Pengjamin®

Pengjamin® — CS2 Stats

DE76561197961498095[U:1:1232367]Steam profile ↗✓ No bans

536Tracked matches52%Win rate2020Tracked since
2,054Hours in CS9Hrs last 2 wks
CSDB Rating4.4 DevelopingClutch Specialist
Premier CS Rating9,364Light Blue band · top ~57.9% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (2 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: 9,364 -1,018 27 Jul – 30 Oct · 35 days played
7,06510,385peak 10,38527 Jul30 Oct
Faceit ELO: 1,019 +0 29 Aug – 3 Sept · 2 observations
1,0191,019peak 1,01929 Aug3 Sept
10,749Peak Premier in tracked matches
1,019Highest Faceit ELO seen on CSDB
38Days played since 2026-07-19

Faceit ELO

  • At peak — 1,019
  • Next: Level 5 at 1,051 — 32 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-29
  • Level 3 first seen 2026-08-29

Premier CS Rating

  • 1,021 below peak (10,385)
  • +697 over 30 days · improving
  • -1,018 over 90 days
  • Next: Blue band at 10,000 — 636 to go
  • Reached: Blue band · Light Blue band
  • Light Blue 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. 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate47.6%39.9%42.0%above
Shot accuracy13.8%7.0%9.6%above
Kill/death ratio1.470.920.98above
Match win rate38.4%42.3%43.8%5.4% short

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGPengjamin®PREMIER9,364 · Light Blue bandPEAK ELO1,019csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning47
Utility60

0–100 skill scores via Leetify.

Recent form

COLD40–57–3Last 10040%Win rateWWLLLLLLTL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +0.5pp headshot accuracy · +13ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 609ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.5 against its own average).

Aim5.6
Utility6.0
Positioning4.7
Opening Duels1.3
Clutch10.0

Reliable in 1v1s

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

b1t

Plays most like b1t 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning4.7
Utility6.0
Mechanics4.2
Opening Duels1.3
Win Impact5.6

Composite 4.4/10 (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+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time592ms−9ms
first ⅓ avg 602ms → last ⅓ avg 592ms
Headshot accuracy13.9%−0.6%
first ⅓ avg 14.6% → last ⅓ avg 13.9%

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 · 13–0 · cache, 6 Oct →
28%Best headshot accuracy · 13–3 · inferno, 15 Aug →
391msFastest reaction time · 10–13 · nuke, 22 Aug →
13–0Biggest win · cache, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 11cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC3011–1937%0.01
ancientB209–1145%0.00
dust2C167–944%-0.00
nukeA117–464%0.01
anubisD93–633%0.01
cacheD71–614%0.01
mirageD72–529%-0.01

Across the last 100 tracked matches.

Lifetime stats

76,051Lifetime kills
1.47K/D · Top 5% of Light Blue band
2,869Matches
38.4%Match win rate
47.6%Headshot % · Top 25% of Light Blue band
13.8%Shot accuracy · Top 25% of Light Blue band
4,832MVPs
1,149Hours (in match)
2,937Bombs planted
1,248Bombs defused

Most-used weapons

AK-4729,393
FAMAS4,369
P2501,840
AWP1,617
MP91,440

Lifetime map wins

6,256inferno
1,831dust2
1,348nuke
659cbble
647vertigo
524train
307dust
118italy

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

Faceit stats

Combat

34Matches
44%Win rate
0.84Avg K/D
69.2ADR
36%Headshot %

Clutches & streaks

71%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1164%0.8511.6
Nuke956%0.9716.7
Anubis540%0.9612.2
Ancient40%0.7413.8
Overpass30%0.243.3
Mirage250%1.0013.0

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.

