Crabclaws

Crabclaws — CS2 Stats

76561197991710949[U:1:31445221]Steam profile ↗

564Tracked matches46%Win rate2020Tracked since
CSDB Rating5.6 SolidPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim75
Positioning42
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY42499Last 10042%Win rateLLWLWWLWTL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5
Aggression1.7
Utility5.4
Positioning4.2
Opening Duels0.0

Strong T-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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-fight frequency.

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 32 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 32% on T to 15% on CT — first contacts on the defending side are being lost.

Reaction time. 567ms 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

Aim7.5
Positioning4.2
Utility5.4
Mechanics8.4
Opening Duels0.3
Win Impact3.8

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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time571ms−38ms
first ⅓ avg 609ms → last ⅓ avg 571ms
Headshot accuracy17.2%−0.6%
first ⅓ avg 17.8% → last ⅓ avg 17.2%

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

0.10Best rating — cache 12–12
130Biggest win — dust2
5Longest win streak
L2Current streak
53In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 50% over 20trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB26121446%0.01
infernoB20101050%0.00
vertigoC125742%0.01
anubisB105550%-0.01
cacheC83538%0.00
trainD82625%-0.02
dust2B63350%0.03
mirage4040%-0.02
ancient2020%0.04
alpine110100%0.08
italy110100%0.09
office1010%-0.00
overpass1010%0.01

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.9%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.9%Spray accuracy
87.9%Counter-strafing
10.7°Preaim
567msReaction time
32.4%T opening success
15.1%CT opening success
0.59Enemies flashed / flash
4.0%Flash assists
7.16HE damage / grenade
10.27Flashes / 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 32.398% — below the 40% mark we flag

Spend your practice time on Train

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 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.069%27 Aug
dust27–13-0.0229%1 Aug
cache13–9-0.0413%15 Jul
anubis6–13-0.0923%29 Jun
inferno13–100.037%20 Jun
cache13–8-0.0127%20 Jun
inferno10–13-0.079%17 Jun
nuke13–70.0221%17 Jun
cache12–120.1019%6 Jun
ancient11–130.0713%6 Jun
dust28–13-0.0115%6 Jun
vertigo2–13-0.0213%6 Jun
inferno13–110.0218%6 Jun
inferno13–10-0.025%30 May
cache4–13-0.0615%30 May
nuke13–70.0613%17 May
cache10–130.0231%17 May
dust213–10.0929%6 May
anubis4–13-0.0314%6 May
cache9–130.0315%29 Apr
cache13–70.015%29 Apr
cache3–13-0.0314%29 Apr
anubis13–100.0418%23 Apr
inferno13–10.0213%23 Apr
vertigo3–130.0413%22 Apr
train2–13-0.0611%22 Apr
anubis13–8-0.0225%21 Apr
inferno12–12-0.0126%21 Apr
vertigo13–70.0323%10 Apr
nuke8–130.0422%10 Apr
nuke8–130.0022%3 Apr
vertigo12–12-0.0013%3 Apr
train13–100.0427%28 Mar
inferno12–120.0220%28 Mar
nuke9–130.0211%28 Feb
alpine13–60.089%28 Feb
nuke13–90.0416%28 Feb
inferno13–110.0824%28 Feb
inferno7–13-0.0410%8 Feb
vertigo13–80.0116%8 Feb
nuke13–40.0414%8 Feb
inferno13–6-0.019%8 Feb
anubis13–110.0115%8 Feb
nuke13–6-0.0628%23 Jan
inferno6–13-0.0410%18 Jan
anubis5–13-0.0318%18 Jan
vertigo13–100.0124%18 Jan
nuke11–130.0122%17 Jan
inferno13–50.0119%17 Jan
inferno13–100.0816%11 Jan
nuke12–12-0.0023%11 Jan
italy13–30.0918%10 Jan
vertigo6–13-0.039%10 Jan
mirage5–13-0.0221%10 Jan
inferno10–13-0.0113%10 Jan
anubis13–8-0.0212%10 Jan
nuke12–120.0011%9 Jan
inferno13–2-0.0233%9 Jan
nuke6–0-0.0233%9 Jan
vertigo13–1-0.0124%8 Jan
inferno7–130.0513%8 Jan
nuke12–120.0413%8 Jan
nuke7–13-0.0119%7 Jan
train5–130.0017%7 Jan
train4–13-0.019%4 Jan
dust213–00.0821%4 Jan
train7–13-0.0328%4 Jan
vertigo13–40.0726%4 Jan
mirage2–13-0.0425%4 Jan
nuke13–60.0626%2 Jan
anubis9–130.0220%2 Jan
inferno8–13-0.017%26 Dec
nuke13–110.0220%25 Dec
inferno4–13-0.0717%21 Dec
nuke12–120.0525%21 Dec
dust213–80.0114%20 Dec
nuke4–130.0915%20 Dec
dust23–130.0634%20 Dec
train2–13-0.0619%20 Dec
mirage0–13-0.0319%20 Dec
nuke13–9-0.062%14 Dec
ancient5–130.029%13 Dec
nuke4–13-0.0110%13 Dec
train4–13-0.0220%13 Dec
anubis1–13-0.0216%13 Dec
mirage2–130.0112%13 Dec
office2–13-0.0024%13 Dec
vertigo3–130.0322%13 Dec
nuke12–12-0.0119%13 Dec
inferno5–13-0.0031%13 Dec
vertigo8–13-0.0414%11 Dec
nuke11–13-0.0515%11 Dec
nuke13–110.0113%8 Dec
anubis13–30.0610%5 Dec
overpass5–130.0118%5 Dec
train13–10-0.0116%4 Dec
inferno13–60.0515%4 Dec
vertigo10–130.0617%4 Dec
nuke13–40.0412%4 Dec
nuke13–30.0226%3 Dec

Match data via Leetify.

Recent teammates

Milestones

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