HotdogAlicia — CS2 Stats

76561198107073741[U:1:146808013]✓ No bans

83Tracked matches17%Win rate2023Tracked since
289Hours in CS
CSDB Rating1.3 Learning
Ladder ranks via Leetify

Performance scores

Aim10
Positioning25
Utility19

0–100 skill scores via Leetify.

Recent form

COLD26525Last 8331%Win rateLLWWWLLLLL

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

Player DNA

Aim1.0
Aggression2.2
Utility1.9
Positioning2.5
Opening Duels0.0

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 55% playstyle similarity

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

Where you differ: lower utility contribution; 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. 756ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.0
Positioning2.5
Utility1.9
Mechanics1.5
Opening Duels0.0
Win Impact0.0

Composite 1.3/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time766ms+27ms
first ⅓ avg 740ms → last ⅓ avg 766ms
Headshot accuracy10.6%−1.9%
first ⅓ avg 12.5% → last ⅓ avg 10.6%

Rolling 5-match average across the last 83 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — inferno 6–1
162Biggest win — inferno
3Longest win streak
L2Current streak
24In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 46% over 13nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD3072323%-0.05
infernoC28101836%-0.03
dust2B136746%-0.00
anubisD72529%-0.00
nukeD51420%-0.03

Across the last 83 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.

Lifetime stats

12,511Lifetime kills
0.82K/D
859Matches
39.3%Match win rate
29.8%Headshot %
17.8%Shot accuracy · Top 25% of tracked players
1,130MVPs
289Hours (in match)
780Bombs planted
149Bombs defused

Most-used weapons

Lifetime map wins

4,705dust2
591inferno
153nuke
109office
99bank
82lake
40cbble
35safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1Matches
0%Win rate
0.52Avg K/D
ADR
60%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

10.7%Headshot accuracy
28.5%Accuracy (enemy spotted)
23.4%Spray accuracy
56.8%Counter-strafing
11.5°Preaim
756msReaction time
23.9%T opening success
22.4%CT opening success
0.42Enemies flashed / flash
2.3%Flash assists
1.64HE damage / grenade
2.95Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.7116% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 755.7505ms — above the 700ms mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4246 — below the 0.5 mark we flag

    Grenade Lineups
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
mirage6–13-0.0614%21 Aug
mirage10–13-0.0516%9 Aug
dust213–100.0414%9 Aug
dust213–50.0817%9 Aug
nuke13–70.075%7 Aug
inferno10–13-0.020%4 Aug
dust25–13-0.0014%1 Aug
mirage11–13-0.0410%31 Jul
anubis6–13-0.038%30 Jul
nuke1–13-0.0511%29 Jul
inferno9–13-0.0315%28 Jul
mirage4–13-0.0719%28 Jul
anubis13–80.0213%28 Jul
mirage1–13-0.120%28 Jul
nuke7–13-0.0411%27 Jul
anubis13–20.074%27 Jul
anubis2–13-0.0413%27 Jul
mirage5–13-0.057%27 Jul
mirage1–13-0.1114%27 Jul
anubis9–130.059%27 Jul
inferno2–13-0.0511%27 Jul
mirage8–13-0.0912%27 Jul
nuke7–13-0.053%27 Jul
dust26–13-0.0419%27 Jul
inferno5–130.0010%26 Jul
nuke0–13-0.067%26 Jul
inferno1–13-0.0411%26 Jul
mirage10–13-0.0413%26 Jul
anubis0–13-0.0813%26 Jul
inferno5–13-0.088%26 Jul
anubis4–110.006%26 Jul
inferno8–13-0.0615%25 Jul
inferno11–2-0.039%25 Jul
mirage5–13-0.0617%25 Jul
mirage6–13-0.0917%25 Jul
mirage12–12-0.0515%25 Jul
dust212–12-0.0310%24 Jul
mirage13–4-0.018%24 Jul
dust25–13-0.0613%14 Jan
inferno3–13-0.074%14 Jan
inferno3–13-0.0813%14 Jan
mirage1–10-0.0423%14 Jan
dust213–10.0617%14 Jan
mirage1–9-0.077%29 Mar
mirage16–12-0.1013%29 Mar
inferno7–9-0.100%29 Mar
inferno2–9-0.066%29 Mar
inferno9–50.0014%29 Mar
inferno5–160.0313%29 Mar
inferno5–9-0.0617%29 Mar
inferno16–20.0313%29 Mar
inferno7–90.0016%29 Mar
mirage9–10.0633%28 Mar
mirage8–8-0.045%28 Feb
inferno3–9-0.1220%27 Feb
mirage10–16-0.086%24 Feb
mirage3–9-0.019%24 Feb
inferno9–60.0117%24 Feb
mirage14–16-0.0410%23 Feb
inferno16–12-0.0010%23 Feb
mirage6–9-0.0517%23 Feb
mirage9–3-0.0323%23 Feb
mirage9–40.0117%22 Feb
mirage12–16-0.029%18 Jan
inferno2–9-0.117%18 Jan
mirage9–2-0.0021%18 Jan
inferno9–6-0.066%18 Jan
mirage7–16-0.055%18 Jan
inferno3–9-0.027%18 Jan
dust29–6-0.0812%18 Jan
inferno8–8-0.0411%15 Jan
mirage1–9-0.1021%15 Jan
inferno16–10-0.0214%15 Jan
dust212–16-0.0620%15 Jan
dust216–80.0716%15 Jan
dust29–40.0213%14 Jan
inferno15–4-0.036%14 Jan
dust29–16-0.0811%14 Jan
dust27–160.029%14 Jan
mirage8–8-0.0311%14 Jan
inferno6–10.1021%14 Jan
inferno9–7-0.016%14 Jan
mirage9–7-0.088%11 Jan

Match data via Leetify.

Recent teammates

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