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Jarlapeño — CS2 Stats

76561197962993142[U:1:2727414]✓ No bans

408Tracked matches43%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating20,529Pink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#9726 of 24990 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGJarlapeñoFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER20,529 · Pink bandcsdb.gg/stats

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Performance scores

Aim36
Positioning37
Utility54

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateWWLLLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.6
Aggression2.3
Utility5.4
Positioning3.7
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 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 37% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 691ms 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

Aim3.6
Positioning3.7
Utility5.4
Mechanics5.2
Opening Duels0.9
Win Impact2.8

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time702ms−7ms
first ⅓ avg 708ms → last ⅓ avg 702ms
Headshot accuracy11.2%−3.5%
first ⅓ avg 14.8% → last ⅓ avg 11.2%

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

0.19Best rating — cache 13–6
13–3Biggest win — dust2
6Longest win streak
W2Current streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 56% over 9nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%-0.01
infernoC198–1142%-0.04
nukeD113–827%-0.01
ancientB115–645%-0.01
overpassA116–555%-0.02
mirageA95–456%0.01
cacheC73–443%-0.01
anubisB63–350%-0.02
train—43–175%-0.00
rooftop—22–0100%-0.03
vertigo—10–10%0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

77Matches
51%Win rate
0.89Avg K/D
—ADR
29%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

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.

11.0%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.0%Spray accuracy
73.6%Counter-strafing
12.1°Preaim
691msReaction time
14.6%T opening success
37.4%CT opening success
0.46Enemies flashed / flash
6.3%Flash assists
10.55HE damage / grenade
7.67Flashes / 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 12.0538° — 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 11.0061% — 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 0.4591 — 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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0112%27 Aug →
cache13–10-0.033%27 Aug →
dust29–13-0.007%27 Aug →
dust27–13-0.0419%14 Aug →
cache9–13-0.118%13 Aug →
ancient10–13-0.053%13 Aug →
dust27–13-0.0220%6 Aug →
inferno1–13-0.0415%6 Aug →
cache8–13-0.063%6 Aug →
inferno9–7-0.058%6 Aug →
inferno13–11-0.0410%3 Aug →
cache6–13-0.0615%3 Aug →
dust213–30.1116%2 Aug →
ancient6–130.0012%2 Aug →
anubis13–9-0.045%2 Aug →
nuke8–13-0.066%30 Jul →
anubis3–13-0.0514%30 Jul →
inferno13–5-0.0113%30 Jul →
nuke11–13-0.054%27 Jul →
ancient13–60.0110%27 Jul →
dust210–13-0.0410%27 Jul →
dust213–8-0.0221%27 Jul →
anubis13–10-0.048%21 Jul →
ancient13–10-0.0316%21 Jul →
mirage13–70.038%19 Jul →
dust213–70.0811%19 Jul →
mirage13–80.0415%19 Jul →
nuke10–130.0113%1 Jul →
overpass10–13-0.039%28 Jun →
dust211–13-0.0417%28 Jun →
inferno10–13-0.0815%28 Jun →
dust213–16-0.0413%17 Jun →
inferno11–13-0.0714%21 May →
dust213–5-0.0412%20 May →
inferno10–13-0.057%15 May →
cache13–80.0114%15 May →
anubis0–9-0.070%15 May →
nuke7–13-0.0910%15 May →
cache13–60.1929%12 May →
overpass10–13-0.0816%12 May →
dust213–60.0014%12 May →
cache6–13-0.0121%11 May →
inferno16–14-0.0115%27 Apr →
inferno6–13-0.0616%19 Apr →
mirage13–11-0.067%5 Apr →
anubis13–100.0617%5 Apr →
dust216–12-0.0014%5 Apr →
inferno15–15-0.026%3 Apr →
anubis9–130.0415%3 Apr →
inferno8–2-0.0311%3 Apr →
ancient3–130.0423%27 Oct →
overpass13–10-0.058%27 Oct →
overpass11–13-0.0711%26 Oct →
dust29–13-0.039%26 Oct →
mirage2–00.100%26 Oct →
overpass8–13-0.034%21 Oct →
rooftop9–5-0.0812%19 Oct →
ancient11–13-0.078%16 Oct →
mirage8–13-0.0211%16 Oct →
dust29–13-0.0521%16 Oct →
inferno16–13-0.0617%15 Oct →
train13–10-0.008%12 Oct →
ancient13–50.0227%12 Oct →
inferno13–100.0510%12 Oct →
inferno2–9-0.078%12 Oct →
rooftop9–50.0213%12 Oct →
nuke9–20.1213%8 Oct →
mirage13–11-0.0213%8 Oct →
mirage4–13-0.0825%8 Oct →
dust213–80.0222%5 Oct →
inferno10–13-0.0510%5 Oct →
nuke13–30.109%5 Oct →
overpass8–13-0.0315%5 Oct →
ancient13–3-0.0417%5 Oct →
train13–70.0023%5 Oct →
nuke4–13-0.0412%3 Oct →
dust25–13-0.0915%3 Oct →
inferno8–13-0.0212%1 Oct →
overpass13–9-0.029%27 Sept →
inferno2–13-0.0717%24 Sept →
dust213–80.0715%22 Sept →
train4–13-0.0212%22 Sept →
overpass13–6-0.0116%18 Sept →
mirage11–130.0217%15 Sept →
train13–100.0215%15 Sept →
nuke11–13-0.0321%15 Sept →
dust22–13-0.074%15 Sept →
nuke4–13-0.0519%14 Sept →
ancient6–13-0.0213%10 Sept →
dust216–13-0.0738%10 Sept →
overpass13–100.0211%10 Sept →
inferno4–13-0.085%5 Sept →
overpass13–80.056%5 Sept →
ancient13–11-0.059%5 Sept →
inferno9–7-0.0512%5 Sept →
nuke15–15-0.088%1 Sept →
ancient4–130.0221%1 Sept →
overpass13–5-0.0117%1 Sept →
vertigo6–90.0923%30 Aug →
mirage14–160.0410%26 Aug →

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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