PAPPALARDO — CS2 Stats

76561198097119166[U:1:136853438]

3,124Tracked matches60%Win rate2020Tracked since
7,196Hours in CS
CSDB Rating7.0 StrongAggressive Rifler
Premier CS Rating24,890Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#3544 of 23262 tracked
FaceitLevel 10 · 2,612 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate54.8%52.0%
Shot accuracy15.2%13.7%
Kill/death ratio1.011.08
Match win rate50.6%48.8%

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CSDB.GGPAPPALARDOFACEITLevel 10 · 2,612 ELOSTANDINGTop 12.4% of rankedPREMIER24,890 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning62
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48511Last 10048%Win rateWWWLLWLWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.4
Aggression8.8
Utility5.9
Positioning6.2
Opening Duels4.5
Clutch3.8

Strong CT-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.

Your pro match

donk

Plays most like donk 94% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 56% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim8.4
Positioning6.2
Utility5.9
Mechanics6.2
Opening Duels4.5
Win Impact8.3

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time599ms−2ms
first ⅓ avg 601ms → last ⅓ avg 599ms
Headshot accuracy22.7%+0.3%
first ⅓ avg 22.4% → last ⅓ avg 22.7%

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

0.14Best rating — cache 13–8
132Biggest win — dust2
6Longest win streak
W3Current streak
107In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 75% over 8infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B29141548%0.03
ancientC1881044%0.01
nukeB157847%0.03
cacheB126650%0.01
infernoC125742%0.02
mirageS86275%0.04
overpass31233%0.01
anubis2020%-0.00
boulder110100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

319,153Lifetime kills
1.01K/D
7,615Matches
50.6%Match win rate · Top 50% of Level 10 players
54.8%Headshot % · Top 50% of Level 10 players
15.2%Shot accuracy · Top 50% of Level 10 players
28,406MVPs
7,196Hours (in match)
9,515Bombs planted
2,863Bombs defused

Most-used weapons

AK-47149,382
AWP30,014
Glock-1810,207
P2504,593
FAMAS4,364
Knife4,331

Lifetime map wins

23,782dust2
17,804inferno
11,264nuke
5,418train
1,779vertigo
922cbble
222lake
94office

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

Faceit stats

Combat

2,392Matches
52%Win rate
1.16Avg K/D
88.4ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust225653%1.2118.1
Ancient22657%1.1518.0
Inferno16555%1.2318.9
Nuke12550%1.2518.4
Mirage4646%0.9815.4
Anubis4146%1.0417.1
Cache3158%1.2417.4
Overpass2854%1.1415.6

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.

23.0%Headshot accuracy
38.2%Accuracy (enemy spotted)
42.9%Spray accuracy
77.8%Counter-strafing
8.2°Preaim
602msReaction time
40.7%T opening success
55.7%CT opening success
0.55Enemies flashed / flash
5.2%Flash assists
11.61HE damage / grenade
7.90Flashes / match

Recommended for you

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–5-0.0017%27 Aug
mirage13–110.0433%27 Aug
dust213–9-0.0220%24 Aug
dust214–160.0127%23 Aug
ancient9–130.0919%22 Aug
dust213–70.0323%22 Aug
dust29–130.0220%22 Aug
cache13–80.1417%22 Aug
nuke13–160.0324%22 Aug
ancient13–9-0.0116%21 Aug
dust216–140.1124%21 Aug
ancient13–80.0623%21 Aug
cache13–7-0.0419%18 Aug
cache13–11-0.0418%15 Aug
ancient13–80.0621%15 Aug
overpass7–90.0727%11 Aug
inferno9–70.0429%11 Aug
dust26–13-0.0116%11 Aug
nuke6–130.0212%10 Aug
cache5–13-0.0313%9 Aug
dust213–16-0.0327%9 Aug
dust213–160.0335%9 Aug
dust213–60.0425%8 Aug
ancient9–130.0623%7 Aug
dust29–130.1028%7 Aug
dust213–110.1038%6 Aug
dust211–13-0.0527%6 Aug
mirage13–70.0727%5 Aug
nuke13–40.1224%4 Aug
nuke16–14-0.0017%31 Jul
dust213–20.0519%30 Jul
nuke13–30.1129%29 Jul
inferno13–11-0.0117%29 Jul
cache7–13-0.0231%29 Jul
inferno9–130.0226%29 Jul
dust26–130.0421%28 Jul
anubis8–13-0.0210%28 Jul
mirage13–110.0317%28 Jul
ancient10–130.0622%27 Jul
anubis7–130.0215%26 Jul
nuke13–80.0923%26 Jul
inferno2–13-0.0619%25 Jul
nuke13–100.0719%25 Jul
inferno13–70.0932%22 Jul
mirage13–90.0624%22 Jul
ancient10–130.0338%22 Jul
dust211–13-0.0822%21 Jul
ancient5–13-0.0220%21 Jul
dust213–70.1015%20 Jul
nuke13–6-0.0120%19 Jul
ancient13–100.0427%18 Jul
ancient13–80.0414%18 Jul
dust26–13-0.0340%17 Jul
nuke13–80.1127%17 Jul
ancient4–13-0.0119%14 Jul
boulder13–90.1317%12 Jul
cache6–13-0.0637%10 Jul
inferno16–140.0620%8 Jul
cache13–90.0734%6 Jul
overpass3–13-0.0326%3 Jul
mirage8–130.0431%2 Jul
mirage13–80.0429%1 Jul
inferno13–110.0415%1 Jul
dust213–50.0525%29 Jun
overpass13–80.0116%26 Jun
dust213–90.0214%25 Jun
nuke7–13-0.0413%25 Jun
nuke10–13-0.0610%25 Jun
nuke9–130.0322%24 Jun
ancient1–130.018%23 Jun
mirage7–130.0126%22 Jun
inferno2–13-0.0319%22 Jun
mirage13–70.0119%21 Jun
cache12–120.0722%20 Jun
inferno9–13-0.0313%18 Jun
nuke6–13-0.0117%15 Jun
dust213–50.0828%15 Jun
nuke10–130.0335%12 Jun
inferno6–130.0130%12 Jun
dust23–130.0618%12 Jun
dust213–90.1020%12 Jun
ancient5–13-0.0323%12 Jun
dust26–13-0.0337%9 Jun
ancient0–4-0.0540%9 Jun
inferno7–130.0726%9 Jun
nuke6–90.0033%8 Jun
dust213–70.0630%8 Jun
cache13–90.0326%7 Jun
ancient13–100.0115%6 Jun
dust26–130.0540%31 May
cache4–13-0.0925%29 May
dust25–13-0.050%29 May
ancient9–13-0.0819%28 May
ancient13–8-0.0014%27 May
inferno11–13-0.0121%27 May
dust213–80.0023%27 May
cache11–130.0322%25 May
dust213–70.0322%25 May
dust211–13-0.0212%25 May
cache13–40.0525%24 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
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