BenZamYSS =)

BenZamYSS =) — CS2 Stats

FI76561198147350430[U:1:187084702]Steam profile ↗✓ No bans

3,911Tracked matches53%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating18,521Purple band · top ~14.4% of ranked players (population est.)
FaceitLevel 9 · 2,008 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,521 → 18,521
0Faceit ELO · 2,008 → 2,008
+89Tracked matches · now 3,911
−14.7ppWin rate · 68.0% → 53.3%

Rating over time

Premier CS Rating: 18,521 -60 13 Jul – 20 Sept · 9 days played
18,11219,194peak 19,19413 Jul20 Sept
Faceit ELO: 2,008 +0 31 Aug – 20 Sept · 4 observations
2,0082,008peak 2,00831 Aug20 Sept
19,493Peak Premier in tracked matches
2,008Highest Faceit ELO seen on CSDB
52Days played since 2026-06-29

Faceit ELO

  • At peak — 2,008
  • Next: 2,500 ELO at 2,500 — 492 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier CS Rating

  • 673 below peak (19,194)
  • Next: Pink band at 20,000 — 1,479 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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.

Share this profile

CSDB.GGBenZamYSS =)FACEITLevel 9 · 2,008 ELOSTANDINGTop 20.7% of rankedPREMIER18,521 · Purple bandPEAK ELO2,008csdb.gg/stats

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Performance scores

Aim58
Positioning64
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY52–40–8Last 10052%Win rateWLWLWWLWLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −5.0pp headshot accuracy · −110ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 591ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 646ms

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 (+1.7 against its own average).

Aim5.8
Utility7.1
Positioning6.4
Opening Duels4.2
Clutch4.0

Strong CT-side openerEffective flashes

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 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 610ms 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

Aim5.8
Positioning6.4
Utility7.1
Mechanics4.8
Opening Duels5.5
Win Impact6.1

Composite 6.0/10 (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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time636ms−62ms
first ⅓ avg 698ms → last ⅓ avg 636ms
Headshot accuracy23.4%−1.6%
first ⅓ avg 25.0% → last ⅓ avg 23.4%

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

0.12Best match rating · 9–5 · nuke, 7 Jul →
56%Best headshot accuracy · 12–12 · nuke, 21 Jul →
375msFastest reaction time · 10–13 · anubis, 10 Sept →
13–0Biggest win · dust2, 9 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 62% over 13anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2815–1354%-0.02
dust2A138–562%0.01
ancientA127–558%-0.00
mirageA127–558%-0.01
trainA106–460%0.02
anubisD61–517%-0.02
infernoA53–260%-0.01
cache—43–175%0.01
vertigo—31–233%0.05
eldorado—30–30%-0.01
italy—21–150%0.04
overpass—20–20%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,305Matches
51%Win rate
0.96Avg K/D
74.2ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage44654%0.9114.6
Nuke32558%0.9714.2
Ancient26751%0.8413.6
Dust215438%0.8213.5
Anubis10444%0.8213.3
Vertigo6742%0.8213.5
Train5252%0.9816.1
Inferno4443%0.8614.5

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.

21.0%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.5%Spray accuracy
71.8%Counter-strafing
9.6°Preaim
610msReaction time
46.6%T opening success
57.5%CT opening success
0.70Enemies flashed / flash
10.8%Flash assists
10.56HE damage / grenade
10.60Flashes / match

Recommended for you

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0525%15 Oct →
inferno4–13-0.0317%14 Oct →
nuke25–22-0.0115%13 Oct →
nuke9–130.0010%13 Oct →
nuke13–6-0.0525%13 Oct →
ancient16–120.0328%11 Oct →
anubis3–13-0.0425%9 Oct →
mirage19–15-0.0313%8 Oct →
ancient4–13-0.017%8 Oct →
nuke13–80.0023%7 Oct →
nuke0–13-0.1127%6 Oct →
dust24–13-0.0315%29 Sept →
nuke13–110.0821%29 Sept →
ancient13–60.0216%26 Sept →
ancient11–130.0017%26 Sept →
italy7–10.0740%25 Sept →
train2–130.0429%21 Sept →
mirage4–13-0.0431%21 Sept →
nuke2–13-0.1018%20 Sept →
nuke13–80.0224%20 Sept →
train13–30.1122%16 Sept →
ancient13–100.0123%14 Sept →
nuke13–110.0333%11 Sept →
mirage13–100.0224%11 Sept →
anubis10–13-0.0619%10 Sept →
ancient16–120.0415%4 Sept →
vertigo11–130.0627%2 Sept →
mirage5–13-0.0324%2 Sept →
nuke13–2-0.0321%2 Sept →
anubis14–16-0.0421%1 Sept →
mirage5–13-0.0132%31 Aug →
train7–10.0144%25 Aug →
nuke5–0-0.0440%25 Aug →
nuke13–9-0.0318%19 Aug →
dust212–12-0.0120%19 Aug →
train12–120.0036%13 Aug →
train13–3-0.0412%13 Aug →
train6–130.0429%12 Aug →
dust213–5-0.0430%12 Aug →
nuke13–9-0.0535%9 Aug →
dust212–12-0.0025%9 Aug →
mirage13–70.0422%3 Aug →
nuke13–70.0535%2 Aug →
train13–110.0224%2 Aug →
vertigo5–13-0.0126%1 Aug →
nuke9–13-0.1016%31 Jul →
dust213–90.0826%28 Jul →
ancient13–10-0.0122%26 Jul →
train12–12-0.0329%25 Jul →
italy12–120.0241%24 Jul →
nuke1–9-0.3033%24 Jul →
eldorado5–9-0.0711%24 Jul →
vertigo9–70.0844%24 Jul →
nuke9–50.0326%23 Jul →
overpass6–9-0.130%23 Jul →
inferno9–50.0419%23 Jul →
nuke12–12-0.0356%21 Jul →
dust213–60.0026%21 Jul →
inferno13–8-0.0120%19 Jul →
train13–80.0018%19 Jul →
dust213–10-0.0324%16 Jul →
dust22–13-0.0318%15 Jul →
nuke6–130.0227%15 Jul →
anubis11–130.0332%14 Jul →
ancient11–13-0.0032%14 Jul →
cache13–6-0.0025%14 Jul →
eldorado5–90.0332%13 Jul →
ancient12–160.0221%13 Jul →
mirage13–20.0419%13 Jul →
anubis15–15-0.0216%12 Jul →
ancient4–1-0.0317%12 Jul →
mirage13–10-0.0221%12 Jul →
ancient6–13-0.0719%11 Jul →
mirage11–13-0.0420%11 Jul →
cache5–13-0.0520%11 Jul →
dust213–50.0429%10 Jul →
nuke13–40.0731%10 Jul →
mirage13–110.0539%10 Jul →
nuke4–13-0.0123%10 Jul →
dust216–130.0830%10 Jul →
nuke8–8-0.0230%10 Jul →
dust27–13-0.0417%10 Jul →
mirage6–13-0.0339%9 Jul →
ancient13–11-0.0116%9 Jul →
anubis13–60.0416%9 Jul →
nuke10–13-0.0612%9 Jul →
dust213–00.1231%9 Jul →
eldorado4–90.0235%9 Jul →
mirage13–8-0.0332%8 Jul →
overpass6–9-0.0326%7 Jul →
nuke9–50.1218%7 Jul →
nuke9–7-0.0131%6 Jul →
inferno9–20.0816%6 Jul →
nuke3–13-0.0032%3 Jul →
dust213–50.0224%3 Jul →
train13–100.0129%1 Jul →
nuke5–9-0.0817%30 Jun →
inferno4–9-0.1531%30 Jun →
nuke10–130.0044%29 Jun →
cache13–90.0528%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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