OchoaDlg

OchoaDlg — CS2 Stats

76561198294951219[U:1:334685491]Steam profile ↗✓ No bans

672Tracked matches43%Win rate2021Tracked since
600Hours in CS
CSDB Rating3.8 LearningClutch Specialist
Premier CS Rating14,197Blue band · top ~32.7% of ranked players (population est.)
CSDB Leaderboard#14759 of 22354 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate46.4%41.7%44.1%above
Shot accuracy1.8%8.8%11.4%9.6% short
Kill/death ratio0.880.971.030.15 short
Match win rate42.2%43.8%45.2%3.0% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGOchoaDlgPREMIER14,197 · Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning46
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateLWTLLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim3.4
Aggression4.3
Utility4.9
Positioning4.6
Opening Duels0.8
Clutch10.0

Strong CT-side openerReliable in 1v1s

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 79% playstyle similarity

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

Where you differ: lower positioning profile; 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 44% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 669ms 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

Aim3.4
Positioning4.6
Utility4.9
Mechanics6.0
Opening Duels1.8
Win Impact2.6

Composite 3.8/10 (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-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time669ms−20ms
first ⅓ avg 689ms → last ⅓ avg 669ms
Headshot accuracy17.5%+3.1%
first ⅓ avg 14.4% → last ⅓ avg 17.5%

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

0.15Best rating — nuke 13–9
132Biggest win — ancient
6Longest win streak
57In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB30161453%-0.02
ancientB21111052%0.00
anubisC125742%-0.01
dust2C94544%-0.00
mirageC94544%-0.01
overpassB84450%-0.01
infernoD62433%-0.02
cacheA53260%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,487Lifetime kills
0.88K/D
1,401Matches
42.2%Match win rate
46.4%Headshot % · Top 50% of Blue band
1.8%Shot accuracy
2,617MVPs
600Hours (in match)
1,235Bombs planted
357Bombs defused

Most-used weapons

Lifetime map wins

2,370nuke
2,141dust2
1,433inferno
663train
507vertigo
18cbble
3ar_shoots
3ar_baggage

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

Faceit stats

Combat

3Matches
67%Win rate
1.21Avg K/D
77.3ADR
39%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.8211.0
Ancient1100%2.0022.0

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.

17.3%Headshot accuracy
28.2%Accuracy (enemy spotted)
32.4%Spray accuracy
76.9%Counter-strafing
13.4°Preaim
669msReaction time
21.8%T opening success
44.2%CT opening success
0.50Enemies flashed / flash
7.8%Flash assists
9.25HE damage / grenade
6.64Flashes / 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 13.364° — above the 12° mark we flag

    Aim Training
  2. 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 0.4956 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0420%8 Aug
cache13–8-0.028%7 Aug
ancient15–15-0.054%5 Aug
dust25–13-0.0723%5 Aug
ancient6–13-0.0113%4 Aug
nuke13–90.0225%30 Jul
nuke13–30.0426%30 Jul
nuke1–13-0.1114%30 Jul
nuke13–90.1517%29 Jul
nuke5–13-0.039%28 Jul
nuke11–13-0.0724%28 Jul
inferno7–13-0.0718%27 Jul
dust29–13-0.0215%25 Jul
mirage14–16-0.0512%24 Jul
nuke6–13-0.1111%24 Jul
nuke7–13-0.0615%22 Jul
mirage13–11-0.0228%22 Jul
anubis13–16-0.057%20 Jul
ancient9–13-0.0519%16 Jul
ancient13–80.0628%15 Jul
nuke11–3-0.0933%14 Jul
cache13–70.0017%14 Jul
ancient16–12-0.0318%14 Jul
mirage13–90.0224%13 Jul
dust23–13-0.0123%9 Jul
nuke13–80.0113%9 Jul
cache10–13-0.0515%9 Jul
nuke15–15-0.0720%9 Jul
mirage2–13-0.0215%9 Jul
nuke13–9-0.0219%3 Jul
ancient13–3-0.0018%3 Jul
overpass11–130.0011%3 Jul
nuke8–13-0.0217%3 Jul
nuke11–13-0.0214%3 Jul
anubis7–13-0.0313%2 Jul
mirage13–6-0.0413%2 Jul
nuke13–7-0.0214%1 Jul
inferno8–13-0.0517%1 Jul
anubis13–70.0433%29 Jun
nuke13–50.0411%29 Jun
dust25–130.0117%27 Jun
anubis6–13-0.0217%26 Jun
overpass15–150.0113%26 Jun
ancient9–130.0116%26 Jun
inferno13–5-0.038%25 Jun
nuke1–13-0.0821%25 Jun
anubis13–60.0218%25 Jun
dust213–70.0325%25 Jun
ancient13–60.0319%25 Jun
anubis10–13-0.0115%24 Jun
overpass16–120.0218%24 Jun
anubis6–130.0412%22 Jun
nuke13–7-0.0313%22 Jun
ancient8–13-0.0212%21 Jun
ancient13–10-0.0211%20 Jun
anubis13–11-0.0313%20 Jun
ancient11–130.0217%19 Jun
mirage11–13-0.0513%17 Jun
dust213–9-0.0420%17 Jun
overpass8–13-0.0517%17 Jun
ancient13–20.0523%17 Jun
nuke13–7-0.0118%16 Jun
mirage13–80.0124%16 Jun
nuke13–90.0313%14 Jun
ancient13–40.0919%14 Jun
nuke8–13-0.0214%14 Jun
ancient16–130.0110%14 Jun
ancient8–130.0322%14 Jun
inferno13–60.0518%14 Jun
overpass13–11-0.016%13 Jun
ancient13–90.0219%12 Jun
overpass13–80.0219%12 Jun
nuke13–8-0.0217%12 Jun
overpass13–8-0.087%12 Jun
ancient10–130.0122%11 Jun
anubis13–110.0116%31 May
inferno10–13-0.0414%31 May
anubis6–13-0.0513%29 May
ancient13–7-0.019%29 May
overpass10–13-0.0118%29 May
nuke13–70.0424%29 May
dust213–100.0913%22 May
nuke4–13-0.0115%22 May
cache13–100.0217%19 May
dust213–7-0.0118%17 May
cache5–130.0514%17 May
nuke7–13-0.0119%16 May
mirage4–130.0215%16 May
ancient7–13-0.0413%15 May
anubis12–16-0.0511%15 May
dust27–130.0217%14 May
anubis13–11-0.026%13 May
nuke13–100.0118%13 May
nuke13–10-0.0412%13 May
nuke10–13-0.026%13 May
mirage6–13-0.0114%10 May
nuke13–6-0.0310%10 May
ancient13–50.029%10 May
inferno3–13-0.0017%10 May
nuke11–130.045%6 May

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 →