Oupa Ben

Oupa Ben — CS2 Stats

ZA76561198107869427[U:1:147603699]Steam profile ↗✓ No bans

1,950Tracked matches69%Win rate2020Tracked since
3,465Hours in CS30Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating11,995Blue band · top ~44.3% of ranked players (population est.)
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 11,995 → 11,995
+1Tracked matches · now 1,950
+3.4ppWin rate · 65.5% → 69.0%
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. 45 days played since 29 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,995 +1,995 29 Jul18 Sept · 45 days played
7,55812,224peak 12,22429 Jul18 Sept
12,224Peak Premier in tracked matches
45Days played since 2026-07-29

Premier CS Rating

  • 229 below peak (12,224)
  • +4,024 over 30 days · improving
  • Next: Purple band at 15,000 3,005 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches43
Win rate28%
K/D0.98
Headshot %58%

Measured 11 Sep 202619 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,962), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.2%41.9%44.3%above
Shot accuracy12.4%9.6%11.8%above
Kill/death ratio0.990.981.030.05 short
Match win rate24.1%43.8%45.2%21.2% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGOupa BenPREMIER11,995 · Blue bandcsdb.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

Aim52
Positioning64
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY58384Last 10058%Win rateWWWLWWWLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.5pp headshot accuracy · +50ms 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 -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 669ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 20

  • 155 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

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).

Aim5.2
Utility4.7
Positioning6.4
Opening Duels3.7

Limited utility dependence

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 75% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 599ms 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

Aim5.2
Positioning6.4
Utility4.7
Mechanics6.1
Opening Duels5.3
Win Impact10.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time598ms−64ms
first ⅓ avg 662ms → last ⅓ avg 598ms
Headshot accuracy18.9%+3.7%
first ⅓ avg 15.1% → last ⅓ avg 18.9%

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

0.11Best match rating · 13–3 · cache, 12 Sept
35%Best headshot accuracy · 13–10 · cache, 18 Sept
422msFastest reaction time · 13–10 · inferno, 23 Aug
13–0Biggest win · inferno, 17 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
65In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA25141156%-0.02
dust2A2314961%-0.01
nukeS1711665%-0.02
cacheB126650%0.01
ancientS107370%-0.01
anubisS64267%0.01
mirageD62433%-0.04
train1010%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

146,661Lifetime kills
0.99K/D · Top 50% of Blue band
7,571Matches
24.1%Match win rate
51.2%Headshot % · Top 25% of Blue band
12.4%Shot accuracy · Top 50% of Blue band
10,466MVPs
2,242Hours (in match)
4,060Bombs planted
711Bombs defused

Most-used weapons

AK-4745,490
AWP10,612
Negev6,206
P2504,049
SSG 083,552
AUG3,402

Lifetime map wins

7,041dust2
6,607inferno
4,226nuke
3,349vertigo
2,071train
853lake
529office
282cbble

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

Skill profile

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

18.9%Headshot accuracy
30.3%Accuracy (enemy spotted)
29.3%Spray accuracy
77.5%Counter-strafing
10.9°Preaim
599msReaction time
55.1%T opening success
47.5%CT opening success
0.53Enemies flashed / flash
3.5%Flash assists
11.87HE damage / grenade
4.41Flashes / match

Recommended for you

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0235%18 Sept
inferno13–00.0230%17 Sept
nuke13–90.0424%17 Sept
nuke8–13-0.0818%15 Sept
inferno13–90.0115%14 Sept
nuke13–7-0.0512%14 Sept
nuke13–110.0314%14 Sept
nuke10–130.0016%13 Sept
dust28–13-0.0117%13 Sept
anubis13–80.0217%12 Sept
cache13–30.1121%12 Sept
dust213–70.0924%12 Sept
cache13–60.0416%11 Sept
inferno13–9-0.0215%11 Sept
ancient13–11-0.0220%11 Sept
inferno13–9-0.029%10 Sept
dust23–13-0.0419%10 Sept
ancient13–50.0417%9 Sept
dust213–60.0122%9 Sept
inferno10–130.0219%8 Sept
anubis9–13-0.0518%8 Sept
inferno9–13-0.0214%7 Sept
nuke13–9-0.0316%7 Sept
nuke15–150.0220%6 Sept
mirage5–13-0.1116%5 Sept
inferno13–4-0.0026%5 Sept
inferno11–13-0.0326%4 Sept
anubis13–20.0419%4 Sept
dust213–11-0.0113%4 Sept
mirage13–40.0122%3 Sept
dust28–13-0.0315%3 Sept
dust213–9-0.0217%2 Sept
cache13–70.0419%2 Sept
mirage11–13-0.0018%1 Sept
inferno8–13-0.0119%31 Aug
inferno11–13-0.0113%31 Aug
nuke8–1-0.0417%30 Aug
dust216–13-0.0224%30 Aug
cache13–9-0.0124%29 Aug
inferno13–8-0.0113%27 Aug
dust213–3-0.0129%27 Aug
dust211–13-0.0132%26 Aug
cache13–100.0621%26 Aug
dust215–15-0.0212%25 Aug
nuke9–1-0.0517%25 Aug
inferno13–50.0315%25 Aug
dust213–9-0.0523%24 Aug
inferno8–13-0.0316%24 Aug
inferno13–10-0.0315%23 Aug
nuke13–3-0.016%23 Aug
mirage4–13-0.085%23 Aug
ancient13–10-0.0118%22 Aug
mirage13–100.0123%22 Aug
ancient13–5-0.0811%22 Aug
dust215–150.0831%20 Aug
inferno13–6-0.009%20 Aug
inferno13–80.0317%19 Aug
dust213–1-0.0120%19 Aug
dust27–13-0.059%18 Aug
inferno13–40.0415%18 Aug
ancient2–13-0.0328%18 Aug
ancient13–100.0322%17 Aug
nuke13–5-0.0122%17 Aug
inferno2–13-0.0814%17 Aug
cache4–13-0.0911%17 Aug
nuke4–13-0.0717%15 Aug
inferno10–13-0.088%15 Aug
dust213–30.0523%15 Aug
ancient10–13-0.0223%14 Aug
dust213–7-0.0216%14 Aug
inferno13–10-0.0217%14 Aug
train5–13-0.069%14 Aug
nuke8–130.0317%14 Aug
dust213–100.0724%13 Aug
inferno9–13-0.0314%13 Aug
mirage7–13-0.0714%12 Aug
inferno7–130.0118%12 Aug
cache9–13-0.0114%11 Aug
ancient13–11-0.0425%11 Aug
ancient13–50.0422%10 Aug
nuke13–7-0.0524%10 Aug
dust213–9-0.0315%10 Aug
cache10–13-0.0117%9 Aug
nuke7–13-0.0414%9 Aug
anubis13–70.028%9 Aug
cache15–150.0511%7 Aug
nuke13–110.0319%6 Aug
inferno13–11-0.0113%6 Aug
dust213–4-0.0212%5 Aug
anubis13–20.0521%5 Aug
inferno13–10-0.0413%5 Aug
ancient10–13-0.0411%3 Aug
dust25–130.0110%3 Aug
cache7–13-0.047%2 Aug
cache11–13-0.0412%2 Aug
dust213–6-0.0113%2 Aug
inferno2–13-0.113%31 Jul
nuke13–5-0.0417%30 Jul
dust26–13-0.0719%30 Jul
anubis4–13-0.043%29 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →