Bazza-

Bazza- — CS2 Stats

GH76561197987526197[U:1:27260469]Steam profile ↗✓ No bans

5,225Tracked matches41%Win rate2020Tracked since
6,086Hours in CS11Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating26,455Red band · top ~2.3% of ranked players (population est.)
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGBazza-FACEITLevel 10STANDINGTop 12.4% of rankedPREMIER26,455 · Red bandcsdb.gg/stats

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Performance scores

Aim71
Positioning80
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateWLLTLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +6.1pp headshot accuracy · −6ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 494ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 566ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim7.1
Utility5.7
Positioning8.0
Opening Duels6.0
Clutch5.0

Strong positioning

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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim7.1
Positioning8.0
Utility5.7
Mechanics4.8
Opening Duels7.4
Win Impact2.1

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time550ms+33ms
first ⅓ avg 517ms → last ⅓ avg 550ms
Headshot accuracy20.5%+0.5%
first ⅓ avg 20.0% → last ⅓ avg 20.5%

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

0.12Best match rating · 13–8 · anubis, 8 Sept →
53%Best headshot accuracy · 13–8 · cache, 11 Aug →
367msFastest reaction time · 10–13 · ancient, 18 Sept →
13–2Biggest win · cache, 14 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 60% over 15infernoWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD217–1433%0.00
ancientC198–1142%0.02
anubisA159–660%0.01
dust2D124–833%0.02
nukeC114–736%0.00
cacheB105–550%0.00
mirage—41–325%0.02
debris—31–233%-0.00
fachwerk—21–150%-0.03
poseidon—10–10%-0.08
eldorado—10–10%-0.16
boulder—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

169,967Lifetime kills
1.10K/D
7,903Matches
47.9%Match win rate
38.1%Headshot %
10.3%Shot accuracy
21,903MVPs
3,762Hours (in match)
11,014Bombs planted
2,427Bombs defused

Most-used weapons

AK-4750,516
AWP35,249
MAC-105,156
MP93,610
Knife2,235

Lifetime map wins

18,101inferno
9,849dust2
5,189nuke
3,900vertigo
2,856train
1,125cbble
222italy
144office

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

Faceit stats

Combat

1,781Matches
52%Win rate
1.20Avg K/D
79.2ADR
39%Headshot %

Clutches & streaks

45%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis26752%1.2016.6
Ancient24253%1.1816.4
Inferno18959%1.1916.8
Dust215746%1.1115.5
Vertigo8159%1.1915.8
Nuke6548%1.0314.4
Overpass5052%1.2115.1
Train1937%0.9915.5

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.

19.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.5%Spray accuracy
71.4%Counter-strafing
9.1°Preaim
536msReaction time
59.2%T opening success
60.1%CT opening success
0.56Enemies flashed / flash
8.1%Flash assists
8.52HE damage / grenade
11.01Flashes / match

Recommended for you

Spend your practice time on Inferno

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 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0319%12 Nov →
anubis14–160.0311%12 Nov →
inferno10–13-0.0120%12 Nov →
poseidon8–8-0.0819%7 Nov →
eldorado2–9-0.1638%7 Nov →
debris9–20.0324%7 Nov →
inferno13–90.0517%2 Nov →
ancient13–160.0719%2 Nov →
dust28–130.0347%2 Nov →
ancient13–70.0434%31 Oct →
mirage15–15-0.0222%29 Oct →
ancient6–13-0.043%29 Oct →
nuke13–110.0226%26 Oct →
ancient7–13-0.0520%21 Oct →
inferno2–13-0.0619%17 Oct →
ancient13–8-0.0720%17 Oct →
boulder13–100.0610%17 Oct →
fachwerk7–13-0.0314%16 Oct →
dust27–13-0.0519%16 Oct →
dust25–130.0336%16 Oct →
ancient5–130.0321%16 Oct →
anubis13–70.0239%16 Oct →
nuke4–13-0.0110%16 Oct →
mirage13–110.0210%16 Oct →
dust24–130.0116%16 Oct →
anubis13–80.0114%16 Oct →
nuke7–130.0618%16 Oct →
anubis3–13-0.0520%14 Oct →
anubis3–13-0.0513%10 Oct →
anubis13–70.0116%8 Oct →
nuke13–50.0512%3 Oct →
inferno1–13-0.0627%3 Oct →
inferno16–12-0.0423%3 Oct →
debris8–8-0.0123%29 Sept →
debris5–9-0.0316%29 Sept →
inferno11–13-0.0924%29 Sept →
ancient13–110.0423%27 Sept →
cache13–8-0.0812%26 Sept →
nuke4–13-0.0623%25 Sept →
nuke9–13-0.0410%25 Sept →
inferno7–130.0126%25 Sept →
dust213–110.0524%25 Sept →
cache9–130.036%25 Sept →
mirage11–130.0522%25 Sept →
mirage7–130.024%24 Sept →
dust210–13-0.0229%24 Sept →
anubis13–60.0814%24 Sept →
nuke8–130.0127%24 Sept →
inferno16–140.0519%21 Sept →
dust213–80.1020%18 Sept →
ancient10–13-0.0413%18 Sept →
inferno10–13-0.0327%18 Sept →
anubis13–110.0720%17 Sept →
nuke13–11-0.0514%17 Sept →
ancient13–80.0422%17 Sept →
ancient13–50.1018%16 Sept →
nuke11–13-0.0114%16 Sept →
dust213–100.0522%14 Sept →
inferno6–13-0.0219%8 Sept →
anubis13–80.1220%8 Sept →
inferno5–130.0246%4 Sept →
cache14–160.0313%3 Sept →
dust211–13-0.0214%2 Sept →
anubis0–3-0.0514%1 Sept →
ancient14–16-0.0125%31 Aug →
inferno13–90.0513%30 Aug →
cache13–100.0423%15 Aug →
anubis6–13-0.0615%15 Aug →
ancient11–13-0.0614%15 Aug →
dust211–130.0128%14 Aug →
inferno16–140.0319%14 Aug →
cache10–130.019%14 Aug →
ancient15–150.0415%14 Aug →
cache13–20.0121%14 Aug →
inferno7–130.0612%13 Aug →
cache13–8-0.0153%11 Aug →
inferno10–13-0.0117%8 Aug →
ancient12–160.0112%8 Aug →
ancient6–130.0223%6 Aug →
inferno4–13-0.078%6 Aug →
cache3–13-0.0220%6 Aug →
inferno15–15-0.0014%5 Aug →
inferno5–13-0.0126%4 Aug →
anubis1–13-0.0222%4 Aug →
nuke7–130.0227%4 Aug →
anubis13–3-0.0314%3 Aug →
dust25–130.0625%3 Aug →
cache12–160.0317%3 Aug →
ancient13–80.0820%2 Aug →
dust213–90.029%2 Aug →
inferno15–150.0223%2 Aug →
ancient8–13-0.0018%2 Aug →
anubis13–90.0139%2 Aug →
inferno13–50.0439%1 Aug →
ancient13–30.1014%1 Aug →
anubis13–110.0120%1 Aug →
inferno13–110.1218%1 Aug →
ancient13–80.0711%25 Jul →
cache13–10-0.0220%25 Jul →
fachwerk13–3-0.0321%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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