Beanbag13 — CS2 Stats

76561198281223843[U:1:320958115]

4,109Tracked matches62%Win rate2022Tracked since
CSDB Rating5.9 SolidAggressive Rifler
WingmanThe Global Elite
Ladder ranks via Leetify

Performance scores

Aim71
Positioning57
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY47458Last 10047%Win rateWLLLLWLWLW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression7.7
Utility5.7
Positioning5.7
Opening Duels3.1
Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 91% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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. 567ms 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
Positioning5.7
Utility5.7
Mechanics5.6
Opening Duels3.1
Win Impact9.0

Composite 5.9/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time560ms−53ms
first ⅓ avg 613ms → last ⅓ avg 560ms
Headshot accuracy21.2%−0.3%
first ⅓ avg 21.5% → last ⅓ avg 21.2%

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.

Highlights

0.17Best rating — boulder 12–12
131Biggest win — fachwerk
6Longest win streak
75In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 67% over 12nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoS128467%0.02
cacheB115645%0.00
nukeD103730%0.00
dust2D103730%0.01
vertigoC94544%0.04
anubisA85363%0.03
trainC83538%0.05
ancientD62433%0.01
fachwerkA53260%0.03
shelterA53260%0.03
mirageC52340%-0.00
boulder42250%0.06
office32167%0.04
italy21150%-0.02
overpass110100%0.09
alpine1010%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,271Matches
49%Win rate
0.98Avg K/D
75.3ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage37051%0.9914.1
Ancient20452%1.0215.0
Dust217144%0.9313.3
Inferno17049%0.9814.1
Anubis16452%1.0514.9
Nuke7536%0.9215.2
Vertigo5446%0.9915.1
Overpass2638%0.8813.3

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.

20.4%Headshot accuracy
34.8%Accuracy (enemy spotted)
37.4%Spray accuracy
75.2%Counter-strafing
9.9°Preaim
567msReaction time
40.4%T opening success
44.2%CT opening success
0.53Enemies flashed / flash
4.8%Flash assists
9.23HE damage / grenade
10.96Flashes / match

Recommended for you

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0614%28 Aug
cache11–13-0.0514%28 Aug
cache6–13-0.0033%28 Aug
vertigo11–130.1114%27 Aug
nuke9–13-0.0419%26 Aug
inferno9–30.1131%25 Aug
inferno2–9-0.0538%25 Aug
fachwerk13–20.0826%25 Aug
anubis2–13-0.0820%23 Aug
nuke12–60.0621%23 Aug
nuke6–130.0119%23 Aug
dust212–120.0530%22 Aug
italy13–9-0.086%22 Aug
train13–80.0633%22 Aug
overpass13–20.0910%22 Aug
dust213–8-0.032%21 Aug
inferno13–20.0816%20 Aug
nuke13–4-0.0244%20 Aug
nuke8–130.0317%20 Aug
shelter13–60.0830%20 Aug
anubis13–90.0825%20 Aug
anubis13–90.1521%17 Aug
cache13–40.1319%17 Aug
inferno9–70.0615%15 Aug
anubis4–130.0223%15 Aug
inferno13–5-0.0114%14 Aug
office13–4-0.0517%14 Aug
cache9–13-0.0111%13 Aug
mirage13–9-0.0226%10 Aug
office6–130.0824%10 Aug
train13–70.1315%9 Aug
cache13–70.0222%7 Aug
ancient6–13-0.0230%7 Aug
dust213–40.0314%7 Aug
anubis2–8-0.0920%6 Aug
mirage16–19-0.0121%5 Aug
inferno6–13-0.0110%5 Aug
cache12–120.0223%5 Aug
dust213–100.0117%4 Aug
ancient9–130.0918%3 Aug
vertigo13–110.0121%3 Aug
cache6–130.0014%2 Aug
shelter13–30.0314%30 Jul
inferno9–50.1020%28 Jul
vertigo8–00.0633%28 Jul
train8–130.0927%27 Jul
ancient9–130.019%26 Jul
ancient13–5-0.0012%25 Jul
fachwerk13–10.1017%24 Jul
anubis13–30.0415%24 Jul
boulder7–00.0229%24 Jul
anubis13–50.1018%23 Jul
nuke13–70.0528%23 Jul
vertigo12–120.0415%23 Jul
inferno9–70.0814%22 Jul
fachwerk7–13-0.0618%22 Jul
fachwerk13–110.0227%22 Jul
italy12–120.0417%21 Jul
cache7–13-0.0419%21 Jul
ancient4–13-0.0622%17 Jul
nuke1–13-0.0327%17 Jul
boulder12–120.1721%16 Jul
nuke2–13-0.0420%16 Jul
dust212–120.0716%16 Jul
dust22–130.0132%16 Jul
dust28–13-0.0318%13 Jul
boulder12–120.0413%13 Jul
dust25–130.0024%12 Jul
dust25–130.0115%12 Jul
inferno13–80.0415%12 Jul
anubis13–90.0225%12 Jul
ancient13–90.0113%12 Jul
nuke1–13-0.0150%12 Jul
train13–90.0433%12 Jul
inferno5–13-0.0611%11 Jul
fachwerk9–130.0234%11 Jul
shelter5–130.0327%11 Jul
train6–130.0331%11 Jul
vertigo13–110.0327%11 Jul
cache13–110.0114%11 Jul
shelter13–60.0421%11 Jul
train11–130.0314%11 Jul
vertigo3–13-0.0420%10 Jul
train0–7-0.0214%10 Jul
office13–110.0720%10 Jul
dust29–130.0117%10 Jul
boulder13–80.0330%10 Jul
vertigo11–130.1016%10 Jul
mirage13–8-0.0320%9 Jul
shelter10–13-0.0134%9 Jul
vertigo13–40.1222%7 Jul
cache9–3-0.0118%6 Jul
train12–120.0519%6 Jul
vertigo4–13-0.0619%6 Jul
inferno13–7-0.0120%6 Jul
mirage7–130.0212%5 Jul
mirage11–130.0214%5 Jul
nuke7–130.0121%5 Jul
inferno1–13-0.0426%5 Jul
alpine4–130.0212%4 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 →