CrawlerCarl — CS2 Stats

76561199493465567[U:1:1533199839]

833Tracked matches53%Win rate2023Tracked since
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating13,359Blue band · top ~37.1% of ranked players (population est.)
CSDB Leaderboard#24836 of 37499 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCrawlerCarlFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,359 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

HOT49474Last 10049%Win rateWWWWWWLLWW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating

Player DNA

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

Aim6.1
Aggression6.3
Utility4.7
Positioning5.0
Opening Duels3.7
Clutch2.2

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim6.1
Positioning5.0
Utility4.7
Mechanics5.2
Opening Duels3.9
Win Impact6.1

Composite 5.0/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time623ms−78ms
first ⅓ avg 701ms → last ⅓ avg 623ms
Headshot accuracy15.9%+0.4%
first ⅓ avg 15.4% → last ⅓ avg 15.9%

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

0.11Best rating — cache 13–2
132Biggest win — cache
6Longest win streak
W6Current streak
1111In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 75% over 8nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB29131645%-0.01
infernoC1661038%0.00
cacheS1510567%0.01
nukeD124833%0.02
dust2C114736%0.02
anubisA85363%-0.01
ancientS86275%0.03
train110100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches
47%Win rate
0.96Avg K/D
76.1ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23152%0.9415.2
Mirage2454%0.9413.8
Anubis1331%0.8715.4
Inferno1136%0.8312.8
Ancient956%1.0314.7
Train825%0.9416.4
Nuke757%1.2522.4
Cache540%1.1917.8

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.

15.8%Headshot accuracy
38.7%Accuracy (enemy spotted)
36.9%Spray accuracy
73.2%Counter-strafing
11.0°Preaim
625msReaction time
28.7%T opening success
60.9%CT opening success
0.63Enemies flashed / flash
8.0%Flash assists
9.18HE damage / grenade
6.01Flashes / 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 28.6921% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–110.0118%26 Aug
mirage13–60.0443%25 Aug
dust213–7-0.0313%25 Aug
anubis16–14-0.018%23 Aug
anubis13–70.0616%19 Aug
ancient13–100.0219%19 Aug
ancient5–130.0012%19 Aug
mirage11–13-0.0517%19 Aug
cache13–90.0125%19 Aug
dust213–100.0118%18 Aug
inferno6–130.0116%11 Aug
inferno13–160.0113%4 Aug
inferno13–110.0913%4 Aug
anubis13–90.0117%4 Aug
mirage6–13-0.037%4 Aug
ancient13–110.039%3 Aug
mirage5–13-0.0511%2 Aug
mirage11–13-0.0417%2 Aug
nuke2–130.0116%2 Aug
inferno13–100.0119%2 Aug
nuke10–130.0111%1 Aug
mirage13–50.0420%1 Aug
mirage13–70.0212%30 Jul
dust211–13-0.0025%29 Jul
cache11–130.0212%28 Jul
inferno7–13-0.098%28 Jul
cache3–13-0.0421%27 Jul
mirage13–110.0517%27 Jul
cache13–20.1111%27 Jul
cache9–13-0.0214%27 Jul
mirage9–13-0.0710%26 Jul
mirage13–60.0917%26 Jul
inferno15–150.0920%26 Jul
mirage11–13-0.0818%26 Jul
ancient13–60.1021%26 Jul
mirage11–130.0433%25 Jul
inferno13–7-0.0113%24 Jul
cache15–150.049%24 Jul
inferno8–130.0113%22 Jul
mirage6–13-0.0310%21 Jul
cache13–9-0.0316%21 Jul
anubis10–130.0114%20 Jul
cache13–7-0.019%20 Jul
cache8–2-0.034%19 Jul
mirage13–70.0518%19 Jul
ancient13–80.0724%19 Jul
inferno13–11-0.0614%19 Jul
mirage11–13-0.0315%19 Jul
mirage14–16-0.0514%19 Jul
mirage13–40.0219%11 Jul
dust213–110.0012%11 Jul
cache13–40.0120%11 Jul
mirage5–13-0.0910%10 Jul
mirage5–13-0.0413%9 Jul
nuke5–130.0123%9 Jul
cache13–100.0217%9 Jul
anubis9–13-0.055%8 Jul
nuke3–30.000%6 Jul
mirage13–100.0516%5 Jul
mirage8–13-0.037%5 Jul
inferno13–4-0.0032%4 Jul
nuke8–13-0.0116%4 Jul
ancient6–13-0.0133%4 Jul
mirage13–50.0613%3 Jul
cache13–40.0226%3 Jul
cache6–13-0.0614%2 Jul
mirage4–13-0.0531%30 Jun
ancient13–100.0313%30 Jun
dust211–130.1114%28 Jun
mirage13–70.0417%28 Jun
mirage13–10-0.039%28 Jun
train13–50.0016%27 Jun
inferno12–120.0014%27 Jun
nuke10–130.0628%26 Jun
inferno8–13-0.0512%23 Jun
dust213–16-0.036%21 Jun
cache13–70.0223%31 May
dust23–130.0113%31 May
inferno7–13-0.0811%24 May
ancient13–9-0.0017%23 May
mirage9–13-0.0114%23 May
inferno13–90.0215%23 May
nuke13–90.0725%22 May
nuke13–80.0622%21 May
dust213–110.0921%21 May
cache13–110.0119%21 May
mirage7–130.0420%21 May
anubis13–7-0.094%21 May
inferno5–13-0.0112%21 May
nuke4–130.0528%21 May
anubis14–16-0.0216%20 May
nuke2–13-0.048%19 May
mirage13–80.0313%19 May
dust27–130.0215%19 May
nuke13–110.0311%18 May
dust28–13-0.0017%18 May
mirage13–6-0.072%13 May
dust212–120.0119%13 May
inferno2–30.0925%13 May
nuke10–13-0.0313%12 May

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →