Saul Goodman — CS2 Stats

76561198157797021[U:1:197531293]

2,312Tracked matches43%Win rate2020Tracked since
CSDB Rating5.6 SolidPassive Rifler
FaceitLevel 8 · 1,761 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSaul GoodmanFACEITLevel 8 · 1,761 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

COLD49447Last 10049%Win rateLWLLWLWLLL

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

Player DNA

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

Aim8.1
Aggression4.3
Utility5.5
Positioning4.6
Opening Duels1.0
Clutch3.4

Excellent counter-strafingStrong 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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms 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

Aim8.1
Positioning4.6
Utility5.5
Mechanics8.7
Opening Duels1.7
Win Impact2.6

Composite 5.6/10 (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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time635ms+9ms
first ⅓ avg 626ms → last ⅓ avg 635ms
Headshot accuracy19.1%+1.3%
first ⅓ avg 17.8% → last ⅓ avg 19.1%

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

0.15Best rating — cache 3–7
131Biggest win — dust2
6Longest win streak
55In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 71% over 17nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB46212546%0.03
dust2S1712571%0.01
mirageA148657%-0.00
infernoD62433%-0.01
nukeD51420%-0.04
ancientC52340%0.00
anubis41325%-0.02
office1010%-0.02
overpass110100%0.05
vertigo110100%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,133Matches
51%Win rate
1.02Avg K/D
77.7ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage15454%1.0515.6
Dust213055%1.0215.2
Inferno6644%0.9814.5
Ancient6250%0.9915.6
Anubis4947%0.9415.1
Nuke4045%0.8013.4
Overpass1346%1.1315.8
Train1258%0.9814.8

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.

18.6%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.0%Spray accuracy
89.0%Counter-strafing
8.9°Preaim
628msReaction time
24.2%T opening success
43.8%CT opening success
0.63Enemies flashed / flash
5.3%Flash assists
11.32HE damage / grenade
7.64Flashes / 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 24.1962% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0122%24 Aug
cache13–50.0614%23 Aug
cache6–130.0220%18 Aug
nuke8–13-0.0718%12 Aug
inferno13–7-0.0413%12 Aug
dust23–13-0.0829%12 Aug
dust213–6-0.0013%17 Jul
cache7–13-0.0316%16 Jul
cache3–70.1528%16 Jul
cache8–130.0121%11 Jul
cache13–90.1226%11 Jul
ancient9–130.0018%5 Jul
mirage13–60.0622%5 Jul
anubis6–13-0.085%27 Jun
mirage10–13-0.0518%26 Jun
mirage13–100.0214%26 Jun
mirage13–70.0219%26 Jun
cache10–130.0418%24 Jun
dust213–10.1211%20 Jun
inferno9–13-0.0517%15 Jun
inferno5–13-0.0413%15 Jun
cache10–130.0613%14 Jun
cache12–120.0812%14 Jun
office11–13-0.0216%13 Jun
inferno15–150.0423%13 Jun
dust213–20.0720%12 Jun
cache13–70.0420%12 Jun
cache9–13-0.0226%12 Jun
cache13–110.0420%5 Jun
cache13–10-0.0231%5 Jun
cache13–110.0325%4 Jun
dust213–60.1033%4 Jun
cache13–100.0316%4 Jun
cache12–120.0216%2 Jun
cache13–70.0216%1 Jun
cache13–60.1226%1 Jun
cache13–100.0517%1 Jun
cache2–13-0.0428%1 Jun
nuke7–13-0.0413%30 May
dust213–60.0215%30 May
mirage6–13-0.0617%30 May
inferno8–13-0.0216%27 May
cache13–8-0.0431%27 May
dust213–90.0218%25 May
cache13–7-0.0117%23 May
ancient16–13-0.0118%23 May
mirage8–13-0.0211%23 May
nuke2–13-0.0715%18 May
cache12–120.0224%18 May
cache13–40.0915%17 May
cache3–13-0.0326%16 May
ancient9–130.0311%15 May
mirage13–9-0.0116%15 May
mirage13–6-0.0314%12 May
cache2–11-0.0422%9 May
cache4–130.0232%9 May
mirage5–13-0.0115%8 May
dust26–13-0.0524%8 May
anubis13–160.0315%8 May
nuke13–50.0321%8 May
cache11–130.0430%8 May
cache13–70.0618%8 May
cache3–13-0.0421%8 May
cache13–1-0.0031%8 May
cache12–120.0222%7 May
cache3–13-0.0627%7 May
cache13–20.1232%7 May
cache11–130.027%6 May
overpass13–70.0520%6 May
cache12–12-0.0222%3 May
cache13–50.0213%3 May
cache11–130.0721%3 May
cache9–130.0825%2 May
cache7–13-0.0026%2 May
mirage11–13-0.0217%1 May
dust29–13-0.0619%1 May
cache13–10-0.0017%1 May
cache12–12-0.0511%29 Apr
cache13–110.0815%29 Apr
cache13–20.1314%29 Apr
cache9–13-0.0117%29 Apr
cache13–8-0.0318%29 Apr
dust213–60.0632%28 Apr
dust213–11-0.0621%28 Apr
vertigo13–110.0819%27 Apr
mirage13–90.0214%27 Apr
dust25–00.0617%27 Apr
ancient10–13-0.0424%27 Apr
dust213–9-0.0616%27 Apr
dust29–130.0219%26 Apr
dust216–120.0620%26 Apr
inferno13–60.0519%26 Apr
mirage13–80.0318%26 Apr
ancient13–80.0221%26 Apr
mirage0–13-0.0918%25 Apr
anubis5–13-0.0715%25 Apr
nuke3–13-0.063%25 Apr
anubis13–50.0514%24 Apr
dust213–9-0.0111%24 Apr
mirage13–80.1023%23 Apr

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 →