BittyPaoPao

BittyPaoPao — CS2 Stats

US76561198284883049[U:1:324617321]Steam profile ↗

424Tracked matches46%Win rate2020Tracked since
1,519Hours in CS7Hrs last 2 wks
CSDB Rating5.2 Developing
Premier CS Rating15,119Purple band · top ~27.9% of ranked players (population est.)
CSDB Leaderboard#22517 of 37058 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate34.6%44.2%44.9%10.3% short
Shot accuracy12.4%11.2%11.8%above
Kill/death ratio0.881.041.040.16 short
Match win rate39.8%45.3%45.3%5.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBittyPaoPaoFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,119 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning56
Utility30

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateWLWTWLLLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.8
Aggression8.6
Utility3.0
Positioning5.6
Opening Duels3.4
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

jL

Plays most like jL 83% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; 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

T-side openings. Opening success drops from 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim5.8
Positioning5.6
Utility3.0
Mechanics7.7
Opening Duels3.4
Win Impact3.8

Composite 5.2/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time598ms−72ms
first ⅓ avg 671ms → last ⅓ avg 598ms
Headshot accuracy14.6%−2.6%
first ⅓ avg 17.2% → last ⅓ avg 14.6%

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 — mirage 13–2
131Biggest win — train
6Longest win streak
64In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 80% over 5dust2Weakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
cacheC40162440%-0.00
nukeA159660%-0.00
dust2D1431121%-0.04
mirageS139469%-0.01
infernoS54180%-0.02
ancient41325%-0.02
anubis21150%0.03
train220100%0.09
vertigo220100%0.03
overpass2020%-0.02
office1010%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,551Lifetime kills
0.88K/D
1,791Matches
39.8%Match win rate
34.6%Headshot %
12.4%Shot accuracy · Top 50% of Level 5 players
2,714MVPs
728Hours (in match)
1,329Bombs planted
286Bombs defused

Most-used weapons

Lifetime map wins

3,507dust2
1,131inferno
756nuke
625vertigo
167train
139lake
82office
58bank

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

Faceit stats

Combat

80Matches
52%Win rate
0.99Avg K/D
73.0ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2756%0.9713.1
Dust21145%0.8414.8
Inferno1145%1.0613.0
Anubis944%0.9811.8
Nuke875%1.4215.3
Ancient850%0.8013.3
Vertigo650%0.9814.8

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.

15.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
32.1%Spray accuracy
84.7%Counter-strafing
10.8°Preaim
598msReaction time
32.7%T opening success
54.8%CT opening success
0.43Enemies flashed / flash
2.4%Flash assists
6.29HE damage / grenade
2.97Flashes / 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 0.4342 — 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 32.7464% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0413%29 Aug
dust27–13-0.0612%25 Aug
inferno16–14-0.0423%25 Aug
cache15–150.0111%23 Aug
mirage13–20.1123%23 Aug
cache6–13-0.038%20 Aug
cache2–90.0627%20 Aug
mirage2–13-0.0214%19 Aug
inferno5–13-0.0411%12 Aug
nuke10–13-0.0210%12 Aug
cache11–13-0.0318%11 Aug
cache13–3-0.0210%11 Aug
inferno13–11-0.0110%11 Aug
nuke13–80.0211%8 Aug
nuke5–130.0213%2 Aug
anubis9–13-0.018%31 Jul
nuke13–60.1125%31 Jul
cache13–20.0724%30 Jul
dust26–13-0.1014%29 Jul
nuke6–13-0.0321%29 Jul
train13–10.0723%29 Jul
dust211–130.0414%29 Jul
cache8–13-0.0026%28 Jul
nuke13–90.0411%28 Jul
nuke6–13-0.0316%25 Jul
dust25–13-0.0113%25 Jul
dust212–12-0.0724%25 Jul
mirage6–2-0.070%25 Jul
mirage13–10-0.0320%24 Jul
nuke13–11-0.0213%24 Jul
mirage13–4-0.068%24 Jul
nuke2–13-0.096%23 Jul
inferno13–6-0.014%22 Jul
ancient11–13-0.005%22 Jul
cache4–13-0.0611%22 Jul
mirage13–110.0012%22 Jul
dust28–13-0.048%22 Jul
mirage13–6-0.0328%21 Jul
cache13–50.0718%21 Jul
mirage7–13-0.0530%21 Jul
anubis13–40.0813%21 Jul
cache13–3-0.0012%21 Jul
cache7–130.0411%21 Jul
cache16–12-0.017%20 Jul
inferno13–10-0.0214%20 Jul
dust213–9-0.0313%20 Jul
dust23–13-0.055%19 Jul
ancient0–13-0.0410%16 Jul
nuke13–5-0.027%16 Jul
cache13–6-0.0725%16 Jul
dust216–13-0.0414%16 Jul
cache9–13-0.047%16 Jul
cache12–160.0215%14 Jul
dust22–13-0.0713%14 Jul
nuke13–9-0.0411%13 Jul
nuke13–110.0316%7 Jul
cache9–13-0.036%5 Jul
nuke7–30.0512%5 Jul
mirage13–70.0319%4 Jul
cache11–20.0519%4 Jul
cache13–70.0619%3 Jul
nuke13–10-0.0110%28 Jun
cache13–70.0318%28 Jun
office9–13-0.0812%28 Jun
train13–90.1118%28 Jun
nuke15–15-0.0617%27 Jun
ancient9–130.0013%26 Jun
dust213–60.0315%26 Jun
dust22–130.0129%26 Jun
vertigo13–80.0318%26 Jun
mirage6–130.0111%24 Jun
dust211–13-0.0610%23 Jun
cache5–13-0.0326%22 Jun
mirage13–90.029%22 Jun
cache3–13-0.042%22 Jun
ancient13–4-0.058%22 Jun
overpass8–13-0.0915%20 Jun
mirage8–130.0011%19 Jun
cache13–50.0418%19 Jun
cache12–12-0.0210%14 Jun
cache9–13-0.0028%12 Jun
cache4–13-0.0515%11 Jun
cache3–130.0115%11 Jun
cache10–130.0918%10 Jun
dust23–13-0.0629%9 Jun
cache13–8-0.0522%9 Jun
cache13–9-0.0614%8 Jun
cache12–120.0922%8 Jun
overpass5–130.0619%8 Jun
cache5–130.0020%7 Jun
cache13–4-0.0321%4 Jun
cache8–130.0228%4 Jun
cache13–10-0.0214%4 Jun
vertigo13–100.0411%4 Jun
cache13–90.0416%3 Jun
cache10–130.0327%3 Jun
cache10–130.0020%3 Jun
cache7–13-0.0614%2 Jun
cache13–11-0.0318%30 May
cache2–13-0.0717%30 May

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 →