Pappa D

Pappa D — CS2 Stats

DK76561198018579290[U:1:58313562]Steam profile ↗

913Tracked matches48%Win rate2021Tracked since
CSDB Rating4.6 DevelopingPassive Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGPappa DFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning30
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46531Last 10046%Win rateTLLWLWLLWW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression0.0
Utility5.4
Positioning3.0
Opening Duels0.0
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Reaction time. 594ms 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

Aim6.6
Positioning3.0
Utility5.4
Mechanics5.4
Opening Duels0.0
Win Impact4.4

Composite 4.6/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time598ms+45ms
first ⅓ avg 553ms → last ⅓ avg 598ms
Headshot accuracy13.9%−1.0%
first ⅓ avg 14.9% → last ⅓ avg 13.9%

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.

Highlights

0.11Best rating — anubis 13–6
130Biggest win — nuke
9Longest win streak
712In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 53% over 17mirageWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
mirageC1881044%-0.02
anubisB179853%-0.01
ancientB168850%-0.01
infernoB158753%-0.01
nukeB157847%-0.03
overpassB84450%-0.02
train3030%-0.00
dust22020%-0.05
cache21150%-0.03
alpine21150%-0.03
office1010%-0.06
grail1010%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

653Matches
51%Win rate
1.07Avg K/D
73.8ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient13550%1.0415.1
Anubis10357%1.0315.5
Mirage8345%1.0513.9
Nuke4848%1.0515.2
Inferno4356%1.0713.6
Vertigo2748%1.3013.9
Train2658%1.0914.6
Dust21759%0.9412.5

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.

13.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.6%Spray accuracy
74.1%Counter-strafing
8.7°Preaim
594msReaction time
18.0%T opening success
19.8%CT opening success
0.64Enemies flashed / flash
4.5%Flash assists
6.55HE damage / grenade
8.78Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7994% — below the 15% mark we flag

    Aim Training
  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 17.998% — 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.

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage15–15-0.0323%30 Jul
inferno4–130.0116%30 Jul
mirage11–130.0015%16 Jul
anubis13–3-0.0412%15 Jul
mirage9–13-0.044%13 Jul
anubis13–11-0.042%12 Jul
dust29–13-0.0515%12 Jul
cache5–13-0.054%12 Jul
ancient13–3-0.0116%12 Jul
nuke13–00.0226%11 Jul
anubis13–11-0.0215%9 Jul
nuke13–6-0.0111%9 Jul
ancient13–60.0210%18 Jun
ancient13–7-0.0111%14 Jun
nuke13–3-0.073%11 Jun
ancient13–80.0522%11 Jun
overpass13–9-0.046%8 Jun
anubis4–13-0.0311%26 May
inferno12–16-0.0225%22 May
ancient4–13-0.0212%22 May
mirage13–100.0415%21 May
nuke5–130.0116%21 May
inferno11–130.0022%21 May
ancient13–7-0.0310%21 May
ancient10–130.0110%18 May
anubis7–13-0.119%17 May
ancient3–13-0.097%17 May
inferno4–13-0.0620%17 May
mirage10–130.0011%17 May
inferno13–6-0.0129%14 May
inferno13–30.0126%14 May
nuke11–13-0.069%14 May
mirage5–13-0.0815%12 May
alpine10–13-0.009%7 May
cache13–7-0.0021%7 May
mirage11–13-0.0518%4 May
overpass13–80.0423%5 Apr
inferno11–13-0.0316%5 Apr
inferno10–13-0.0119%5 Apr
mirage1–8-0.0221%5 Apr
inferno13–40.0322%5 Apr
ancient13–60.0319%23 Mar
overpass11–130.0217%23 Mar
mirage13–9-0.048%22 Mar
alpine4–0-0.050%12 Feb
nuke10–13-0.0515%8 Feb
overpass13–11-0.0319%8 Feb
inferno16–140.0020%8 Jan
overpass11–13-0.0519%5 Jan
nuke13–8-0.0721%5 Jan
nuke2–130.0013%3 Jan
inferno13–11-0.0120%3 Jan
overpass14–16-0.0311%2 Jan
ancient13–10-0.0011%2 Jan
ancient13–16-0.0411%2 Jan
mirage13–7-0.0613%30 Dec
nuke13–7-0.0715%29 Dec
overpass13–30.0116%28 Dec
train5–13-0.0417%28 Dec
nuke13–40.0318%27 Dec
overpass10–13-0.0413%27 Dec
inferno13–100.0111%30 Jul
mirage13–11-0.0417%16 Jul
ancient14–16-0.0520%14 Jul
nuke5–13-0.0717%8 Jul
ancient8–13-0.029%3 Jul
nuke3–13-0.0616%2 Jul
nuke7–13-0.0212%29 Jun
dust28–13-0.0416%26 Jun
nuke13–9-0.0311%26 Jun
anubis8–13-0.0416%26 May
office9–13-0.069%23 May
anubis13–60.0413%23 May
anubis13–70.0114%16 May
mirage13–50.0316%16 May
anubis9–13-0.0410%9 May
grail7–13-0.0614%8 May
inferno11–13-0.0410%5 May
anubis11–13-0.0318%3 May
anubis13–10-0.018%2 May
mirage13–10.0313%2 May
inferno16–13-0.0217%2 May
ancient9–130.0215%2 May
mirage9–13-0.0615%2 May
ancient7–13-0.0716%2 May
mirage13–30.0420%30 Apr
mirage5–13-0.009%28 Apr
mirage9–13-0.0233%24 Apr
anubis13–16-0.0115%24 Apr
anubis13–11-0.0218%24 Apr
train14–16-0.0116%23 Apr
anubis7–130.0518%17 Apr
mirage16–120.0316%17 Apr
anubis10–13-0.0215%17 Apr
train5–130.0417%17 Apr
inferno13–40.0624%17 Apr
nuke3–13-0.0016%17 Apr
anubis13–60.1111%17 Apr
ancient13–7-0.017%17 Apr
anubis13–70.0315%17 Apr

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 →