Bamm-Bamm

Bamm-Bamm — CS2 Stats

DE76561199085897964[U:1:1125632236]Steam profile ↗✓ No bans

2,371Tracked matches55%Win rate2020Tracked since
2,688Hours in CS7Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating6,291Light Blue band · top ~72.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 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: 6,291 +1,003 6 Jul – 27 Oct · 10 days played
4,7386,291peak 6,2916 Jul27 Oct
6,291Peak Premier in tracked matches
953Highest Faceit ELO seen on CSDB
31Days played since 2024-12-21

Premier CS Rating

  • At peak — 6,291
  • +1,292 over 30 days · improving
  • Next: Blue band at 10,000 — 3,709 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate46.9%42.7%43.8%above
Shot accuracy13.1%11.2%12.0%above
Kill/death ratio1.040.991.02above
Match win rate44.8%43.9%44.7%meets

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGBamm-BammFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER6,291 · Light Blue bandPEAK ELO953csdb.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

Aim63
Positioning56
Utility59

0–100 skill scores via Leetify.

Recent form

COLD39–50–11Last 10039%Win rateLLLTLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −1.2pp headshot accuracy · −95ms reaction

Win rate down 20pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 471ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 515ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

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 (+2.4 against its own average).

Aim6.3
Utility5.9
Positioning5.6
Opening Duels2.7
Clutch0.0

Effective 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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 607ms 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

Aim6.3
Positioning5.6
Utility5.9
Mechanics6.0
Opening Duels3.8
Win Impact6.7

Composite 5.3/10 (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 rating-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time563ms−118ms
first ⅓ avg 681ms → last ⅓ avg 563ms
Headshot accuracy17.6%−1.5%
first ⅓ avg 19.1% → last ⅓ avg 17.6%

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

0.33Best match rating · 9–1 · nuke, 26 Oct →
40%Best headshot accuracy · 6–9 · inferno, 17 Aug →
352msFastest reaction time · 5–9 · inferno, 28 Oct →
13–0Biggest win · ancient, 19 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 50% over 8mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC239–1439%-0.05
dust2C187–1139%-0.01
ancientB136–746%-0.02
nukeB84–450%0.01
overpassD61–517%-0.11
debrisD61–517%-0.04
cacheB63–350%-0.04
poseidonC52–340%-0.01
mirageD50–50%-0.02
eldorado—43–175%0.01
vertigo—43–175%-0.02
anubis—10–10%0.03
office—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,246Lifetime kills
1.04K/D · Top 50% of Level 4 players
5,015Matches
44.8%Match win rate · Top 50% of Level 4 players
46.9%Headshot % · Top 50% of Level 4 players
13.1%Shot accuracy · Top 50% of Level 4 players
10,868MVPs
1,480Hours (in match)
4,936Bombs planted
876Bombs defused

Most-used weapons

AK-4715,757
P905,572
AWP4,469
Tec-92,357
AUG2,336

Lifetime map wins

10,063dust2
8,608inferno
2,335nuke
2,079vertigo
558office
480cbble
407train
323italy

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

Faceit stats

Combat

30Matches
43%Win rate
0.83Avg K/D
54.2ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke757%0.9111.4
Inferno425%0.8613.0
Vertigo250%1.1215.0
Anubis250%1.0214.5
Ancient20%0.609.0
Mirage10%0.5012.0

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.

