Boppel

Boppel — CS2 Stats

76561198057055165[U:1:96789437]Steam profile ↗

532Tracked matches46%Win rate2020Tracked since
CSDB Rating5.5 SolidPassive Rifler
Premier CS Rating20,213Pink band · top ~8.3% of ranked players (population est.)
CSDB Leaderboard#11154 of 28036 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBoppelFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,213 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning37
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50455Last 10050%Win rateLWLWWTWWLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim7.2
Aggression3.9
Utility6.2
Positioning3.7
Opening Duels1.0

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 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning profile.

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. 578ms 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

Aim7.2
Positioning3.7
Utility6.2
Mechanics7.5
Opening Duels1.0
Win Impact3.8

Composite 5.5/10 (Solid), 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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time577ms−90ms
first ⅓ avg 667ms → last ⅓ avg 577ms
Headshot accuracy17.3%+0.8%
first ⅓ avg 16.6% → last ⅓ avg 17.3%

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

0.16Best rating — ancient 13–3
133Biggest win — ancient
4Longest win streak
118In matches decided by ≤2 rounds
19Overtime games

Map breakdown

nukeBest map · 58% over 19ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB28141450%-0.01
nukeA1911858%-0.01
anubisB179853%-0.03
cacheA169756%-0.03
ancientD1551033%-0.00
dust242250%-0.03
mirage1010%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

281Matches
50%Win rate
1.20Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

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.

18.6%Headshot accuracy
35.4%Accuracy (enemy spotted)
31.2%Spray accuracy
83.7%Counter-strafing
9.3°Preaim
578msReaction time
33.2%T opening success
35.1%CT opening success
0.61Enemies flashed / flash
5.5%Flash assists
10.15HE damage / grenade
8.33Flashes / 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. 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 33.1646% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0010%28 Aug
cache13–100.047%28 Aug
anubis6–13-0.0415%28 Aug
inferno16–130.0015%28 Aug
inferno13–110.0219%28 Aug
cache15–15-0.0023%27 Aug
anubis13–11-0.0021%27 Aug
ancient13–100.0219%27 Aug
anubis1–13-0.0820%27 Aug
nuke13–70.0018%27 Aug
anubis13–80.0013%27 Aug
nuke10–13-0.0224%27 Aug
anubis7–13-0.0126%25 Aug
ancient4–13-0.0221%24 Aug
cache13–8-0.0123%24 Aug
anubis7–13-0.0920%24 Aug
nuke14–16-0.0249%24 Aug
nuke13–50.0216%23 Aug
ancient7–13-0.1221%23 Aug
inferno10–13-0.0419%23 Aug
ancient13–4-0.0312%21 Aug
nuke13–6-0.0421%21 Aug
cache13–11-0.0529%21 Aug
ancient9–13-0.0421%18 Aug
ancient7–130.0111%18 Aug
anubis5–13-0.0011%17 Aug
nuke8–13-0.1011%17 Aug
inferno16–140.0114%17 Aug
cache8–13-0.028%17 Aug
ancient15–150.0112%17 Aug
inferno13–70.065%17 Aug
anubis9–13-0.058%17 Aug
cache13–70.0313%17 Aug
nuke14–16-0.048%16 Aug
ancient7–130.0016%16 Aug
anubis13–10-0.069%12 Aug
inferno8–13-0.0822%11 Aug
nuke13–8-0.0123%11 Aug
inferno7–13-0.0618%11 Aug
anubis14–16-0.0212%11 Aug
nuke13–40.0322%11 Aug
cache16–12-0.0215%10 Aug
inferno11–13-0.0220%10 Aug
ancient13–30.1623%6 Aug
nuke11–130.0422%6 Aug
anubis13–30.0815%6 Aug
nuke13–70.0220%5 Aug
inferno13–70.0212%5 Aug
inferno13–11-0.0320%4 Aug
inferno8–13-0.0225%3 Aug
inferno6–130.0523%3 Aug
cache13–8-0.0618%3 Aug
inferno13–110.0733%3 Aug
ancient7–13-0.0517%3 Aug
ancient13–30.069%2 Aug
ancient13–80.013%2 Aug
ancient15–150.0212%2 Aug
inferno13–110.0220%2 Aug
cache16–13-0.0318%2 Aug
inferno13–50.0624%31 Jul
dust213–7-0.0123%31 Jul
nuke10–13-0.0414%30 Jul
inferno6–130.0018%29 Jul
nuke3–13-0.0112%29 Jul
inferno7–13-0.1033%29 Jul
mirage3–130.0017%29 Jul
nuke13–3-0.0321%28 Jul
anubis13–7-0.0422%28 Jul
dust27–13-0.0326%28 Jul
cache3–13-0.0624%28 Jul
nuke13–8-0.0910%28 Jul
cache13–10-0.0018%28 Jul
inferno13–100.0720%27 Jul
inferno16–14-0.029%27 Jul
cache6–13-0.0535%27 Jul
anubis13–10-0.0211%27 Jul
inferno13–9-0.0411%27 Jul
inferno15–15-0.0519%26 Jul
ancient14–16-0.0616%26 Jul
inferno16–130.0521%26 Jul
nuke16–140.0714%26 Jul
cache10–13-0.067%26 Jul
anubis14–16-0.0315%23 Jul
anubis16–14-0.0815%23 Jul
nuke13–4-0.0024%23 Jul
cache6–13-0.0732%22 Jul
dust216–14-0.0115%22 Jul
inferno11–13-0.028%20 Jul
anubis13–6-0.0126%20 Jul
ancient9–13-0.039%17 Jul
dust23–13-0.065%17 Jul
nuke9–13-0.0416%16 Jul
inferno15–150.0010%16 Jul
inferno4–13-0.1121%16 Jul
inferno13–70.0031%16 Jul
cache8–130.0111%16 Jul
nuke13–9-0.033%16 Jul
anubis13–7-0.0217%14 Jul
inferno9–13-0.0317%13 Jul
cache13–10-0.0413%13 Jul

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 →