Boppel

Boppel — CS2 Stats

76561198057055165[U:1:96789437]Steam profile ↗✓ No bans

637Tracked matches46%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating16,634Purple band · top ~21.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,634 -3,579 29 Aug – 27 Oct · 30 days played
16,63420,578peak 20,57829 Aug27 Oct
20,578Peak Premier in tracked matches
29Days played since 2026-08-29

Premier CS Rating

  • 3,944 below peak (20,578)
  • -1,971 over 30 days · declining
  • Next: Pink band at 20,000 — 3,366 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGBoppelFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,634 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning56
Utility73

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLTWLWLWLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −4.8pp headshot accuracy · +2ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 550ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 605ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 604ms

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: Support — Utility contribution stands above the rest of this profile (+3.2 against its own average).

Aim6.9
Utility7.3
Positioning5.6
Opening Duels3.4
Clutch0.0

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

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim 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

Reaction time. 604ms 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

Aim6.9
Positioning5.6
Utility7.3
Mechanics6.9
Opening Duels4.6
Win Impact3.8

Composite 6.2/10 (Solid), 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-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time613ms−11ms
first ⅓ avg 624ms → last ⅓ avg 613ms
Headshot accuracy22.8%+5.6%
first ⅓ avg 17.2% → last ⅓ avg 22.8%

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

0.13Best match rating · 13–9 · inferno, 29 Sept →
47%Best headshot accuracy · 13–9 · inferno, 29 Sept →
453msFastest reaction time · 13–6 · inferno, 25 Sept →
13–2Biggest win · cache, 1 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 71% over 14ancientWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%-0.01
nukeA2212–1055%-0.01
anubisC167–944%-0.02
cacheS1410–471%0.00
ancientD101–910%-0.00
dust2D81–713%-0.03
mirageC52–340%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

282Matches
50%Win rate
1.20Avg K/D
97.3ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

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.

21.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.5%Spray accuracy
81.1%Counter-strafing
10.1°Preaim
604msReaction time
53.4%T opening success
43.7%CT opening success
0.65Enemies flashed / flash
9.9%Flash assists
14.51HE damage / grenade
9.04Flashes / match

Recommended for you

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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–130.0130%27 Oct →
inferno15–15-0.0116%14 Oct →
inferno13–80.0723%13 Oct →
mirage14–160.0514%9 Oct →
dust213–70.0118%9 Oct →
anubis8–13-0.0117%9 Oct →
anubis13–8-0.0336%9 Oct →
nuke11–13-0.0717%8 Oct →
ancient9–130.0115%7 Oct →
dust26–13-0.0118%7 Oct →
cache10–13-0.0322%7 Oct →
inferno3–13-0.0225%4 Oct →
dust21–13-0.1033%1 Oct →
mirage8–13-0.0817%1 Oct →
cache13–110.0318%1 Oct →
cache13–2-0.0242%1 Oct →
nuke13–30.0320%30 Sept →
inferno13–50.0410%29 Sept →
anubis10–13-0.0516%29 Sept →
inferno13–90.1347%29 Sept →
mirage13–50.0024%29 Sept →
inferno13–6-0.0226%29 Sept →
inferno15–15-0.0323%29 Sept →
dust24–13-0.0329%29 Sept →
nuke13–100.0220%28 Sept →
inferno9–13-0.0226%28 Sept →
dust26–13-0.0426%28 Sept →
mirage13–90.0613%28 Sept →
cache13–50.0418%28 Sept →
dust28–13-0.0414%28 Sept →
inferno3–13-0.0730%27 Sept →
cache7–13-0.0219%27 Sept →
ancient9–130.0932%26 Sept →
nuke13–7-0.0023%26 Sept →
ancient13–40.0922%26 Sept →
cache16–140.0215%25 Sept →
inferno13–60.0112%25 Sept →
anubis5–130.0037%23 Sept →
dust27–130.0123%23 Sept →
nuke13–5-0.0124%23 Sept →
anubis10–130.0111%22 Sept →
inferno13–10-0.0118%22 Sept →
nuke5–13-0.098%22 Sept →
nuke13–60.0416%22 Sept →
nuke7–13-0.0610%21 Sept →
cache13–11-0.0314%21 Sept →
inferno16–12-0.0124%21 Sept →
nuke13–40.0027%21 Sept →
nuke2–13-0.0024%21 Sept →
inferno14–16-0.0414%21 Sept →
inferno5–13-0.095%15 Sept →
nuke5–13-0.0223%14 Sept →
nuke13–110.0219%14 Sept →
anubis10–13-0.0321%14 Sept →
inferno16–120.0921%14 Sept →
cache13–90.0630%14 Sept →
anubis10–13-0.0413%14 Sept →
inferno13–10-0.0431%14 Sept →
anubis15–15-0.0511%13 Sept →
cache13–5-0.0213%13 Sept →
inferno6–13-0.0115%13 Sept →
anubis13–20.0219%13 Sept →
nuke13–3-0.0117%13 Sept →
anubis13–9-0.019%13 Sept →
anubis3–13-0.1221%13 Sept →
inferno5–130.0212%13 Sept →
nuke13–9-0.0116%13 Sept →
cache13–10-0.0312%12 Sept →
nuke8–13-0.0220%12 Sept →
ancient2–13-0.0134%12 Sept →
inferno8–130.0016%12 Sept →
nuke16–140.0713%11 Sept →
cache13–7-0.0013%11 Sept →
nuke1–13-0.0511%11 Sept →
cache11–130.0320%11 Sept →
inferno5–13-0.0928%11 Sept →
nuke13–70.0317%11 Sept →
inferno13–90.0215%11 Sept →
ancient9–13-0.0416%11 Sept →
inferno7–13-0.0412%11 Sept →
cache6–13-0.0319%11 Sept →
anubis13–60.009%11 Sept →
nuke13–100.0219%11 Sept →
anubis13–7-0.0115%11 Sept →
ancient6–13-0.0412%10 Sept →
inferno3–13-0.0232%5 Sept →
ancient5–13-0.0736%5 Sept →
anubis13–10-0.008%5 Sept →
inferno6–130.0421%4 Sept →
nuke11–13-0.0711%4 Sept →
ancient5–13-0.0424%4 Sept →
anubis13–100.0123%4 Sept →
ancient11–13-0.0312%3 Sept →
inferno7–13-0.0913%3 Sept →
ancient14–160.0220%2 Sept →
anubis5–13-0.046%2 Sept →
nuke4–13-0.0517%31 Aug →
nuke14–16-0.0413%31 Aug →
cache13–60.0213%30 Aug →
dust29–13-0.0619%30 Aug →

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 →

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