Ash-breasted Tit-Tyrant

Ash-breasted Tit-Tyrant — CS2 Stats

FI76561197985630326[U:1:25364598]Steam profile ↗✓ No bans

383Tracked matches27%Win rate2026Tracked since
605Hours in CS24Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating16,979Purple band · top ~20.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−168Premier CS Rating · 17,147 → 16,979

Rating over time

Premier CS Rating: 16,979 +636 6 Sept – 4 Nov · 27 days played
16,22519,560peak 19,5606 Sept4 Nov
19,793Peak Premier in tracked matches
26Days played since 2026-09-06

Premier CS Rating

  • 2,581 below peak (19,560)
  • -1,233 over 30 days · declining
  • Next: Pink band at 20,000 — 3,021 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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 rate44.0%44.4%46.9%3.0% short
Shot accuracy8.9%11.9%13.0%4.1% short
Kill/death ratio1.081.031.08meets
Match win rate40.1%45.2%46.7%6.5% 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.GGAsh-breasted Tit-TyrantPREMIER16,979 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning51
Utility41

0–100 skill scores via Leetify.

Recent form

COLD32–68Last 10032%Win rateLWWLLLWLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · +64ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 603ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 616ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 584ms

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).

Aim5.6
Utility4.1
Positioning5.1
Opening Duels1.7
Clutch4.0

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 574ms 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

Aim5.6
Positioning5.1
Utility4.1
Mechanics6.2
Opening Duels3.0
Win Impact0.0

Composite 4.5/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time581ms+5ms
first ⅓ avg 576ms → last ⅓ avg 581ms
Headshot accuracy11.5%−2.3%
first ⅓ avg 13.7% → last ⅓ avg 11.5%

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

0.07Best match rating · 7–2 · mirage, 26 Sept →
30%Best headshot accuracy · 13–5 · nuke, 29 Sept →
391msFastest reaction time · 13–6 · dust2, 13 Sept →
13–4Biggest win · ancient, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 58% over 12mirageWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB2010–1050%-0.03
dust2D195–1426%-0.01
infernoD186–1233%-0.01
mirageD162–1413%-0.01
cacheD122–1017%-0.01
ancientA127–558%-0.02
anubis—20–20%-0.06
rush_001—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,238Lifetime kills
1.08K/D · Top 50% of Purple band
1,542Matches
40.1%Match win rate
44.0%Headshot %
8.9%Shot accuracy
2,032MVPs
412Hours (in match)
631Bombs planted
503Bombs defused

Most-used weapons

Lifetime map wins

1,615dust2
1,480inferno
1,448nuke
480vertigo
220cbble
189train
81lake
73office

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

Faceit stats

Combat

11Matches
45%Win rate
0.73Avg K/D
59.7ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke30%0.498.3
Cache367%0.557.7
Dust2367%0.9811.0
Inferno250%0.9813.0

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.

11.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
37.9%Spray accuracy
77.9%Counter-strafing
10.8°Preaim
574msReaction time
43.0%T opening success
40.9%CT opening success
0.39Enemies flashed / flash
3.1%Flash assists
14.91HE damage / grenade
5.29Flashes / 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 11.3265% — 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 0.3897 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0022%4 Nov →
inferno13–7-0.0312%3 Nov →
nuke13–10-0.044%3 Nov →
cache10–13-0.0514%3 Nov →
mirage4–13-0.0719%2 Nov →
dust24–13-0.069%2 Nov →
ancient13–8-0.0210%2 Nov →
dust26–13-0.108%31 Oct →
mirage3–13-0.0212%31 Oct →
cache6–130.025%31 Oct →
nuke13–10-0.054%31 Oct →
inferno10–130.0120%31 Oct →
cache11–13-0.036%31 Oct →
mirage7–13-0.0126%30 Oct →
nuke11–13-0.0113%30 Oct →
dust22–130.002%30 Oct →
dust23–13-0.0516%27 Oct →
dust27–13-0.0511%27 Oct →
nuke10–13-0.0415%25 Oct →
inferno13–80.0120%25 Oct →
ancient13–100.0113%23 Oct →
inferno13–110.027%23 Oct →
dust213–70.019%23 Oct →
cache2–13-0.0713%23 Oct →
ancient8–13-0.072%23 Oct →
inferno8–130.0010%23 Oct →
cache3–13-0.0811%23 Oct →
anubis5–13-0.015%23 Oct →
dust23–13-0.0511%23 Oct →
mirage5–130.0210%23 Oct →
dust25–13-0.0610%19 Oct →
ancient13–10-0.0218%19 Oct →
nuke13–8-0.0211%19 Oct →
inferno10–13-0.0211%18 Oct →
nuke13–9-0.0418%18 Oct →
inferno8–13-0.0612%16 Oct →
mirage2–13-0.050%16 Oct →
anubis1–13-0.1112%16 Oct →
nuke3–130.0227%16 Oct →
inferno10–13-0.0211%16 Oct →
nuke13–9-0.0214%16 Oct →
cache13–80.034%16 Oct →
dust29–13-0.0016%16 Oct →
mirage13–90.0512%9 Oct →
dust27–130.0317%9 Oct →
nuke13–7-0.0317%9 Oct →
mirage11–13-0.0012%9 Oct →
ancient14–160.0224%8 Oct →
mirage8–13-0.0127%8 Oct →
cache6–130.0418%8 Oct →
mirage7–13-0.069%5 Oct →
mirage9–13-0.038%5 Oct →
rush_0015–8-0.030%5 Oct →
nuke7–13-0.029%4 Oct →
dust27–130.0321%4 Oct →
dust213–80.0512%4 Oct →
inferno8–130.0015%4 Oct →
mirage8–130.0116%29 Sept →
dust29–13-0.0028%29 Sept →
nuke13–5-0.0330%29 Sept →
nuke13–9-0.0313%28 Sept →
mirage10–130.0019%28 Sept →
inferno6–13-0.0020%26 Sept →
nuke9–13-0.0426%26 Sept →
dust23–13-0.0219%26 Sept →
nuke4–13-0.0619%26 Sept →
mirage7–20.0713%26 Sept →
cache9–130.0310%26 Sept →
inferno13–12-0.0117%23 Sept →
inferno10–13-0.0316%23 Sept →
mirage9–13-0.0416%23 Sept →
dust211–130.0510%23 Sept →
ancient13–16-0.0610%21 Sept →
nuke10–13-0.0611%21 Sept →
ancient4–13-0.0114%21 Sept →
cache0–13-0.038%21 Sept →
inferno6–13-0.0410%18 Sept →
nuke7–13-0.0317%18 Sept →
inferno13–90.0519%18 Sept →
ancient13–4-0.039%18 Sept →
cache14–160.0115%18 Sept →
dust22–13-0.0211%18 Sept →
inferno6–13-0.0518%18 Sept →
nuke13–11-0.0214%18 Sept →
mirage4–13-0.0721%18 Sept →
cache6–130.0214%18 Sept →
inferno5–13-0.0426%14 Sept →
dust213–90.0213%14 Sept →
ancient13–10-0.0020%14 Sept →
nuke13–40.038%14 Sept →
inferno6–13-0.0812%13 Sept →
ancient3–00.050%13 Sept →
dust213–6-0.0413%13 Sept →
cache13–4-0.0510%13 Sept →
ancient13–11-0.0418%13 Sept →
inferno13–90.059%10 Sept →
nuke2–13-0.0518%10 Sept →
ancient8–13-0.1017%7 Sept →
nuke3–13-0.0615%6 Sept →
dust213–110.0315%6 Sept →

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 →

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