanics6.8
Opening Duels1.7
Win Impact0.0

Composite 3.9/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time677ms−7ms
first ⅓ avg 684ms → last ⅓ avg 677ms
Headshot accuracy17.2%+1.3%
first ⅓ avg 15.8% → last ⅓ avg 17.2%

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

0.13Best match rating · 13–2 · shelter, 5 Sept →
37%Best headshot accuracy · 9–7 · inferno, 1 Jul →
492msFastest reaction time · 6–13 · anubis, 5 Jun →
13–1Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 50% over 20vertigoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2010–1050%-0.02
infernoB2010–1050%-0.01
mirageD165–1131%-0.02
dust2D103–730%-0.04
ancientB84–450%-0.03
vertigoD50–50%-0.02
anubisD50–50%-0.04
office—41–325%-0.02
cache—43–175%-0.04
train—41–325%-0.03
overpass—32–167%-0.02
shelter—11–0100%0.13

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,731Lifetime kills
0.99K/D
1,574Matches
47.5%Match win rate · Top 50% of tracked players
33.9%Headshot %
16.4%Shot accuracy · Top 25% of tracked players
3,119MVPs
729Hours (in match)
2,206Bombs planted
389Bombs defused

Most-used weapons

AK-475,712
AWP2,704
AUG1,351
MP91,081
FAMAS1,024
MP7804

Lifetime map wins

6,957inferno
1,662dust2
1,115nuke
343vertigo
271office
260train
64cbble
37lake

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

Faceit stats

Combat

38Matches
21%Win rate
0.75Avg K/D
64.5ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.689.5
Mirage10%1.1218.0

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.

16.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.2%Spray accuracy
80.6%Counter-strafing
11.3°Preaim
677msReaction time
24.4%T opening success
43.6%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
3.88HE damage / grenade
0.00Flashes / 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 — 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 24.416% — below the 40% mark we flag

Spend your practice time on Vertigo

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 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0530%5 Sept →
shelter13–20.1331%5 Sept →
office8–13-0.0414%4 Sept →
dust25–130.0126%4 Sept →
vertigo4–13-0.0310%4 Sept →
nuke5–13-0.0112%4 Sept →
nuke11–130.0314%4 Sept →
vertigo4–13-0.035%4 Sept →
anubis6–13-0.0116%4 Sept →
inferno12–120.0215%4 Sept →
mirage11–130.0418%4 Sept →
nuke13–10.0221%4 Sept →
cache6–13-0.0317%26 Aug →
nuke9–130.0226%26 Aug →
nuke0–8-0.1025%26 Aug →
ancient13–100.0615%24 Aug →
inferno1–13-0.0810%24 Aug →
dust213–11-0.0614%24 Aug →
anubis9–13-0.0114%24 Aug →
dust26–13-0.0313%24 Aug →
mirage13–7-0.0610%16 Aug →
office13–100.0218%15 Aug →
dust213–11-0.0515%15 Aug →
mirage6–13-0.0129%15 Aug →
train9–13-0.0218%15 Aug →
mirage3–13-0.0620%14 Aug →
dust22–13-0.0611%14 Aug →
nuke13–70.0722%14 Aug →
mirage13–11-0.075%11 Aug →
mirage11–13-0.0615%7 Aug →
inferno5–13-0.0112%7 Aug →
nuke1–13-0.0128%7 Aug →
office12–120.0418%7 Aug →
vertigo2–13-0.0324%7 Aug →
ancient5–13-0.0313%7 Aug →
inferno4–13-0.0416%7 Aug →
nuke8–13-0.0628%7 Aug →
train10–130.0214%7 Aug →
mirage10–80.0017%7 Aug →
dust213–90.0811%7 Aug →
anubis7–13-0.0823%1 Aug →
inferno6–13-0.0120%31 Jul →
nuke13–2-0.007%31 Jul →
inferno9–2-0.0119%31 Jul →
inferno13–4-0.0318%31 Jul →
train13–10-0.0313%31 Jul →
nuke13–50.0324%31 Jul →
inferno13–9-0.0021%31 Jul →
mirage9–130.0417%31 Jul →
inferno13–90.0125%29 Jul →
vertigo9–13-0.0122%29 Jul →
inferno4–130.0421%27 Jul →
inferno9–4-0.0730%27 Jul →
mirage12–12-0.0723%27 Jul →
dust211–13-0.0416%26 Jul →
inferno9–130.0214%26 Jul →
inferno12–120.0215%25 Jul →
inferno8–13-0.0623%24 Jul →
inferno2–5-0.0131%13 Jul →
nuke13–6-0.0421%13 Jul →
nuke13–80.0312%13 Jul →
ancient13–11-0.0311%13 Jul →
nuke5–13-0.1116%9 Jul →
vertigo12–12-0.0320%8 Jul →
train4–13-0.0921%8 Jul →
office10–13-0.0810%8 Jul →
mirage5–13-0.080%8 Jul →
cache13–70.0211%8 Jul →
cache13–4-0.0916%6 Jul →
mirage11–130.0621%4 Jul →
nuke13–90.0215%4 Jul →
inferno13–110.0013%3 Jul →
mirage11–13-0.0124%1 Jul →
inferno9–70.0037%1 Jul →
nuke13–9-0.0315%30 Jun →
overpass13–11-0.0625%30 Jun →
ancient3–13-0.089%30 Jun →
overpass1–60.0221%30 Jun →
mirage13–50.0016%29 Jun →
mirage13–70.0716%29 Jun →
cache13–4-0.0715%28 Jun →
overpass13–11-0.0116%28 Jun →
nuke5–13-0.066%28 Jun →
nuke8–130.0124%27 Jun →
dust21–13-0.1415%20 Jun →
anubis11–13-0.0313%20 Jun →
dust214–16-0.0118%20 Jun →
nuke13–10-0.085%17 Jun →
mirage10–13-0.136%17 Jun →
inferno13–9-0.0217%14 Jun →
inferno13–90.0212%14 Jun →
nuke13–6-0.0220%14 Jun →
dust24–13-0.0517%13 Jun →
inferno13–7-0.0414%11 Jun →
anubis6–13-0.0424%5 Jun →
ancient13–9-0.0119%5 Jun →
ancient13–10-0.0515%5 Jun →
mirage11–130.0015%3 Jun →
ancient7–13-0.0511%2 Jun →
ancient0–13-0.030%1 Jun →

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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