14.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.3%Spray accuracy
69.0%Counter-strafing
9.9°Preaim
591msReaction time
32.6%T opening success
37.5%CT opening success
0.53Enemies flashed / flash
5.8%Flash assists
10.94HE damage / grenade
10.59Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.097% — below the 15% mark we flag

    Aim Training →
  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 32.6498% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–5-0.0012%30 Oct →
dust213–40.0226%30 Oct →
cache7–13-0.0511%26 Oct →
cache5–13-0.0017%25 Oct →
ancient8–13-0.0813%25 Oct →
anubis11–130.0515%24 Oct →
inferno5–130.0216%24 Oct →
inferno11–130.038%16 Oct →
anubis15–150.0412%16 Oct →
inferno11–13-0.0117%16 Oct →
dust213–90.0216%16 Oct →
nuke13–80.0915%15 Oct →
inferno13–110.0114%15 Oct →
mirage11–130.0211%12 Oct →
mirage16–120.0113%12 Oct →
ancient9–130.0118%11 Oct →
dust213–90.0018%10 Oct →
mirage10–130.0811%10 Oct →
inferno7–13-0.0011%9 Oct →
ancient13–50.1115%9 Oct →
nuke13–5-0.0112%9 Oct →
inferno13–90.0025%9 Oct →
dust213–50.0712%9 Oct →
inferno13–90.056%8 Oct →
nuke13–100.0319%8 Oct →
ancient7–130.0415%8 Oct →
inferno13–11-0.0315%6 Oct →
cache13–00.1315%6 Oct →
nuke10–130.0311%6 Oct →
inferno5–130.016%3 Oct →
ancient13–40.0413%1 Oct →
inferno10–130.0510%1 Oct →
ancient10–13-0.0413%29 Sept →
anubis13–7-0.029%29 Sept →
dust27–13-0.0610%25 Sept →
inferno7–13-0.0514%25 Sept →
inferno11–13-0.0514%25 Sept →
ancient13–110.0410%22 Sept →
inferno5–130.029%22 Sept →
ancient13–5-0.025%22 Sept →
anubis13–1-0.0113%22 Sept →
dust24–13-0.072%18 Sept →
inferno13–110.0211%18 Sept →
nuke13–30.0014%18 Sept →
dust27–130.069%14 Sept →
ancient16–13-0.025%14 Sept →
ancient7–13-0.0515%12 Sept →
dust213–9-0.0211%12 Sept →
dust213–100.0420%12 Sept →
ancient7–13-0.0111%11 Sept →
inferno16–140.039%11 Sept →
cache15–15-0.019%11 Sept →
inferno7–13-0.0721%8 Sept →
dust213–11-0.0417%8 Sept →
anubis10–130.0524%8 Sept →
mirage15–15-0.0417%8 Sept →
anubis11–130.019%7 Sept →
ancient5–13-0.075%7 Sept →
ancient11–130.0412%7 Sept →
cache9–130.0120%4 Sept →
mirage13–7-0.0511%4 Sept →
inferno13–110.019%3 Sept →
inferno13–110.0417%3 Sept →
inferno6–130.0724%3 Sept →
mirage7–13-0.0614%2 Sept →
inferno13–16-0.0210%2 Sept →
anubis5–13-0.0520%2 Sept →
ancient8–13-0.0313%25 Aug →
ancient13–90.044%25 Aug →
nuke13–40.1016%24 Aug →
mirage8–13-0.0215%22 Aug →
nuke10–13-0.0313%22 Aug →
nuke13–8-0.0213%22 Aug →
inferno13–60.0421%22 Aug →
nuke6–13-0.1017%22 Aug →
dust211–13-0.0719%21 Aug →
dust25–13-0.0526%21 Aug →
inferno9–130.0115%21 Aug →
cache9–13-0.0016%21 Aug →
inferno13–110.0312%20 Aug →
ancient4–130.0011%20 Aug →
inferno9–13-0.0514%20 Aug →
inferno9–13-0.0322%20 Aug →
nuke7–13-0.0212%20 Aug →
dust210–130.0814%16 Aug →
inferno6–13-0.0514%16 Aug →
nuke13–30.037%16 Aug →
inferno13–30.0328%15 Aug →
anubis8–13-0.0220%15 Aug →
inferno12–16-0.0215%27 Jul →
dust27–130.0118%27 Jul →
ancient2–13-0.0311%22 Jul →
dust23–130.016%22 Jul →
cache8–130.0112%21 Jul →
ancient13–60.1217%21 Jul →
anubis13–100.0412%21 Jul →
ancient13–70.017%21 Jul →
inferno4–130.0119%20 Jul →
dust29–13-0.0313%19 Jul →
inferno8–130.0510%19 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 →

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