18.3%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.7%Spray accuracy
77.1%Counter-strafing
9.1°Preaim
607msReaction time
45.0%T opening success
45.8%CT opening success
0.71Enemies flashed / flash
6.2%Flash assists
8.57HE damage / grenade
12.48Flashes / 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–90.0115%28 Oct →
inferno5–9-0.0723%28 Oct →
eldorado7–9-0.0711%28 Oct →
poseidon8–80.0415%28 Oct →
overpass4–9-0.1618%28 Oct →
eldorado9–1-0.098%28 Oct →
inferno16–120.0511%27 Oct →
dust210–130.0216%27 Oct →
debris7–90.0228%26 Oct →
vertigo9–40.1422%26 Oct →
nuke9–10.3320%26 Oct →
inferno8–8-0.0520%26 Oct →
mirage7–13-0.028%15 Oct →
ancient3–13-0.0427%15 Oct →
ancient13–10-0.0013%15 Oct →
dust215–150.0014%14 Oct →
ancient13–8-0.0317%14 Oct →
ancient13–30.0713%14 Oct →
ancient13–70.0223%12 Oct →
dust27–13-0.0223%12 Oct →
nuke13–160.0124%12 Oct →
mirage10–130.0114%12 Oct →
inferno13–10-0.0523%9 Oct →
inferno13–5-0.0221%2 Oct →
inferno10–13-0.0429%2 Oct →
mirage2–13-0.0414%2 Oct →
ancient13–00.0012%19 Sept →
ancient13–100.0217%19 Sept →
ancient12–16-0.0411%19 Sept →
inferno13–70.0423%19 Sept →
ancient8–13-0.0416%12 Sept →
dust212–16-0.0216%12 Sept →
nuke13–10-0.0017%12 Sept →
inferno9–50.0718%7 Sept →
nuke9–7-0.0115%7 Sept →
overpass9–40.0711%7 Sept →
eldorado9–60.0631%7 Sept →
inferno3–9-0.2625%7 Sept →
poseidon9–5-0.0717%7 Sept →
debris5–9-0.1814%7 Sept →
cache13–11-0.0315%6 Sept →
dust213–100.0118%6 Sept →
inferno9–13-0.0427%6 Sept →
cache13–11-0.0521%5 Sept →
mirage10–13-0.0422%1 Sept →
dust213–9-0.0124%30 Aug →
dust213–110.0023%30 Aug →
ancient10–13-0.0526%22 Aug →
cache13–80.0111%19 Aug →
dust213–50.0326%19 Aug →
ancient9–13-0.0719%19 Aug →
dust29–13-0.0223%18 Aug →
inferno9–7-0.0222%18 Aug →
mirage9–13-0.0221%17 Aug →
inferno6–9-0.1040%17 Aug →
inferno5–9-0.0922%17 Aug →
inferno12–12-0.0920%12 Aug →
inferno6–90.0019%12 Aug →
poseidon4–90.0626%12 Aug →
overpass3–9-0.220%12 Aug →
dust210–13-0.0531%23 Jul →
inferno13–90.0332%23 Jul →
dust27–13-0.0415%22 Jul →
debris3–9-0.147%20 Jul →
poseidon8–80.0012%20 Jul →
nuke4–9-0.190%20 Jul →
overpass6–9-0.150%20 Jul →
inferno8–80.0026%20 Jul →
dust24–13-0.0621%20 Jul →
dust215–150.0429%20 Jul →
debris4–9-0.0618%18 Jul →
poseidon9–7-0.0828%18 Jul →
nuke8–8-0.0320%18 Jul →
vertigo9–40.0522%18 Jul →
inferno9–6-0.0516%18 Jul →
overpass7–9-0.1010%18 Jul →
nuke16–13-0.0316%18 Jul →
overpass8–8-0.1213%16 Jul →
debris9–00.0813%16 Jul →
inferno9–6-0.1122%16 Jul →
vertigo9–4-0.074%16 Jul →
ancient2–10-0.110%14 Jul →
vertigo8–8-0.1835%14 Jul →
eldorado9–30.1516%14 Jul →
debris8–80.0519%14 Jul →
cache11–13-0.0626%12 Jul →
inferno10–13-0.0420%12 Jul →
ancient8–13-0.0015%10 Jul →
inferno10–130.0123%10 Jul →
dust23–00.0425%10 Jul →
dust24–13-0.0118%8 Jul →
inferno0–9-0.229%8 Jul →
anubis11–130.0316%8 Jul →
cache6–13-0.0623%8 Jul →
dust29–130.0021%7 Jul →
dust213–11-0.0417%7 Jul →
office8–13-0.0533%7 Jul →
cache5–13-0.0619%7 Jul →
dust213–70.0212%7 Jul →
inferno2–13-0.0129%6 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 →

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