bappii :3

bappii :3 — CS2 Stats

PL76561198283948822[U:1:323683094]Steam profile ↗✓ No bans

3,968Tracked matches30%Win rate2020Tracked since
7,011Hours in CS0Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
CSDB Leaderboard#89336 of 260020 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,796 -204 19 Sept – 10 Oct · 5 days played
19,79620,000peak 20,00019 Sept10 Oct
20,307Peak Premier in tracked matches
1,243Highest Faceit ELO seen on CSDB
21Days played since 2026-09-19

Faceit ELO

  • At peak — 1,243
  • Next: Level 7 at 1,351 — 108 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-19
  • Level 5 first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGbappii :3PEAK ELO1,243csdb.gg/stats

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Performance scores

Aim78
Positioning67
Utility11

0–100 skill scores via Leetify.

Recent form

COLD38–55–7Last 10038%Win rateLLLLLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +1.8pp headshot accuracy · −99ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 33%
  • Avg reaction 680ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 34%
  • Avg reaction 619ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 33%
  • Avg reaction 668ms

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 (+2.9 against its own average).

Aim7.8
Utility1.1
Positioning6.7
Opening Duels5.2
Clutch2.2

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

donk

Plays most like donk 72% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 69% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 649ms 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

Aim7.8
Positioning6.7
Utility1.1
Mechanics7.7
Opening Duels7.3
Win Impact0.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time647ms−2ms
first ⅓ avg 649ms → last ⅓ avg 647ms
Headshot accuracy31.2%+2.5%
first ⅓ avg 28.7% → last ⅓ avg 31.2%

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

0.30Best match rating · 4–0 · rush_001, 3 Oct →
67%Best headshot accuracy · 7–3 · rush_001, 4 Oct →
344msFastest reaction time · 4–0 · rush_001, 3 Oct →
13–2Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L8Current streak
5–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

rush_001Best map · 60% over 5mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC5022–2844%0.03
infernoD72–529%-0.01
cacheC73–443%0.02
mirageD71–614%0.00
dust2D61–517%0.03
vertigoD61–517%-0.04
rush_001A53–260%0.08
office—40–40%0.00
poseidon—43–175%0.01
train—22–0100%0.02
italy—10–10%0.02
ancient—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

200,617Lifetime kills
1.03K/D · Top 50% of tracked players
10,681Matches
44.5%Match win rate
53.4%Headshot % · Top 25% of tracked players
15.0%Shot accuracy · Top 50% of tracked players
37,895MVPs
3,882Hours (in match)
2,594Bombs planted
3,038Bombs defused

Most-used weapons

AK-4764,130
AWP18,853
SG 5534,924
FAMAS4,840
P2504,822

Lifetime map wins

18,841nuke
8,260dust2
6,249inferno
5,012vertigo
2,670train
899cbble
498office
458lake

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

Faceit stats

Combat

551Matches
48%Win rate
0.99Avg K/D
89.7ADR
51%Headshot %

Clutches & streaks

31%1v1 clutch win
29%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5469%1.0817.0
Dust22748%1.2319.3
Nuke1932%1.0016.6
Anubis1644%1.0319.3
Ancient1217%0.9216.8
Inferno771%1.0118.0
Vertigo560%1.1216.4
Overpass333%1.0718.7

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.

32.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.2%Spray accuracy
84.7%Counter-strafing
11.0°Preaim
649msReaction time
68.6%T opening success
49.6%CT opening success
0.10Enemies flashed / flash
10.5%Flash assists
5.41HE damage / grenade
0.68Flashes / 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 0.105 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0825%20 Oct →
nuke3–130.0327%20 Oct →
nuke5–130.0650%20 Oct →
nuke8–130.0341%20 Oct →
nuke6–130.0123%20 Oct →
nuke4–13-0.0830%12 Oct →
nuke9–13-0.0525%12 Oct →
nuke7–13-0.0246%12 Oct →
cache13–90.0544%12 Oct →
office5–13-0.0430%12 Oct →
dust211–130.0231%12 Oct →
cache9–13-0.0630%12 Oct →
nuke10–130.0343%12 Oct →
office11–130.1130%12 Oct →
office12–120.0432%12 Oct →
nuke3–130.0821%11 Oct →
italy8–120.0238%11 Oct →
train13–80.0315%11 Oct →
train13–60.0242%11 Oct →
nuke13–40.0443%10 Oct →
nuke13–110.0236%10 Oct →
ancient11–13-0.0913%10 Oct →
inferno13–9-0.0135%10 Oct →
vertigo12–12-0.0020%10 Oct →
nuke12–120.0528%10 Oct →
nuke13–50.2329%9 Oct →
nuke13–6-0.0152%9 Oct →
mirage4–13-0.0236%9 Oct →
inferno1–9-0.1140%8 Oct →
poseidon9–5-0.0415%8 Oct →
poseidon9–10.1130%8 Oct →
nuke9–70.0513%8 Oct →
nuke9–30.0515%8 Oct →
nuke3–13-0.0138%8 Oct →
mirage11–130.1028%8 Oct →
inferno7–9-0.1238%7 Oct →
dust211–13-0.0331%7 Oct →
cache9–13-0.0746%7 Oct →
nuke13–60.0336%7 Oct →
nuke2–13-0.1233%7 Oct →
nuke13–90.0231%6 Oct →
nuke5–130.0321%6 Oct →
nuke12–120.0140%6 Oct →
mirage6–130.0425%6 Oct →
mirage10–130.0133%6 Oct →
nuke13–100.1026%5 Oct →
nuke8–130.1526%4 Oct →
rush_0016–80.0924%4 Oct →
rush_0018–60.0858%4 Oct →
rush_0017–30.0867%4 Oct →
rush_0010–4-0.1417%3 Oct →
mirage2–13-0.0527%3 Oct →
rush_0014–00.3033%3 Oct →
cache13–50.0724%3 Oct →
cache4–13-0.0425%3 Oct →
nuke13–100.0740%2 Oct →
inferno8–8-0.0344%1 Oct →
inferno9–40.2033%1 Oct →
nuke7–90.0134%1 Oct →
nuke9–60.0950%1 Oct →
vertigo7–13-0.0833%1 Oct →
nuke8–130.0221%30 Sept →
nuke7–100.0224%30 Sept →
nuke13–80.0343%30 Sept →
nuke7–13-0.0433%30 Sept →
nuke10–130.1941%30 Sept →
dust213–50.0625%30 Sept →
dust27–130.0928%30 Sept →
inferno15–15-0.0629%29 Sept →
nuke13–20.0322%29 Sept →
nuke6–130.0217%29 Sept →
nuke13–110.0136%29 Sept →
nuke12–120.0528%28 Sept →
nuke11–130.0822%28 Sept →
nuke13–70.0921%28 Sept →
nuke13–10-0.0333%28 Sept →
poseidon2–9-0.2120%27 Sept →
nuke3–9-0.0218%27 Sept →
nuke13–80.0221%27 Sept →
mirage6–13-0.0529%26 Sept →
vertigo0–6-0.090%26 Sept →
vertigo6–13-0.0535%26 Sept →
nuke9–130.0630%26 Sept →
nuke13–4-0.0244%26 Sept →
nuke9–130.0419%26 Sept →
dust210–130.1431%26 Sept →
nuke9–13-0.0225%25 Sept →
nuke13–20.1422%25 Sept →
nuke13–7-0.0433%24 Sept →
cache3–130.0345%24 Sept →
cache13–50.1428%23 Sept →
nuke9–30.0556%23 Sept →
office3–13-0.0914%23 Sept →
vertigo4–13-0.0139%23 Sept →
vertigo13–10-0.0444%23 Sept →
dust210–13-0.0724%23 Sept →
mirage13–5-0.0122%23 Sept →
nuke9–70.0839%23 Sept →
nuke5–9-0.0738%23 Sept →
poseidon9–50.1634%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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