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Benjamin — CS2 Stats

76561198118394673[U:1:158128945]

1,125Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating18,981Purple band · top ~12.6% of ranked players (population est.)
CSDB Leaderboard#9256 of 18715 tracked
FaceitLevel 5 · 1,226 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGBenjaminFACEITLevel 5 · 1,226 ELOSTANDINGTop 67.6% of rankedPREMIER18,981 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateWLWWLWLTWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.2
Aggression4.7
Utility4.5
Positioning4.4
Opening Duels1.2
Clutch2.2

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, 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. 565ms 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

Aim7.2
Positioning4.4
Utility4.5
Mechanics6.4
Opening Duels1.5
Win Impact5.0

Composite 5.3/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time585ms−57ms
first ⅓ avg 642ms → last ⅓ avg 585ms
Headshot accuracy21.9%−0.3%
first ⅓ avg 22.2% → last ⅓ avg 21.9%

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

0.25Best rating — debris 9–4
13–1Biggest win — cache
7Longest win streak
4–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

debrisBest map · 80% over 5infernoWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
cacheS2014–670%-0.01
mirageC166–1038%-0.04
ancientB115–645%-0.03
infernoD91–811%-0.05
poseidonA74–357%0.00
nukeD72–529%-0.04
dust2A74–357%-0.05
anubisD62–433%-0.03
debrisS54–180%0.05
trainA53–260%-0.01
vertigo—33–0100%-0.04
eldorado—20–20%-0.11
office—11–0100%-0.03
fachwerk—11–0100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

177Matches
53%Win rate
0.95Avg K/D
73.8ADR
50%Headshot %

Clutches & streaks

31%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3253%0.8613.3
Ancient2352%0.9915.0
Inferno1656%0.9313.3
Nuke1354%0.9112.0
Dust21258%1.1911.8
Anubis1050%0.9411.4
Cache580%1.8414.4
Vertigo250%0.529.0

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.

22.5%Headshot accuracy
30.9%Accuracy (enemy spotted)
31.3%Spray accuracy
78.7%Counter-strafing
8.1°Preaim
565msReaction time
27.2%T opening success
42.2%CT opening success
0.47Enemies flashed / flash
7.5%Flash assists
4.78HE damage / grenade
6.23Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4726 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.2257% — below the 40% mark we flag

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
poseidon9–30.0323%28 Aug →
ancient7–13-0.0230%28 Aug →
cache13–4-0.0125%27 Aug →
cache13–9-0.0330%27 Aug →
ancient4–13-0.0515%25 Aug →
ancient13–20.0326%25 Aug →
poseidon4–9-0.1821%25 Aug →
eldorado8–80.0516%24 Aug →
debris9–70.0129%24 Aug →
inferno2–13-0.0614%24 Aug →
cache13–90.0817%24 Aug →
poseidon9–20.1210%22 Aug →
cache13–7-0.0019%22 Aug →
mirage0–13-0.0723%22 Aug →
poseidon2–9-0.1817%22 Aug →
nuke7–13-0.0725%22 Aug →
mirage7–13-0.0712%22 Aug →
cache13–11-0.0127%22 Aug →
nuke2–13-0.076%22 Aug →
ancient13–60.0224%21 Aug →
cache12–120.0132%21 Aug →
dust213–8-0.0415%21 Aug →
ancient13–6-0.0225%21 Aug →
inferno2–13-0.0815%21 Aug →
ancient13–10-0.0622%20 Aug →
cache2–13-0.0822%20 Aug →
poseidon9–70.1545%19 Aug →
cache13–80.0133%19 Aug →
debris9–6-0.0525%18 Aug →
mirage12–12-0.0315%18 Aug →
mirage9–13-0.1016%17 Aug →
nuke13–6-0.0615%17 Aug →
mirage10–13-0.1032%16 Aug →
ancient10–13-0.0231%16 Aug →
eldorado1–9-0.270%16 Aug →
poseidon9–30.0325%16 Aug →
office13–10-0.0328%16 Aug →
cache13–4-0.0220%16 Aug →
inferno9–13-0.0518%16 Aug →
train6–13-0.0228%16 Aug →
nuke8–13-0.0222%15 Aug →
cache13–9-0.0717%15 Aug →
mirage7–13-0.1011%15 Aug →
train13–10-0.0018%15 Aug →
train13–20.0935%15 Aug →
train9–13-0.0933%15 Aug →
fachwerk12–1-0.0619%14 Aug →
cache11–13-0.0225%14 Aug →
dust25–130.0125%14 Aug →
cache13–100.0114%10 Aug →
dust213–2-0.0615%10 Aug →
nuke13–10-0.0244%8 Aug →
dust27–13-0.1013%8 Aug →
cache7–13-0.096%8 Aug →
cache13–10.0418%8 Aug →
train13–3-0.0524%8 Aug →
vertigo13–5-0.0426%8 Aug →
dust22–13-0.1036%8 Aug →
debris9–40.2520%8 Aug →
ancient8–13-0.1016%7 Aug →
mirage0–7-0.1125%7 Aug →
nuke9–130.0233%6 Aug →
mirage13–10-0.0230%6 Aug →
cache11–130.0420%6 Aug →
cache10–13-0.0022%5 Aug →
inferno12–12-0.0317%1 Aug →
anubis4–13-0.0525%1 Aug →
dust213–8-0.0429%1 Aug →
nuke15–15-0.0329%1 Aug →
mirage13–8-0.0014%1 Aug →
ancient4–13-0.0524%31 Jul →
mirage3–130.0017%31 Jul →
mirage13–8-0.0620%31 Jul →
anubis6–13-0.0510%31 Jul →
mirage13–9-0.0520%31 Jul →
vertigo13–6-0.0615%31 Jul →
poseidon8–80.0332%31 Jul →
debris9–40.0917%31 Jul →
vertigo13–10-0.0126%30 Jul →
inferno13–16-0.0414%30 Jul →
inferno15–15-0.0519%30 Jul →
mirage13–20.0927%30 Jul →
anubis10–13-0.0718%29 Jul →
inferno11–13-0.0236%29 Jul →
cache13–5-0.0248%29 Jul →
inferno6–13-0.0522%28 Jul →
cache13–9-0.0834%28 Jul →
anubis13–90.0521%28 Jul →
ancient11–13-0.0118%28 Jul →
mirage3–13-0.0623%28 Jul →
anubis8–13-0.0422%28 Jul →
mirage2–13-0.0832%28 Jul →
debris8–8-0.0521%27 Jul →
ancient13–80.0114%27 Jul →
cache13–60.0126%27 Jul →
mirage13–50.0518%27 Jul →
cache13–7-0.0232%26 Jul →
anubis13–7-0.0510%26 Jul →
dust213–110.0014%26 Jul →
inferno13–6-0.0810%26 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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