Happy Pants — CS2 Stats

76561198146542907[U:1:186277179]✓ No bans

466Tracked matches40%Win rate2024Tracked since
CSDB Rating3.2 Learning
Premier CS Rating12,694Blue band · top ~40.6% of ranked players (population est.)
CSDB Leaderboard#24553 of 36222 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GGHappy PantsPREMIER12,694 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim35
Positioning29
Utility31

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateLLLWWLLWLL

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

Player DNA

Aim3.5
Aggression0.0
Utility3.1
Positioning2.9
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 62% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 670ms 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

Aim3.5
Positioning2.9
Utility3.1
Mechanics7.1
Opening Duels0.0
Win Impact1.7

Composite 3.2/10 (Learning), 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 rating-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time682ms+17ms
first ⅓ avg 666ms → last ⅓ avg 682ms
Headshot accuracy8.2%+0.0%
first ⅓ avg 8.2% → last ⅓ avg 8.2%

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

0.22Best rating — cache 13–1
131Biggest win — cache
4Longest win streak
L3Current streak
83In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 67% over 9ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2011955%-0.04
infernoD1551033%-0.05
vertigoB147750%-0.05
ancientD113827%-0.06
mirageC114736%-0.03
nukeS96367%-0.06
cacheA95456%0.00
anubisA53260%-0.00
train31233%-0.08
office32167%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient 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.

7.4%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.7%Spray accuracy
82.1%Counter-strafing
12.8°Preaim
670msReaction time
17.8%T opening success
20.3%CT opening success
0.28Enemies flashed / flash
8.0%Flash assists
9.34HE damage / grenade
1.05Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8275° — above the 12° mark we flag

    Aim Training
  2. 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 7.3641% — below the 15% 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 0.2823 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
train10–13-0.0810%15 Aug
train4–13-0.144%15 Aug
inferno10–130.035%11 Aug
inferno13–5-0.029%11 Aug
dust213–50.0611%11 Aug
ancient7–13-0.022%8 Aug
dust26–13-0.084%8 Aug
ancient13–10-0.069%8 Aug
vertigo11–13-0.054%5 Aug
vertigo0–13-0.0613%5 Aug
ancient5–13-0.0711%5 Aug
nuke8–13-0.0910%4 Aug
dust213–90.0010%4 Aug
mirage6–130.015%4 Aug
ancient10–13-0.079%4 Aug
dust213–11-0.1112%3 Aug
anubis8–13-0.057%3 Aug
inferno13–8-0.105%2 Aug
mirage11–13-0.019%2 Aug
ancient13–9-0.054%2 Aug
mirage4–13-0.0312%30 Jul
nuke16–13-0.095%30 Jul
cache3–13-0.076%30 Jul
cache3–130.036%30 Jul
cache13–70.074%30 Jul
dust20–4-0.170%30 Jul
cache13–10.223%30 Jul
vertigo13–80.084%30 Jul
inferno10–130.0514%30 Jul
vertigo13–9-0.077%29 Jul
vertigo4–13-0.056%29 Jul
anubis2–00.1840%28 Jul
dust216–14-0.0610%28 Jul
mirage13–8-0.012%28 Jul
ancient5–13-0.117%28 Jul
dust25–13-0.015%28 Jul
ancient13–8-0.022%28 Jul
dust213–110.0612%28 Jul
dust22–13-0.0313%28 Jul
mirage13–110.018%28 Jul
cache5–13-0.093%27 Jul
anubis8–13-0.077%27 Jul
nuke13–10-0.0512%27 Jul
dust213–4-0.046%27 Jul
nuke13–10-0.047%26 Jul
vertigo13–5-0.066%26 Jul
mirage12–12-0.0713%26 Jul
anubis13–3-0.023%26 Jul
dust212–12-0.0712%24 Jul
vertigo10–13-0.0212%23 Jul
nuke13–10-0.072%23 Jul
dust28–13-0.0324%23 Jul
inferno9–13-0.0411%20 Jul
dust27–13-0.035%20 Jul
anubis13–9-0.055%20 Jul
vertigo3–13-0.145%20 Jul
vertigo13–1-0.1012%19 Jul
inferno13–60.029%19 Jul
ancient11–13-0.035%19 Jul
nuke4–13-0.088%19 Jul
inferno7–13-0.0914%19 Jul
dust213–110.0212%19 Jul
mirage13–5-0.049%18 Jul
train13–7-0.024%18 Jul
inferno10–13-0.075%17 Jul
ancient4–13-0.056%17 Jul
dust213–3-0.065%17 Jul
mirage9–13-0.064%15 Jul
dust212–12-0.089%15 Jul
vertigo12–12-0.0511%14 Jul
nuke7–13-0.136%14 Jul
inferno13–9-0.0327%13 Jul
mirage6–13-0.080%13 Jul
vertigo13–6-0.016%20 May
dust213–8-0.0216%20 May
mirage13–9-0.018%18 May
dust213–6-0.0213%18 May
office7–13-0.095%13 May
office13–20.1025%13 May
inferno7–13-0.0710%13 May
vertigo13–10-0.028%4 May
cache13–7-0.040%4 May
dust24–13-0.099%4 May
mirage5–13-0.058%4 May
cache13–30.010%29 Apr
cache13–11-0.087%29 Apr
cache9–13-0.059%29 Apr
inferno13–6-0.023%28 Apr
nuke13–1-0.008%28 Apr
inferno3–13-0.118%27 Apr
dust213–7-0.0610%27 Apr
office13–11-0.005%27 Apr
inferno10–13-0.092%27 Apr
vertigo13–8-0.045%27 Apr
nuke13–50.0316%21 Apr
inferno12–12-0.063%21 Apr
ancient7–13-0.146%21 Apr
inferno6–13-0.085%13 Apr
vertigo3–13-0.086%13 Apr
ancient4–13-0.0513%13 Apr

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 →