Tartantari

Tartantari — CS2 Stats

EE76561198169435618[U:1:209169890]Steam profile ↗✓ No bans

2,610Tracked matches50%Win rate2021Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating6,301Light Blue band · top ~72.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+213Premier CS Rating · 6,088 → 6,301

Rating over time

Premier CS Rating: 6,301 +140 28 Aug – 21 Oct · 22 days played
5,3927,335peak 7,33528 Aug21 Oct
7,809Peak Premier in tracked matches
24Days played since 2026-08-28

Premier CS Rating

  • 1,034 below peak (7,335)
  • +144 over 30 days · steady
  • Next: Blue band at 10,000 — 3,699 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-04

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

Share this profile

CSDB.GGTartantariFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,301 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning35
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateWWLWLLWLLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +3.0pp headshot accuracy · +124ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 781ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 749ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 686ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim3.9
Utility5.2
Positioning3.5
Opening Duels0.0
Clutch2.6

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

ZywOo

Plays most like ZywOo 74% 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. 696ms 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

Aim3.9
Positioning3.5
Utility5.2
Mechanics6.3
Opening Duels0.0
Win Impact5.0

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time682ms+8ms
first ⅓ avg 674ms → last ⅓ avg 682ms
Headshot accuracy10.3%−0.4%
first ⅓ avg 10.6% → last ⅓ avg 10.3%

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

0.13Best match rating · 9–6 · vertigo, 18 Oct →
26%Best headshot accuracy · 13–3 · anubis, 20 Oct →
484msFastest reaction time · 9–6 · vertigo, 18 Oct →
13–2Biggest win · inferno, 8 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 56% over 9ancientWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC167–944%-0.01
infernoB168–850%-0.03
ancientD153–1220%-0.03
anubisB147–750%-0.01
mirageB126–650%0.00
cacheC104–640%-0.03
dust2A95–456%-0.02
vertigo—31–233%0.01
overpass—20–20%-0.01
train—11–0100%-0.03
eldorado—10–10%-0.26
debris—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

128Matches
49%Win rate
0.85Avg K/D
64.6ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
4%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient3053%0.8212.2
Anubis2741%0.9012.6
Inferno2348%0.9212.9
Nuke1567%0.8112.5
Vertigo944%0.7113.3
Train771%0.8512.1
Mirage729%0.7110.9
Dust2520%0.517.2

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.

10.1%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.0%Spray accuracy
78.1%Counter-strafing
12.2°Preaim
696msReaction time
26.0%T opening success
23.1%CT opening success
0.57Enemies flashed / flash
4.3%Flash assists
8.96HE damage / grenade
4.25Flashes / 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 12.1908° — above the 12° mark we flag

    Aim Training →
  2. 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 10.0598% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–30.0511%21 Oct →
anubis13–9-0.068%21 Oct →
anubis2–13-0.0511%21 Oct →
train13–4-0.0310%20 Oct →
ancient9–13-0.0210%20 Oct →
ancient10–13-0.0111%20 Oct →
anubis13–30.0626%20 Oct →
overpass4–9-0.0510%19 Oct →
eldorado2–9-0.2616%19 Oct →
debris9–60.0210%19 Oct →
vertigo9–60.138%18 Oct →
nuke5–90.028%18 Oct →
inferno6–9-0.0912%18 Oct →
dust213–110.0310%9 Oct →
mirage6–13-0.033%9 Oct →
mirage11–130.0111%8 Oct →
inferno6–130.0114%4 Oct →
mirage16–14-0.048%3 Oct →
cache14–16-0.0511%2 Oct →
inferno1–13-0.1010%2 Oct →
mirage13–6-0.0410%2 Oct →
cache3–13-0.085%2 Oct →
cache13–110.018%2 Oct →
ancient8–13-0.015%2 Oct →
anubis11–13-0.059%2 Oct →
dust27–00.0313%2 Oct →
dust213–4-0.0014%2 Oct →
inferno13–11-0.0410%1 Oct →
nuke13–80.015%1 Oct →
cache13–6-0.0113%1 Oct →
anubis13–80.066%1 Oct →
ancient5–13-0.0912%1 Oct →
inferno10–13-0.0512%25 Sept →
cache13–16-0.0513%25 Sept →
cache13–16-0.0610%25 Sept →
mirage13–30.039%25 Sept →
anubis13–7-0.0413%25 Sept →
ancient5–13-0.0820%25 Sept →
dust23–13-0.0323%25 Sept →
nuke10–13-0.045%23 Sept →
anubis13–80.025%23 Sept →
inferno1–13-0.0412%23 Sept →
inferno11–13-0.0913%18 Sept →
anubis10–130.0411%18 Sept →
dust28–13-0.0716%18 Sept →
ancient10–13-0.019%18 Sept →
nuke13–50.099%18 Sept →
inferno13–7-0.0210%18 Sept →
ancient13–80.0516%12 Sept →
anubis10–13-0.019%12 Sept →
anubis13–90.0211%12 Sept →
ancient10–13-0.1014%11 Sept →
ancient13–60.0310%11 Sept →
inferno13–90.026%11 Sept →
nuke10–13-0.0410%11 Sept →
cache6–13-0.057%10 Sept →
inferno13–110.0310%10 Sept →
ancient3–13-0.0611%10 Sept →
inferno13–60.0015%10 Sept →
cache13–6-0.0110%10 Sept →
nuke15–15-0.019%10 Sept →
dust213–10-0.0312%10 Sept →
dust213–90.0314%9 Sept →
mirage13–90.0412%9 Sept →
ancient13–4-0.0116%9 Sept →
mirage9–130.0810%9 Sept →
mirage8–130.055%9 Sept →
nuke13–4-0.0013%9 Sept →
mirage14–160.029%8 Sept →
inferno13–20.056%8 Sept →
nuke13–100.0412%8 Sept →
anubis13–80.038%8 Sept →
ancient7–13-0.076%8 Sept →
mirage16–13-0.0015%8 Sept →
ancient10–13-0.0911%8 Sept →
nuke9–130.0121%7 Sept →
cache10–13-0.0214%7 Sept →
inferno13–60.0512%7 Sept →
dust21–13-0.078%7 Sept →
vertigo7–9-0.0311%5 Sept →
nuke1–9-0.235%5 Sept →
inferno0–9-0.270%5 Sept →
overpass2–130.0314%5 Sept →
vertigo5–13-0.0618%5 Sept →
mirage11–13-0.0411%4 Sept →
ancient6–13-0.009%4 Sept →
nuke7–13-0.028%4 Sept →
nuke8–13-0.0214%3 Sept →
anubis10–13-0.057%3 Sept →
nuke13–20.033%3 Sept →
inferno13–40.055%2 Sept →
anubis3–130.0211%2 Sept →
nuke7–130.025%28 Aug →
cache13–30.0624%28 Aug →
inferno11–130.0211%28 Aug →
dust25–13-0.0423%28 Aug →
ancient9–13-0.0315%28 Aug →
mirage16–14-0.045%28 Aug →
nuke13–6-0.026%28 Aug →
anubis1–13-0.1213%28 Aug →

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 →

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