wumBa

wumBa — CS2 Stats

76561198123809685[U:1:163543957]Steam profile ↗✓ No bans

640Tracked matches55%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating24,999Top 25% of 192,959 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#21191 of 239296 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

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. 52 days played since 18 Jun 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: 24,999 +2,819 18 Jun22 Sept · 33 days played
18,88924,999peak 24,99918 Jun22 Sept
24,999Peak Premier in tracked matches
1,841Highest Faceit ELO seen on CSDB
52Days played since 2026-06-18

Premier CS Rating

  • At peak — 24,999
  • +218 over 30 days · steady
  • +6,110 over 90 days
  • Next: Red band at 25,000 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGwumBaFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,999 · Pink bandPEAK ELO1,841csdb.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

Aim83
Positioning57
Utility47

0–100 skill scores via Leetify.

Recent form

HOT48493Last 10048%Win rateWWLLWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −2.6pp headshot accuracy · +27ms reaction

Win rate up 30pp 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 545ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 532ms

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 (+1.4 against its own average).

Aim8.3
Utility4.7
Positioning5.7
Opening Duels3.1
Clutch3.8

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

iM

Plays most like iM 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success.

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

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

Aim8.3
Positioning5.7
Utility4.7
Mechanics7.1
Opening Duels3.9
Win Impact6.7

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time532ms−35ms
first ⅓ avg 566ms → last ⅓ avg 532ms
Headshot accuracy21.5%+1.2%
first ⅓ avg 20.3% → last ⅓ avg 21.5%

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 · 13–3 · ancient, 29 Jul
41%Best headshot accuracy · 7–13 · inferno, 20 Jun
422msFastest reaction time · 16–14 · anubis, 13 Sept
13–0Biggest win · cache, 22 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
134In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 63% over 8ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB24111346%0.00
nukeA169756%0.01
dust2C146843%0.02
anubisA127558%0.02
infernoC125742%-0.00
ancientC114736%0.04
cacheA85363%0.03
overpass31233%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

240Matches
60%Win rate
1.30Avg K/D
82.2ADR
36%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4356%1.1015.9
Dust22972%1.3016.9
Inferno2658%1.1516.1
Ancient2060%1.0515.4
Anubis1771%1.5120.7
Nuke1258%1.2716.9
Train4100%2.1417.5
Cache30%1.3921.7

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.

21.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
35.3%Spray accuracy
82.0%Counter-strafing
8.4°Preaim
529msReaction time
44.2%T opening success
46.7%CT opening success
0.46Enemies flashed / flash
6.4%Flash assists
10.53HE damage / grenade
8.31Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4573 — below the 0.5 mark we flag

    Grenade Lineups
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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–00.0030%22 Sept
anubis13–00.010%22 Sept
inferno5–13-0.0422%17 Sept
mirage8–13-0.0320%17 Sept
anubis16–120.0516%16 Sept
nuke8–13-0.0416%15 Sept
nuke13–4-0.0131%14 Sept
anubis16–14-0.0026%13 Sept
dust213–60.0515%13 Sept
mirage13–10.0736%13 Sept
nuke13–8-0.0132%13 Sept
inferno13–5-0.0021%13 Sept
inferno5–130.0523%12 Sept
cache13–80.0124%10 Sept
ancient15–15-0.0030%8 Sept
mirage8–130.0936%8 Sept
mirage7–13-0.0517%6 Sept
nuke7–130.0217%6 Sept
mirage9–13-0.0621%3 Sept
mirage16–14-0.0417%2 Sept
mirage13–70.0418%30 Aug
nuke13–60.0217%26 Aug
mirage6–13-0.0516%25 Aug
ancient11–13-0.0027%25 Aug
mirage12–16-0.0322%18 Aug
cache14–160.0815%18 Aug
nuke13–50.0220%18 Aug
ancient13–110.0720%17 Aug
ancient13–30.0624%13 Aug
anubis3–13-0.0216%13 Aug
anubis13–80.1131%12 Aug
cache6–13-0.0319%12 Aug
mirage13–160.0115%9 Aug
ancient9–13-0.0513%9 Aug
inferno13–80.0420%9 Aug
mirage13–80.0424%9 Aug
anubis11–130.0615%7 Aug
cache13–6-0.0116%7 Aug
dust20–13-0.0417%5 Aug
nuke13–70.0319%4 Aug
cache10–130.059%4 Aug
inferno13–110.018%3 Aug
mirage13–100.0013%3 Aug
nuke4–13-0.1023%31 Jul
inferno1–13-0.059%31 Jul
nuke13–30.129%30 Jul
ancient13–30.1614%29 Jul
dust213–110.0218%29 Jul
mirage13–2-0.014%28 Jul
ancient10–130.0413%28 Jul
mirage10–13-0.0713%27 Jul
nuke4–13-0.046%27 Jul
anubis5–13-0.022%24 Jul
inferno7–13-0.047%23 Jul
nuke13–50.037%23 Jul
mirage13–9-0.0118%23 Jul
dust216–140.0522%22 Jul
nuke16–140.0823%22 Jul
inferno5–130.0116%21 Jul
anubis13–9-0.0413%20 Jul
nuke13–110.0212%20 Jul
mirage4–13-0.0415%20 Jul
mirage5–13-0.057%19 Jul
inferno5–13-0.0513%19 Jul
nuke10–13-0.0125%19 Jul
dust214–160.0315%18 Jul
ancient13–110.1120%18 Jul
cache13–80.0622%18 Jul
anubis8–13-0.0116%17 Jul
dust28–130.0117%10 Jul
dust216–130.0317%9 Jul
mirage13–110.0321%9 Jul
anubis13–30.0714%9 Jul
cache13–50.0521%9 Jul
dust26–130.0229%9 Jul
dust210–130.0740%6 Jul
inferno13–110.0315%6 Jul
mirage13–80.0026%6 Jul
dust213–40.0640%5 Jul
nuke9–130.0218%5 Jul
anubis13–11-0.0023%5 Jul
mirage13–110.0616%29 Jun
dust210–13-0.0622%29 Jun
nuke7–130.0314%28 Jun
inferno13–60.0421%27 Jun
mirage13–90.0510%26 Jun
dust213–80.0511%25 Jun
overpass12–16-0.0423%24 Jun
ancient13–160.0114%23 Jun
mirage15–150.0219%23 Jun
ancient9–13-0.0410%23 Jun
overpass15–15-0.0010%23 Jun
dust23–70.0131%23 Jun
dust24–7-0.0425%21 Jun
mirage9–130.049%20 Jun
inferno7–130.0041%20 Jun
mirage10–130.0411%19 Jun
ancient7–130.0717%18 Jun
anubis9–130.0019%18 Jun
overpass13–90.0529%18 Jun

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 →