Bsuna

Bsuna — CS2 Stats

PE76561198036326569[U:1:76060841]Steam profile ↗✓ No bans

793Tracked matches47%Win rate2020Tracked since
CSDB Rating6.2 SolidClutch Specialist
Premier CS Rating20,437Pink band · top ~8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGBsunaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,437 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLWLLLWLLWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.8pp headshot accuracy · +4ms reaction

Win rate down 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 25%
  • Avg reaction 641ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 669ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 667ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim7.1
Utility5.3
Positioning5.8
Opening Duels5.9
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

device

Plays most like device 94% 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. 665ms 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

Aim7.1
Positioning5.8
Utility5.3
Mechanics7.4
Opening Duels5.3
Win Impact3.9

Composite 6.2/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time673ms+28ms
first ⅓ avg 645ms → last ⅓ avg 673ms
Headshot accuracy20.8%+1.6%
first ⅓ avg 19.2% → last ⅓ avg 20.8%

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

0.13Best match rating · 12–12 · golden, 11 Nov →
50%Best headshot accuracy · 13–3 · stronghold, 22 Mar →
484msFastest reaction time · 14–16 · inferno, 9 Nov →
13–1Biggest win · ancient, 28 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 67% over 15dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
overpassB2312–1152%0.02
infernoA1911–858%0.02
ancientS1510–567%0.00
nukeD153–1220%-0.01
mirageA138–562%-0.01
dust2D61–517%-0.04
anubis—42–250%0.01
alpine—10–10%-0.06
stronghold—11–0100%-0.06
palacio—11–0100%0.01
golden—10–10%0.13
train—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

89Matches
55%Win rate
1.34Avg K/D
99.3ADR
44%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2759%1.1515.2
Vertigo617%1.1420.8
Inferno633%0.8814.5
Nuke667%0.9716.2
Anubis450%2.5515.0
Dust2333%0.7313.0
Ancient10%1.2018.0

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.

20.2%Headshot accuracy
35.0%Accuracy (enemy spotted)
38.6%Spray accuracy
83.3%Counter-strafing
9.5°Preaim
665msReaction time
45.5%T opening success
56.6%CT opening success
0.57Enemies flashed / flash
6.4%Flash assists
14.90HE damage / grenade
4.72Flashes / match

Recommended for you

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
alpine6–13-0.0620%22 Mar →
stronghold13–3-0.0650%22 Mar →
ancient3–13-0.0120%19 Mar →
dust25–13-0.0822%19 Mar →
anubis14–16-0.0414%19 Mar →
inferno13–60.0818%19 Mar →
overpass6–130.0820%16 Mar →
nuke10–130.0134%16 Mar →
ancient13–60.0618%16 Mar →
inferno11–13-0.0316%10 Mar →
mirage13–50.0133%26 Feb →
nuke4–13-0.1033%26 Feb →
inferno4–13-0.0710%7 Feb →
inferno13–100.0223%7 Feb →
overpass5–13-0.0520%4 Feb →
inferno5–130.0123%4 Feb →
mirage13–110.0113%3 Feb →
nuke12–160.0117%3 Feb →
ancient13–50.0011%3 Feb →
mirage13–80.0222%31 Jan →
anubis11–130.0013%31 Jan →
mirage8–130.0422%29 Jan →
inferno13–50.0638%29 Jan →
anubis13–90.0415%29 Jan →
anubis13–80.058%28 Jan →
ancient13–10.0221%28 Jan →
overpass13–6-0.0113%28 Jan →
inferno13–40.0420%27 Jan →
ancient5–13-0.0528%27 Jan →
overpass10–13-0.027%27 Jan →
inferno7–130.0239%22 Dec →
nuke4–13-0.0118%22 Dec →
mirage5–1-0.058%22 Dec →
overpass13–80.0112%20 Dec →
ancient6–13-0.0116%20 Dec →
overpass13–9-0.0217%20 Dec →
nuke10–130.0019%20 Dec →
mirage13–100.0025%19 Dec →
mirage5–13-0.0715%19 Dec →
inferno12–120.0611%19 Dec →
mirage13–40.0711%19 Dec →
nuke12–120.0310%19 Dec →
overpass7–13-0.0417%18 Dec →
inferno13–60.0334%18 Dec →
overpass13–50.0517%18 Dec →
inferno13–5-0.0127%18 Dec →
ancient7–13-0.0431%18 Dec →
ancient13–9-0.0718%16 Dec →
mirage13–10-0.0517%16 Dec →
ancient13–50.0518%16 Dec →
nuke3–13-0.0113%16 Dec →
ancient13–50.0715%16 Dec →
mirage8–13-0.0316%16 Dec →
overpass13–90.0320%12 Dec →
inferno13–7-0.0113%12 Dec →
nuke5–13-0.0619%7 Dec →
nuke13–20.0348%7 Dec →
inferno10–13-0.0127%7 Dec →
overpass13–40.0015%7 Dec →
overpass10–30.0720%7 Dec →
dust24–13-0.0714%7 Dec →
nuke8–130.0227%7 Dec →
mirage10–13-0.0819%7 Dec →
inferno13–90.0023%7 Dec →
ancient13–60.049%7 Dec →
mirage9–13-0.0316%6 Dec →
nuke5–130.0221%6 Dec →
overpass7–13-0.0115%19 Nov →
overpass13–9-0.0222%19 Nov →
dust23–13-0.0729%12 Nov →
palacio13–90.0126%11 Nov →
golden12–120.1316%11 Nov →
inferno14–160.0423%9 Nov →
train7–13-0.0720%9 Nov →
nuke8–13-0.028%7 Nov →
dust23–13-0.0230%7 Nov →
overpass13–110.0512%7 Nov →
overpass5–120.0722%7 Nov →
nuke13–8-0.0520%4 Nov →
nuke13–80.0122%4 Nov →
inferno7–13-0.0318%4 Nov →
overpass8–130.0423%26 Oct →
ancient13–80.0213%25 Oct →
nuke5–130.0112%25 Oct →
mirage13–50.0523%25 Oct →
inferno13–9-0.0220%24 Oct →
overpass15–15-0.0421%24 Oct →
ancient13–30.0816%24 Oct →
ancient13–7-0.0511%23 Oct →
dust213–90.0131%23 Oct →
inferno13–110.1118%22 Oct →
overpass13–110.0128%21 Oct →
overpass13–40.0130%21 Oct →
overpass13–80.1216%19 Oct →
dust29–13-0.0311%18 Oct →
ancient3–13-0.0521%18 Oct →
overpass15–150.079%17 Oct →
overpass8–13-0.039%17 Oct →
overpass8–130.0312%14 Oct →
inferno13–80.0229%14 Oct →

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 →

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