tatentots

tatentots — CS2 Stats

76561199085276079[U:1:1125010351]Steam profile ↗

2,560Tracked matches43%Win rate2021Tracked since
CSDB Rating5.7 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim71
Positioning63
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY36586Last 10036%Win rateLWLWLWWTLL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression7.7
Utility3.9
Positioning6.3
Opening Duels3.6
Clutch1.4

Strong CT-side opener

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 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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.

T-side openings. Opening success drops from 58% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim7.1
Positioning6.3
Utility3.9
Mechanics7.1
Opening Duels3.6
Win Impact2.6

Composite 5.7/10 (Solid), 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 rating0.06+0.03
first ⅓ avg 0.03 → last ⅓ avg 0.06
Reaction time574ms−122ms
first ⅓ avg 696ms → last ⅓ avg 574ms
Headshot accuracy17.2%−2.7%
first ⅓ avg 19.9% → last ⅓ avg 17.2%

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 13–10
132Biggest win — dust2
3Longest win streak
54In matches decided by ≤2 rounds

Map breakdown

officeBest map · 60% over 5infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheD1861233%0.07
nukeB178947%0.05
dust2D113827%0.03
mirageB105550%0.01
infernoD92722%0.06
vertigoB63350%0.02
officeA53260%0.02
anubis41325%0.06
overpass4040%0.02
ancient3030%0.05
train31233%0.06
warden31233%0.05
shelter2020%-0.02
boulder21150%0.08
fachwerk110100%0.13
debris1010%-0.10
alpine110100%0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
56%Win rate
1.15Avg K/D
65.4ADR
46%Headshot %

Clutches & streaks

27%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2367%1.259.7
Inferno2100%1.3817.0
Ancient10%0.5712.0
Anubis10%1.6226.0
Nuke10%0.508.0
Mirage1100%1.2012.0

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.

18.2%Headshot accuracy
37.3%Accuracy (enemy spotted)
38.5%Spray accuracy
81.9%Counter-strafing
11.4°Preaim
596msReaction time
30.8%T opening success
58.1%CT opening success
0.42Enemies flashed / flash
6.6%Flash assists
5.19HE damage / grenade
7.85Flashes / 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 0.4201 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.8158% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–130.0145%27 Aug
nuke13–70.1617%26 Aug
inferno9–130.0515%26 Aug
inferno13–40.0227%26 Aug
mirage3–8-0.010%24 Aug
nuke13–30.1828%22 Aug
anubis13–40.1816%21 Aug
inferno12–120.0815%21 Aug
dust22–130.0321%21 Aug
cache2–130.0617%21 Aug
mirage8–130.0213%20 Aug
office3–130.0811%20 Aug
train8–13-0.0117%20 Aug
nuke5–13-0.0911%20 Aug
fachwerk13–60.1316%20 Aug
shelter2–13-0.090%20 Aug
nuke10–130.1122%20 Aug
anubis5–130.0416%19 Aug
nuke13–100.0419%19 Aug
office13–11-0.0513%18 Aug
nuke11–130.0811%17 Aug
dust213–90.0328%17 Aug
office13–50.104%17 Aug
train13–90.0515%15 Aug
overpass5–13-0.0617%15 Aug
cache12–120.1722%15 Aug
boulder6–130.1121%15 Aug
boulder13–90.0512%15 Aug
shelter5–130.0428%13 Aug
mirage13–60.1026%8 Aug
inferno3–130.1120%6 Aug
dust28–130.1214%5 Aug
overpass8–130.0511%5 Aug
ancient12–120.0314%4 Aug
mirage13–5-0.0211%4 Aug
nuke8–13-0.0315%3 Aug
mirage13–50.0310%3 Aug
cache13–100.2218%2 Aug
cache7–130.0417%30 Jul
debris4–9-0.1020%22 Jul
nuke13–80.1821%22 Jul
dust25–13-0.0317%22 Jul
cache9–130.1523%17 Jul
mirage13–30.0820%17 Jul
overpass12–120.0718%13 Jul
nuke6–4-0.0514%13 Jul
nuke13–100.0610%6 Jul
inferno11–130.1521%3 Jul
inferno5–130.0529%27 Jun
dust26–130.0211%27 Jun
nuke6–13-0.0213%26 Jun
cache13–100.0914%26 Jun
warden13–40.0917%25 Jun
cache4–130.0415%25 Jun
dust23–13-0.0116%25 Jun
warden6–130.0510%22 Jun
dust213–20.1222%22 Jun
cache9–130.1129%19 Jun
cache6–13-0.0017%19 Jun
vertigo13–80.0117%19 Jun
cache13–100.0417%18 Jun
nuke9–13-0.0015%17 Jun
nuke12–120.1022%8 Jun
mirage9–13-0.0518%8 Jun
vertigo6–130.0612%6 Jun
dust213–50.035%6 Jun
cache7–130.0425%6 Jun
inferno13–80.0323%3 Jun
vertigo13–110.0215%3 Jun
vertigo13–8-0.0711%3 Jun
overpass3–13-0.008%1 Jun
ancient4–130.1016%1 Jun
anubis2–130.0010%1 Jun
mirage9–130.0215%1 Jun
inferno11–130.0423%1 Jun
cache0–4-0.010%1 Jun
anubis4–130.0019%30 May
vertigo3–130.0540%30 May
train4–130.1640%30 May
nuke13–30.1529%30 May
mirage13–80.038%29 May
nuke6–13-0.0421%23 May
cache13–60.0926%23 May
dust29–130.0143%23 May
nuke11–130.0123%21 May
mirage1–13-0.1310%21 May
nuke13–110.0916%20 May
cache13–50.1519%19 May
cache12–120.0522%19 May
office13–90.0122%16 May
office8–13-0.0432%16 May
dust23–130.0615%9 May
inferno3–130.0226%9 May
cache9–130.0214%8 May
alpine12–10.1727%8 May
cache9–130.0117%6 May
dust27–130.0119%5 May
warden5–130.0228%4 May
cache1–2-0.070%3 May
vertigo1–130.0421%3 May

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 →