Mr.José Tariquet

Mr.José Tariquet — CS2 Stats

FR76561198378675392[U:1:418409664]Steam profile ↗✓ No bans

411Tracked matches45%Win rate2020Tracked since
712Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating16,411Purple band · top ~22.8% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,411 -2,245 2 Aug – 4 Nov · 39 days played
15,47318,662peak 18,6622 Aug4 Nov
19,007Peak Premier in tracked matches
40Days played since 2026-08-02

Premier CS Rating

  • 2,251 below peak (18,662)
  • -1,283 over 30 days · declining
  • -1,890 over 90 days
  • Next: Pink band at 20,000 — 3,589 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.9%44.4%46.9%above
Shot accuracy9.6%11.9%13.0%3.4% short
Kill/death ratio1.021.031.080.06 short
Match win rate44.2%45.2%46.7%2.5% short

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

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

Share this profile

CSDB.GGMr.José TariquetPREMIER16,411 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim51
Positioning50
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWLLLTLWLWW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.6pp headshot accuracy · +24ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 644ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 638ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 626ms

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 (+1.4 against its own average).

Aim5.1
Utility4.6
Positioning5.0
Opening Duels1.2

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.

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

iM

Plays most like iM 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 597ms 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

Aim5.1
Positioning5.0
Utility4.6
Mechanics6.0
Opening Duels3.5
Win Impact3.3

Composite 4.8/10 (Developing), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time600ms+24ms
first ⅓ avg 576ms → last ⅓ avg 600ms
Headshot accuracy12.5%−5.1%
first ⅓ avg 17.6% → last ⅓ avg 12.5%

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.

Personal bests

0.12Best match rating · 13–2 · mirage, 17 Sept →
40%Best headshot accuracy · 13–3 · cache, 30 Aug →
406msFastest reaction time · 8–8 · overpass, 23 Sept →
13–0Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–2In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 62% over 21anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A3017–1357%-0.02
mirageA2113–862%0.00
cacheD165–1131%-0.02
infernoC146–843%-0.01
nukeB84–450%0.00
anubisD50–50%-0.01
ancientD51–420%-0.02
overpass—10–10%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,209Lifetime kills
1.02K/D
2,515Matches
44.2%Match win rate
47.9%Headshot % · Top 50% of Purple band
9.6%Shot accuracy
6,727MVPs
712Hours (in match)
2,819Bombs planted
468Bombs defused

Most-used weapons

Lifetime map wins

4,206dust2
3,584inferno
1,990vertigo
1,229nuke
287train
279cbble
200lake
73office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
33.7%Spray accuracy
77.2%Counter-strafing
9.7°Preaim
597msReaction time
48.6%T opening success
39.1%CT opening success
0.47Enemies flashed / flash
3.3%Flash assists
11.95HE damage / grenade
2.20Flashes / 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 12.551% — below the 15% 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 0.4743 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.1078% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.108%4 Nov →
cache3–13-0.0523%4 Nov →
dust29–130.0310%3 Nov →
mirage6–130.0115%1 Nov →
nuke15–150.0115%30 Oct →
mirage8–130.0713%28 Oct →
mirage13–7-0.0613%28 Oct →
cache13–16-0.0112%26 Oct →
mirage13–30.0311%26 Oct →
cache13–5-0.0313%25 Oct →
dust26–13-0.0819%25 Oct →
nuke13–9-0.0120%25 Oct →
dust213–20.0713%25 Oct →
inferno5–130.029%25 Oct →
dust213–10.049%24 Oct →
anubis7–130.0112%22 Oct →
inferno14–160.0218%21 Oct →
dust21–6-0.158%21 Oct →
dust26–13-0.0418%19 Oct →
dust213–110.0012%18 Oct →
mirage9–13-0.108%18 Oct →
dust213–40.048%15 Oct →
dust213–10-0.017%15 Oct →
cache7–13-0.0313%12 Oct →
dust213–100.019%12 Oct →
nuke8–13-0.0213%12 Oct →
inferno13–7-0.0510%9 Oct →
nuke8–13-0.047%9 Oct →
inferno13–100.0015%7 Oct →
mirage5–130.0113%7 Oct →
ancient10–13-0.0614%7 Oct →
mirage13–10-0.0012%4 Oct →
cache13–40.1013%4 Oct →
nuke10–6-0.0014%4 Oct →
mirage13–7-0.0013%4 Oct →
dust24–13-0.0018%4 Oct →
inferno7–13-0.0415%4 Oct →
mirage5–00.0517%4 Oct →
dust213–110.0611%4 Oct →
dust25–13-0.0523%2 Oct →
ancient5–130.0610%2 Oct →
mirage13–110.0410%2 Oct →
dust213–5-0.0615%1 Oct →
dust28–130.0320%1 Oct →
dust213–00.0715%1 Oct →
inferno5–13-0.0217%28 Sept →
mirage13–90.0120%28 Sept →
dust216–14-0.0010%27 Sept →
inferno13–5-0.0315%27 Sept →
dust213–80.0915%23 Sept →
anubis15–15-0.0311%23 Sept →
overpass8–80.0214%23 Sept →
dust213–30.0117%19 Sept →
inferno7–130.0219%19 Sept →
dust22–13-0.027%18 Sept →
dust26–13-0.1218%18 Sept →
inferno9–70.0226%18 Sept →
dust26–13-0.0725%17 Sept →
mirage13–20.1212%17 Sept →
cache1–13-0.0514%17 Sept →
dust26–10.0313%17 Sept →
nuke13–70.0416%1 Sept →
mirage8–130.0124%1 Sept →
cache9–13-0.0516%1 Sept →
dust213–10-0.019%1 Sept →
inferno7–130.0126%31 Aug →
mirage13–40.0726%31 Aug →
mirage13–30.0011%31 Aug →
mirage13–6-0.048%30 Aug →
ancient13–70.0213%30 Aug →
anubis9–13-0.0228%30 Aug →
nuke13–70.0526%30 Aug →
dust29–13-0.0627%30 Aug →
dust27–13-0.0416%30 Aug →
cache13–30.0140%30 Aug →
cache7–13-0.0224%29 Aug →
mirage10–13-0.0616%29 Aug →
mirage13–100.0318%29 Aug →
dust29–13-0.0415%29 Aug →
nuke14–16-0.0119%29 Aug →
cache13–110.1118%28 Aug →
anubis0–11-0.0313%21 Aug →
inferno8–2-0.0017%21 Aug →
inferno9–13-0.0614%18 Aug →
cache10–130.0026%18 Aug →
anubis7–130.0420%17 Aug →
mirage6–13-0.0521%17 Aug →
ancient9–13-0.108%17 Aug →
dust213–9-0.039%17 Aug →
cache10–13-0.0611%16 Aug →
cache16–13-0.0114%15 Aug →
mirage1–13-0.0016%15 Aug →
cache6–13-0.1129%12 Aug →
cache15–15-0.0321%9 Aug →
cache9–13-0.0314%4 Aug →
inferno13–8-0.0014%4 Aug →
inferno10–13-0.0025%3 Aug →
dust213–5-0.0910%3 Aug →
mirage13–9-0.047%2 Aug →
ancient13–16-0.0415%2 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.