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halfcourt cumshot — CS2 Stats

76561199405357242[U:1:1445091514]Steam profile ↗

299Tracked matches31%Win rate2022Tracked since
CSDB Rating4.5 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim64
Positioning48
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateWLWLWWLWLW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating

Player DNA

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

Aim6.4
Aggression4.6
Utility3.2
Positioning4.8
Opening Duels0.8

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 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 662ms 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

Aim6.4
Positioning4.8
Utility3.2
Mechanics6.9
Opening Duels1.2
Win Impact0.0

Composite 4.5/10 (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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time677ms−43ms
first ⅓ avg 719ms → last ⅓ avg 677ms
Headshot accuracy18.5%+1.0%
first ⅓ avg 17.4% → last ⅓ avg 18.5%

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

0.14Best rating — inferno 9–13
13–0Biggest win — mirage
6Longest win streak
4–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 75% over 8dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC177–1041%0.00
mirageC167–944%-0.02
infernoB168–850%0.04
overpassD103–730%-0.04
anubisD103–730%-0.05
dust2D82–625%-0.04
nukeA85–363%0.02
vertigoS86–275%0.01
office—32–167%-0.03
train—30–30%-0.04
thera—10–10%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

18.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.9%Spray accuracy
80.9%Counter-strafing
10.0°Preaim
662msReaction time
26.7%T opening success
39.4%CT opening success
0.52Enemies flashed / flash
5.6%Flash assists
6.47HE damage / grenade
7.20Flashes / 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 26.726% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0018%13 Jul →
mirage2–130.0317%13 Jul →
dust213–10-0.0322%13 Jul →
inferno7–130.0411%29 Jun →
dust213–100.0317%25 Jun →
nuke13–60.0120%25 Jun →
ancient11–130.027%25 Jun →
mirage13–80.0311%25 Jun →
dust27–13-0.114%22 May →
mirage13–10-0.066%17 Apr →
ancient11–13-0.0315%17 Apr →
nuke6–13-0.0218%17 Apr →
overpass8–130.0331%17 Apr →
ancient0–7-0.0520%27 Mar →
ancient3–13-0.0913%13 Mar →
office13–10-0.0025%13 Mar →
vertigo5–130.0411%27 Feb →
ancient4–13-0.0514%27 Feb →
anubis11–13-0.1010%27 Feb →
office1–13-0.0740%27 Feb →
train7–13-0.1020%27 Feb →
mirage10–13-0.0525%27 Feb →
inferno5–13-0.0020%27 Feb →
dust23–13-0.0519%27 Feb →
overpass3–13-0.0829%15 Jan →
ancient15–150.0323%7 May →
anubis16–13-0.0512%3 May →
inferno13–90.0112%3 May →
inferno9–130.1424%3 May →
mirage9–130.0431%3 May →
nuke13–7-0.0414%1 May →
nuke9–13-0.0525%1 May →
mirage4–130.0424%1 May →
inferno11–130.0519%1 May →
nuke13–10.1167%30 Apr →
train7–13-0.0123%30 Apr →
train11–13-0.0112%30 Apr →
inferno13–70.0716%30 Apr →
ancient13–20.0520%30 Apr →
ancient13–110.0917%28 Apr →
inferno2–13-0.0435%28 Apr →
ancient16–140.0118%26 Apr →
mirage15–150.0519%26 Apr →
inferno13–40.0924%26 Apr →
mirage13–00.0512%24 Apr →
ancient13–60.0515%24 Apr →
anubis10–130.0421%20 Apr →
inferno9–13-0.0322%20 Apr →
inferno13–70.047%17 Apr →
ancient9–13-0.0415%16 Apr →
dust215–15-0.099%16 Apr →
inferno13–7-0.0310%14 Mar →
inferno13–00.1415%14 Mar →
mirage5–13-0.0810%15 Nov →
anubis5–13-0.076%15 Nov →
dust212–12-0.0321%15 Nov →
ancient11–13-0.0412%9 Nov →
thera6–13-0.098%9 Nov →
dust212–12-0.0223%9 Nov →
overpass12–12-0.0111%31 May →
inferno4–13-0.069%31 May →
vertigo9–13-0.0516%31 May →
office13–11-0.0315%31 May →
mirage13–9-0.019%31 May →
nuke13–70.0914%31 May →
dust212–12-0.0223%4 May →
anubis13–90.0514%27 Apr →
ancient13–80.0713%25 Apr →
overpass13–110.0114%17 Apr →
ancient13–90.1122%12 Apr →
inferno12–160.1315%12 Apr →
overpass6–13-0.0425%4 Apr →
nuke13–7-0.0114%4 Apr →
overpass7–13-0.0430%4 Apr →
mirage13–8-0.1117%31 Mar →
vertigo11–00.0318%31 Mar →
anubis11–13-0.0812%30 Mar →
ancient10–13-0.0810%23 Mar →
anubis7–13-0.089%23 Mar →
mirage7–13-0.0329%23 Mar →
vertigo13–50.0116%20 Feb →
overpass13–7-0.0611%20 Feb →
mirage13–16-0.0520%25 Sept →
ancient9–13-0.0625%25 Sept →
vertigo13–20.0938%25 Sept →
inferno13–6-0.0120%24 Sept →
anubis11–13-0.1113%24 Sept →
overpass2–10-0.078%24 Sept →
mirage1–13-0.1215%24 Sept →
vertigo13–10-0.047%24 Sept →
overpass5–13-0.0530%24 Sept →
overpass13–9-0.0824%24 Sept →
anubis11–13-0.072%24 Sept →
nuke15–150.0413%23 Sept →
anubis13–50.0021%23 Sept →
vertigo13–20.0229%23 Sept →
inferno13–80.0514%23 Sept →
ancient13–10.016%23 Sept →
vertigo13–9-0.0113%23 Sept →
mirage13–5-0.0823%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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