ATONTAOS | Iñaki

ATONTAOS | Iñaki — CS2 Stats

ES76561198078286279[U:1:118020551]Steam profile ↗✓ No bans

4,461Tracked matches43%Win rate2020Tracked since
6,256Hours in CS
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating21,237Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#14143 of 43840 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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 playerPink band medianRed band medianvs Red band
Headshot rate51.1%47.1%50.0%above
Shot accuracy17.5%12.8%13.5%above
Kill/death ratio1.181.081.13above
Match win rate28.9%46.6%48.4%19.5% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGATONTAOS | IñakiPREMIER21,237 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY50464Last 10050%Win rateWLWWLLTLWW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.7
Aggression6.2
Utility3.9
Positioning4.8
Opening Duels3.1
Clutch3.4

Limited utility dependence

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

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

Reaction time. 595ms 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

Aim7.7
Positioning4.8
Utility3.9
Mechanics8.0
Opening Duels3.1
Win Impact2.6

Composite 5.7/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time597ms−74ms
first ⅓ avg 671ms → last ⅓ avg 597ms
Headshot accuracy22.0%−2.3%
first ⅓ avg 24.3% → last ⅓ avg 22.0%

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 — cache 13–5
130Biggest win — cache
5Longest win streak
64In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 71% over 14infernoWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
infernoD2891932%-0.00
ancientB21101148%0.02
anubisA1810856%0.00
cacheS1410471%0.02
nukeA85363%0.05
dust2S64267%0.03
mirageC52340%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

482,301Lifetime kills
1.18K/D · Top 50% of Pink band
18,093Matches
28.9%Match win rate
51.1%Headshot % · Top 50% of Pink band
17.5%Shot accuracy · Top 25% of Pink band
31,180MVPs
6,256Hours (in match)
10,591Bombs planted
2,853Bombs defused

Most-used weapons

AK-47195,318
AWP40,880
MP96,914
P906,133
SG 5535,787

Lifetime map wins

44,690dust2
18,374inferno
4,934vertigo
3,192nuke
1,882train
1,423cbble
336safehouse
314bank

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

Faceit stats

Combat

836Matches
53%Win rate
1.24Avg K/D
84.9ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
38%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient6653%1.2018.5
Vertigo5161%1.1717.9
Mirage4736%1.0918.4
Anubis4240%1.0817.4
Inferno4062%1.2620.2
Dust22259%1.3321.2
Overpass1741%1.2217.8
Nuke1429%1.1718.5

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.

22.5%Headshot accuracy
38.4%Accuracy (enemy spotted)
37.4%Spray accuracy
85.8%Counter-strafing
11.9°Preaim
595msReaction time
42.8%T opening success
42.0%CT opening success
0.47Enemies flashed / flash
11.0%Flash assists
11.23HE damage / grenade
1.59Flashes / 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. 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 0.4684 — 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.

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0018%29 Aug
anubis7–13-0.0215%29 Aug
cache13–10.0318%29 Aug
inferno13–70.0535%25 Aug
inferno2–13-0.0630%25 Aug
cache10–13-0.0122%24 Aug
inferno15–150.0134%24 Aug
inferno11–130.0322%23 Aug
ancient13–20.1430%23 Aug
anubis13–7-0.0315%23 Aug
anubis7–130.0318%23 Aug
dust213–110.0736%23 Aug
inferno7–130.0425%23 Aug
nuke8–130.0625%22 Aug
anubis10–13-0.0028%22 Aug
inferno13–40.0421%22 Aug
ancient13–20.0822%22 Aug
dust22–13-0.0413%22 Aug
ancient9–130.0317%21 Aug
inferno13–7-0.0214%21 Aug
anubis13–11-0.0120%20 Aug
mirage13–30.0913%20 Aug
inferno10–13-0.0524%20 Aug
cache9–13-0.0035%20 Aug
inferno8–13-0.0122%19 Aug
nuke15–150.0320%19 Aug
nuke7–13-0.0227%19 Aug
ancient10–13-0.0012%18 Aug
anubis13–80.0517%18 Aug
ancient8–13-0.0719%18 Aug
ancient12–160.0223%18 Aug
inferno13–100.0221%17 Aug
inferno8–130.0216%17 Aug
mirage3–70.0016%17 Aug
ancient15–150.0322%16 Aug
ancient13–100.0523%16 Aug
ancient10–13-0.0416%16 Aug
anubis13–16-0.0221%16 Aug
cache6–13-0.0122%16 Aug
anubis3–13-0.0733%16 Aug
ancient5–13-0.0212%16 Aug
anubis13–20.0135%16 Aug
cache13–40.0511%15 Aug
inferno1–13-0.0933%13 Aug
cache13–110.0617%13 Aug
inferno16–13-0.0137%13 Aug
ancient6–13-0.0128%13 Aug
mirage10–13-0.0427%13 Aug
inferno11–13-0.0219%11 Aug
dust27–130.0639%11 Aug
ancient3–130.0323%10 Aug
ancient13–80.0530%10 Aug
dust213–70.0325%9 Aug
dust213–80.0323%7 Aug
anubis4–13-0.0127%7 Aug
inferno8–13-0.0621%6 Aug
cache13–50.1528%6 Aug
inferno4–13-0.0330%6 Aug
ancient15–150.0325%6 Aug
ancient13–9-0.0013%6 Aug
nuke13–20.1035%6 Aug
nuke13–100.0927%5 Aug
cache13–90.0429%5 Aug
ancient9–13-0.0314%5 Aug
cache13–00.0122%5 Aug
anubis13–11-0.0229%4 Aug
anubis13–50.0623%4 Aug
inferno6–90.0537%4 Aug
ancient13–50.0335%4 Aug
anubis13–50.0024%3 Aug
anubis13–50.0321%3 Aug
inferno16–140.0621%3 Aug
mirage13–80.0432%3 Aug
inferno11–13-0.0318%3 Aug
mirage3–13-0.0142%2 Aug
cache13–30.0618%2 Aug
inferno9–13-0.0017%2 Aug
inferno10–130.0227%1 Aug
cache13–70.0430%1 Aug
ancient13–10-0.0125%1 Aug
ancient13–8-0.0128%31 Jul
cache13–7-0.0211%31 Jul
ancient13–90.0123%31 Jul
inferno8–13-0.0617%31 Jul
inferno13–80.0620%31 Jul
anubis9–130.0729%31 Jul
nuke13–60.0133%31 Jul
anubis13–80.0223%30 Jul
inferno13–110.0533%30 Jul
nuke13–100.0224%30 Jul
cache6–13-0.1115%28 Jul
dust213–6-0.0114%28 Jul
inferno7–13-0.0521%28 Jul
cache13–100.0538%24 Jul
anubis9–13-0.0117%23 Jul
ancient13–60.0333%23 Jul
inferno11–13-0.0318%23 Jul
anubis13–90.0122%23 Jul
nuke13–70.1221%23 Jul
inferno12–160.0118%22 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →