The Bench Warmer

The Bench Warmer — CS2 Stats

76561198157443443[U:1:197177715]Steam profile ↗✓ No bans

976Tracked matches45%Win rate2021Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating16,700Purple band · top ~21.6% of ranked players (population est.)
CSDB Leaderboard#10918 of 18523 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGThe Bench WarmerFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,700 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning50
Utility60

0–100 skill scores via Leetify.

Recent form

COLD45496Last 10045%Win rateWLWLLWLLLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression7.6
Utility6.0
Positioning5.0
Opening Duels4.0
Clutch0.8

Strong CT-side opener

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 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 56% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim6.8
Positioning5.0
Utility6.0
Mechanics6.4
Opening Duels4.0
Win Impact3.3

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time618ms−38ms
first ⅓ avg 656ms → last ⅓ avg 618ms
Headshot accuracy21.6%−0.5%
first ⅓ avg 22.1% → last ⅓ avg 21.6%

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.

Highlights

0.16Best rating — train 13–7
132Biggest win — dust2
5Longest win streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 57% over 14officeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheB1910953%0.01
nukeA148657%0.01
mirageB136746%0.02
dust2D123925%0.01
anubisB126650%-0.02
trainB84450%0.05
infernoC73443%0.04
officeD71614%0.06
vertigo41325%0.03
overpass220100%0.05
ancient21150%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

33Matches
55%Win rate
0.99Avg K/D
90.1ADR
53%Headshot %

Clutches & streaks

24%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage850%0.7713.4
Dust2786%1.3019.9
Nuke450%0.9616.0
Cache425%0.8615.8
Ancient30%0.8314.0
Anubis367%0.9314.7
Inferno2100%1.2624.5
Overpass250%1.2224.5

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.

21.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.1%Spray accuracy
78.6%Counter-strafing
9.5°Preaim
611msReaction time
36.4%T opening success
55.8%CT opening success
0.69Enemies flashed / flash
4.6%Flash assists
8.18HE damage / grenade
14.02Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.3845% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–70.0931%26 Aug
dust25–130.0314%26 Aug
train13–50.0321%25 Aug
dust24–130.0020%22 Aug
anubis8–13-0.0528%22 Aug
dust213–20.0015%20 Aug
nuke8–13-0.0721%20 Aug
mirage8–13-0.0022%20 Aug
dust27–130.0124%20 Aug
mirage10–130.0213%20 Aug
inferno2–13-0.0320%19 Aug
cache13–8-0.0321%19 Aug
anubis13–60.0420%19 Aug
mirage4–130.0014%19 Aug
nuke13–90.0917%19 Aug
train5–130.0128%19 Aug
cache13–60.0025%19 Aug
inferno5–13-0.0226%19 Aug
inferno13–40.1122%18 Aug
office4–130.0717%17 Aug
overpass6–10.1144%17 Aug
office6–130.0124%17 Aug
dust21–13-0.0531%17 Aug
cache10–130.0721%17 Aug
anubis13–100.0616%17 Aug
train12–120.0323%17 Aug
dust213–11-0.0517%17 Aug
overpass13–11-0.0218%16 Aug
train13–20.1026%16 Aug
train4–13-0.0324%16 Aug
nuke13–40.0415%15 Aug
nuke12–16-0.0022%15 Aug
mirage12–16-0.0413%15 Aug
nuke13–30.0619%14 Aug
nuke13–4-0.0114%14 Aug
nuke13–110.0612%14 Aug
cache3–13-0.0023%14 Aug
anubis13–9-0.0712%14 Aug
mirage6–130.0818%12 Aug
mirage13–100.0521%12 Aug
dust25–130.0518%12 Aug
train13–30.0816%12 Aug
dust25–13-0.0324%11 Aug
nuke2–13-0.0329%3 Aug
mirage13–90.0729%2 Aug
dust213–70.0420%2 Aug
vertigo7–20.0918%2 Aug
train13–70.1619%1 Aug
office13–60.1321%1 Aug
vertigo5–13-0.0029%1 Aug
inferno10–130.0625%1 Aug
nuke13–30.0311%1 Aug
dust211–130.0319%1 Aug
train4–130.0520%31 Jul
ancient13–100.0117%31 Jul
cache13–11-0.0226%30 Jul
dust27–130.0327%30 Jul
nuke13–60.0820%30 Jul
anubis13–110.0220%29 Jul
anubis10–13-0.0431%29 Jul
nuke3–13-0.0922%29 Jul
mirage13–20.0625%25 Jul
office7–130.1228%25 Jul
anubis16–13-0.0625%23 Jul
cache11–13-0.0125%23 Jul
inferno13–60.1231%23 Jul
office5–130.0325%22 Jul
office10–130.0626%22 Jul
anubis0–4-0.0825%22 Jul
cache13–110.0727%20 Jul
mirage13–30.0617%10 Jul
nuke15–150.0513%9 Jul
office12–12-0.0229%8 Jul
anubis5–50.0233%3 Jul
cache13–90.0315%1 Jul
cache13–7-0.0212%1 Jul
anubis7–13-0.0718%28 Jun
vertigo9–130.0015%26 Jun
nuke16–130.0624%26 Jun
inferno16–130.0426%23 Jun
nuke5–13-0.0915%23 Jun
ancient9–13-0.0714%22 Jun
vertigo12–120.0217%22 Jun
cache13–60.0120%21 Jun
mirage13–9-0.1024%20 Jun
mirage11–130.0319%20 Jun
mirage9–13-0.0721%19 Jun
inferno9–130.0230%17 Jun
dust29–130.0341%17 Jun
anubis10–13-0.0424%16 Jun
mirage13–110.0722%14 Jun
cache2–13-0.0215%6 Jun
cache12–12-0.0324%5 Jun
anubis11–13-0.0320%5 Jun
cache1–13-0.0031%5 Jun
cache13–70.0420%5 Jun
cache11–130.0418%3 Jun
cache12–12-0.0321%3 Jun
cache4–13-0.0123%3 Jun
cache13–20.0432%3 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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