dick smith

dick smith — CS2 Stats

MX76561197986456811[U:1:26191083]Steam profile ↗

2,608Tracked matches77%Win rate2020Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating20,966Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#10283 of 28877 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGdick smithFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER20,966 · Pink bandcsdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY6040Last 10060%Win rateWLWLWWWWLW

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

Player DNA

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

Aim6.2
Aggression5.2
Utility6.0
Positioning5.2
Opening Duels2.2
Clutch3.2

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 90% playstyle similarity

Most alike: utility contribution, 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. 551ms 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

Aim6.2
Positioning5.2
Utility6.0
Mechanics4.8
Opening Duels2.2
Win Impact10.0

Composite 5.9/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time565ms−7ms
first ⅓ avg 572ms → last ⅓ avg 565ms
Headshot accuracy16.5%+0.2%
first ⅓ avg 16.4% → last ⅓ avg 16.5%

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.

Highlights

0.16Best rating — dust2 13–3
131Biggest win — nuke
7Longest win streak
76In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 74% over 19infernoWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA2214864%0.03
cacheS1914574%-0.00
ancientB147750%0.00
infernoB136746%-0.01
anubisS139469%0.01
dust2B105550%0.02
mirageB84450%0.01
vertigo110100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,186Matches
52%Win rate
1.19Avg K/D
88.1ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4262%1.3419.0
Nuke3563%1.3617.4
Anubis3471%1.4420.2
Inferno2250%1.1815.6
Dust22157%1.3217.5
Mirage1650%1.0614.6
Train1070%1.5518.2
Vertigo956%1.1316.0

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.

16.8%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.6%Spray accuracy
71.7%Counter-strafing
11.3°Preaim
551msReaction time
38.8%T opening success
38.9%CT opening success
0.53Enemies flashed / flash
8.3%Flash assists
6.69HE damage / grenade
12.23Flashes / 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. 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 38.8054% — 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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–130.0316%27 Aug
inferno6–130.0316%27 Aug
nuke13–11-0.0223%24 Aug
anubis5–13-0.0421%24 Aug
mirage13–20.0916%24 Aug
dust213–70.0419%24 Aug
cache13–50.0513%23 Aug
nuke13–50.0723%23 Aug
dust25–13-0.0420%21 Aug
nuke13–10.0619%21 Aug
cache13–90.0413%21 Aug
ancient2–10-0.0320%21 Aug
nuke13–60.0117%20 Aug
cache1–13-0.0711%20 Aug
cache13–9-0.0219%20 Aug
cache13–60.036%19 Aug
ancient13–7-0.1018%19 Aug
dust213–30.1611%19 Aug
anubis13–60.0515%19 Aug
nuke13–4-0.0213%16 Aug
nuke13–8-0.0330%16 Aug
inferno10–13-0.0418%16 Aug
ancient13–80.1322%16 Aug
nuke13–30.0534%16 Aug
cache13–30.1422%16 Aug
dust213–110.004%16 Aug
vertigo13–6-0.0212%16 Aug
ancient13–60.046%16 Aug
cache13–70.0012%16 Aug
nuke10–13-0.0517%16 Aug
inferno3–13-0.1015%16 Aug
anubis6–2-0.0411%16 Aug
ancient13–8-0.0013%11 Aug
nuke13–90.096%10 Aug
mirage0–13-0.0810%10 Aug
ancient4–13-0.0713%10 Aug
ancient8–130.0419%10 Aug
anubis13–8-0.0115%10 Aug
inferno8–13-0.0513%9 Aug
dust26–13-0.0130%9 Aug
ancient16–14-0.0214%9 Aug
anubis11–130.0326%9 Aug
nuke13–6-0.0413%9 Aug
cache13–9-0.0019%9 Aug
cache13–8-0.0116%9 Aug
cache4–13-0.0718%8 Aug
ancient6–13-0.033%8 Aug
mirage6–13-0.0518%7 Aug
anubis10–13-0.0619%7 Aug
inferno16–14-0.046%7 Aug
nuke10–130.0216%7 Aug
dust211–130.0213%7 Aug
inferno13–90.0424%7 Aug
nuke13–3-0.0219%7 Aug
cache13–6-0.0222%7 Aug
mirage6–130.0310%7 Aug
nuke10–13-0.0126%7 Aug
inferno13–30.0620%7 Aug
cache10–130.0014%7 Aug
cache0–3-0.120%5 Aug
anubis13–90.0313%5 Aug
dust213–40.0618%5 Aug
cache11–13-0.0624%5 Aug
mirage9–13-0.0119%5 Aug
inferno7–13-0.0224%5 Aug
inferno9–13-0.0122%4 Aug
nuke13–40.0731%4 Aug
ancient13–4-0.0519%4 Aug
anubis13–10-0.0315%4 Aug
nuke9–130.0128%4 Aug
anubis13–7-0.0515%3 Aug
cache13–80.0215%3 Aug
inferno16–140.076%3 Aug
ancient11–130.0417%3 Aug
inferno13–7-0.0510%2 Aug
anubis13–50.1210%2 Aug
nuke11–130.0226%2 Aug
dust26–13-0.0029%2 Aug
cache13–11-0.0115%2 Aug
ancient9–13-0.0114%29 Jul
nuke13–80.1116%29 Jul
inferno13–4-0.0233%28 Jul
cache13–8-0.0419%28 Jul
mirage13–100.0215%28 Jul
dust213–9-0.046%28 Jul
anubis5–13-0.016%28 Jul
anubis16–140.0910%28 Jul
nuke6–130.0110%28 Jul
nuke13–16-0.0116%27 Jul
cache13–90.0313%27 Jul
anubis13–80.027%27 Jul
dust27–13-0.0238%27 Jul
nuke13–60.1218%26 Jul
ancient8–13-0.0624%26 Jul
ancient13–20.1414%26 Jul
nuke8–130.1021%26 Jul
nuke13–90.0713%26 Jul
cache13–50.0118%26 Jul
mirage13–70.0611%23 Jul
inferno11–13-0.0217%23 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
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