拿枪的波加曼

拿枪的波加曼 — CS2 Stats

76561198049972854[U:1:89707126]Steam profile ↗✓ No bans

581Tracked matches53%Win rate2020Tracked since
CSDB Rating7.2 StrongPositional Player
Premier CS Rating19,999Top 50% of 180,525 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#75795 of 226685 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+1113Premier CS Rating · 18,886 → 19,999
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 15 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,999 -2,576 15 May18 Sept · 32 days played
17,58622,575peak 22,57515 May18 Sept
22,575Peak Premier in tracked matches
39Days played since 2026-05-15

Premier CS Rating

  • 2,576 below peak (22,575)
  • -1,289 over 30 days · declining
  • -1,514 over 90 days
  • Next: Pink band at 20,000 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-08

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

Share this profile

CSDB.GG拿枪的波加曼FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning73
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY45532Last 10045%Win rateWWWWLLLLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −5.3pp headshot accuracy · +25ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 500ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 495ms

Last 20

  • 713 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 483ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim8.8
Utility5.5
Positioning7.3
Opening Duels4.7

Sharp aimerStrong 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.

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

jL

Plays most like jL 90% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.8
Positioning7.3
Utility5.5
Mechanics7.6
Opening Duels5.1
Win Impact6.1

Composite 7.2/10 (Strong), 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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time512ms−59ms
first ⅓ avg 571ms → last ⅓ avg 512ms
Headshot accuracy18.0%+4.4%
first ⅓ avg 13.5% → last ⅓ avg 18.0%

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

0.16Best match rating · 13–4 · dust2, 1 Aug
36%Best headshot accuracy · 11–13 · inferno, 21 Aug
383msFastest reaction time · 8–13 · ancient, 12 Sept
13–2Biggest win · dust2, 18 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
97In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 51% over 35ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B35181751%0.03
infernoB27131448%0.02
nukeB115645%0.02
cacheC83538%0.02
anubisC83538%0.01
ancientD62433%-0.00
mirage3030%-0.04
overpass21150%0.01

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.2%Headshot accuracy
39.3%Accuracy (enemy spotted)
39.6%Spray accuracy
84.2%Counter-strafing
8.6°Preaim
495msReaction time
44.1%T opening success
57.0%CT opening success
0.50Enemies flashed / flash
3.9%Flash assists
13.81HE damage / grenade
7.48Flashes / 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.0413%18 Sept
dust213–70.0011%18 Sept
dust213–20.0527%18 Sept
inferno13–90.0316%18 Sept
cache10–130.0614%15 Sept
cache10–13-0.0315%12 Sept
ancient8–13-0.0121%12 Sept
inferno9–130.0216%12 Sept
mirage6–13-0.0116%5 Sept
inferno4–13-0.019%5 Sept
nuke11–130.0227%5 Sept
dust29–130.0328%5 Sept
dust24–130.0117%5 Sept
dust213–90.1419%1 Sept
anubis5–13-0.0224%1 Sept
dust213–60.1323%25 Aug
cache2–130.0117%25 Aug
inferno13–90.004%25 Aug
inferno11–130.0836%21 Aug
dust27–13-0.0216%21 Aug
nuke13–50.0021%20 Aug
dust213–90.0416%11 Aug
inferno13–90.0622%11 Aug
inferno16–140.0418%11 Aug
anubis13–110.0426%10 Aug
inferno13–90.0821%10 Aug
nuke13–110.0314%9 Aug
dust214–160.0215%9 Aug
dust213–90.0418%6 Aug
nuke13–8-0.028%3 Aug
mirage3–13-0.0610%1 Aug
dust213–40.1621%1 Aug
cache13–110.0516%26 Jul
inferno3–13-0.025%26 Jul
ancient5–130.0115%26 Jul
cache6–130.0417%26 Jul
inferno13–110.0822%25 Jul
dust23–130.0114%23 Jul
anubis13–80.0017%23 Jul
dust213–50.1332%23 Jul
inferno13–80.0413%22 Jul
dust213–70.039%22 Jul
dust28–10.033%21 Jul
ancient3–130.0913%21 Jul
nuke10–13-0.0013%21 Jul
nuke9–13-0.0523%21 Jul
dust213–100.1119%21 Jul
dust213–8-0.0118%21 Jul
dust213–70.0118%20 Jul
inferno8–13-0.0516%20 Jul
inferno9–13-0.0515%20 Jul
dust210–13-0.0012%19 Jul
inferno7–13-0.0011%19 Jul
dust211–130.0414%17 Jul
nuke5–130.0426%17 Jul
inferno13–70.0817%16 Jul
cache13–40.0717%16 Jul
dust213–9-0.0222%16 Jul
anubis7–130.0410%16 Jul
dust213–7-0.036%16 Jul
dust210–130.0716%15 Jul
cache5–130.0015%15 Jul
cache13–11-0.0119%14 Jul
anubis8–130.016%14 Jul
inferno3–13-0.0915%13 Jul
anubis13–7-0.006%13 Jul
dust24–13-0.0218%13 Jul
nuke13–100.0211%13 Jul
dust210–13-0.0510%13 Jul
inferno13–70.0711%4 Jul
anubis7–13-0.0114%4 Jul
inferno7–13-0.0113%3 Jul
nuke13–110.1012%3 Jul
dust21–13-0.0319%3 Jul
dust215–150.0412%30 Jun
overpass13–80.0620%30 Jun
dust28–130.0321%30 Jun
inferno13–80.0416%27 Jun
ancient8–13-0.0313%26 Jun
inferno8–130.0111%26 Jun
dust213–100.0114%24 Jun
inferno13–100.1121%5 Jun
dust211–130.016%5 Jun
ancient13–11-0.038%5 Jun
inferno9–13-0.0219%5 Jun
nuke13–160.0610%2 Jun
dust22–13-0.0617%2 Jun
nuke11–13-0.0314%1 Jun
dust211–13-0.0521%29 May
ancient13–5-0.0318%29 May
inferno13–4-0.018%27 May
dust213–100.0214%27 May
mirage6–13-0.063%27 May
inferno3–13-0.0116%26 May
inferno8–130.014%26 May
dust24–13-0.0218%26 May
inferno13–80.0614%15 May
anubis9–130.0118%15 May
inferno15–150.0112%15 May
overpass3–13-0.0511%15 May

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 →