tatita pablo

tatita pablo — CS2 Stats

CL76561198257087033[U:1:296821305]Steam profile ↗✓ No bans

515Tracked matches39%Win rate2020Tracked since
4,475Hours in CS2Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
CSDB Leaderboard#5118 of 261517 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 515
−3.6ppWin rate · 42.9% → 39.3%

Rating over time

Premier CS Rating: 27,370 +2,735 16 Jul – 16 Oct · 20 days played
24,63527,476peak 27,47616 Jul16 Oct
27,476Peak Premier in tracked matches
41Days played since 2026-07-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches8——
Win rate25%——
K/D1.25——
Headshot %53%——

Measured 16 Oct 2026 → 14 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim80
Positioning64
Utility51

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLLLLLTLWWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +6ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 514ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 537ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 534ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim8.0
Utility5.1
Positioning6.4
Opening Duels5.1
Clutch4.4

Effective flashesLimited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 555ms 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

Aim8.0
Positioning6.4
Utility5.1
Mechanics7.1
Opening Duels5.9
Win Impact1.4

Composite 6.2/10 (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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time550ms−54ms
first ⅓ avg 604ms → last ⅓ avg 550ms
Headshot accuracy14.4%−2.8%
first ⅓ avg 17.2% → last ⅓ avg 14.4%

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.

Personal bests

0.25Best match rating · 13–4 · dust2, 24 Jul →
40%Best headshot accuracy · 4–0 · mirage, 24 Jul →
367msFastest reaction time · 4–0 · mirage, 24 Jul →
13–0Biggest win · dust2, 1 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L5Current streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 67% over 12nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3421–1362%0.06
mirageC2711–1641%0.03
infernoB136–746%0.04
cacheS128–467%0.07
nukeD93–633%0.03
ancient—30–30%0.02
anubis—10–10%0.09
train—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,670Lifetime kills
1.26K/D · Top 25% of tracked players
5,882Matches
49.6%Match win rate · Top 25% of tracked players
43.1%Headshot %
16.4%Shot accuracy · Top 25% of tracked players
19,919MVPs
2,172Hours (in match)
4,151Bombs planted
2,323Bombs defused

Most-used weapons

AK-4746,049
AWP5,113
FAMAS3,958
MP93,214
MAC-103,110

Lifetime map wins

10,611inferno
8,674dust2
2,550nuke
2,019train
1,930lake
1,393vertigo
496cbble
142office

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

Faceit stats

Combat

238Matches
55%Win rate
1.28Avg K/D
99.0ADR
44%Headshot %

Clutches & streaks

42%1v1 clutch win
30%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2560%1.3418.8
Dust21765%1.7521.3
Inferno520%1.1217.8
Nuke367%1.3823.0
Cache367%1.3421.7
Anubis367%1.1717.3
Ancient20%0.9317.0

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.

14.3%Headshot accuracy
38.0%Accuracy (enemy spotted)
41.4%Spray accuracy
81.9%Counter-strafing
8.5°Preaim
555msReaction time
55.2%T opening success
51.8%CT opening success
0.77Enemies flashed / flash
9.5%Flash assists
6.62HE damage / grenade
4.73Flashes / 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. 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 14.2842% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0413%8 Nov →
ancient11–130.0717%8 Nov →
inferno3–130.1215%9 Oct →
mirage4–13-0.0711%9 Oct →
anubis8–130.0913%9 Oct →
dust212–12-0.037%5 Oct →
mirage3–130.0719%5 Oct →
mirage13–100.0810%4 Oct →
inferno13–90.0415%4 Oct →
mirage6–13-0.085%2 Oct →
cache13–30.0915%2 Oct →
mirage13–60.0116%27 Sept →
cache13–80.0311%26 Sept →
dust210–130.0115%25 Sept →
dust24–13-0.018%22 Sept →
nuke5–130.0219%22 Sept →
inferno9–20.1421%22 Sept →
inferno4–90.028%22 Sept →
dust213–70.0915%21 Sept →
dust24–13-0.0011%21 Sept →
mirage13–9-0.0311%17 Sept →
dust210–130.0320%16 Sept →
mirage12–120.0318%15 Sept →
nuke8–130.0617%15 Sept →
inferno13–70.0820%10 Sept →
dust213–80.0114%8 Sept →
inferno7–130.0314%2 Sept →
dust213–70.0615%2 Sept →
mirage2–130.0120%2 Sept →
mirage2–13-0.0115%1 Sept →
dust213–00.0214%1 Sept →
mirage7–13-0.0318%23 Aug →
mirage4–130.0716%23 Aug →
mirage13–40.0712%11 Aug →
dust213–70.0917%10 Aug →
nuke11–130.0728%8 Aug →
mirage6–13-0.0226%4 Aug →
mirage13–30.0311%3 Aug →
dust213–30.0920%3 Aug →
cache13–20.0622%3 Aug →
mirage6–130.1419%3 Aug →
inferno7–13-0.039%1 Aug →
dust210–13-0.019%31 Jul →
mirage13–30.0613%31 Jul →
dust213–10.0813%30 Jul →
mirage13–110.0913%30 Jul →
mirage13–20.1722%28 Jul →
cache8–13-0.0213%28 Jul →
dust213–90.0812%28 Jul →
dust27–130.0521%28 Jul →
dust29–13-0.0310%27 Jul →
dust213–40.1218%27 Jul →
inferno13–16-0.0218%26 Jul →
mirage9–130.0522%26 Jul →
dust213–40.2516%24 Jul →
inferno0–11-0.0513%24 Jul →
dust26–130.0829%24 Jul →
mirage4–00.0640%24 Jul →
nuke11–130.058%23 Jul →
cache13–100.0821%23 Jul →
mirage8–130.0717%23 Jul →
dust213–90.1513%22 Jul →
dust213–50.0518%22 Jul →
dust213–100.1126%22 Jul →
mirage13–60.0912%22 Jul →
train13–7-0.0213%21 Jul →
dust213–110.0119%21 Jul →
cache16–120.0715%21 Jul →
nuke16–140.0113%21 Jul →
cache13–110.1022%20 Jul →
mirage0–9-0.0227%19 Jul →
nuke13–20.0618%19 Jul →
ancient4–130.0211%19 Jul →
dust213–110.0620%17 Jul →
dust213–90.0912%17 Jul →
inferno10–60.1019%17 Jul →
dust29–10.0629%16 Jul →
dust28–130.009%16 Jul →
cache11–130.0530%16 Jul →
inferno13–60.0317%16 Jul →
mirage7–13-0.0121%16 Jul →
dust213–10.1121%16 Jul →
dust213–90.1420%16 Jul →
mirage3–130.0514%16 Jul →
ancient15–15-0.0413%15 Jul →
cache11–130.1218%15 Jul →
cache13–80.079%15 Jul →
mirage9–13-0.0110%15 Jul →
dust29–130.0514%15 Jul →
inferno11–13-0.0316%14 Jul →
dust29–13-0.0223%14 Jul →
nuke1–13-0.0114%14 Jul →
cache12–160.0421%13 Jul →
dust213–50.0616%13 Jul →
mirage13–100.0710%13 Jul →
dust23–13-0.0123%13 Jul →
inferno13–40.0512%13 Jul →
cache13–60.1016%13 Jul →
nuke13–80.0722%13 Jul →
dust213–20.1413%12 Jul →

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 →

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