MrBird

MrBird — CS2 Stats

DE76561198122077916[U:1:161812188]Steam profile ↗✓ No bans

750Tracked matches57%Win rate2024Tracked since
943Hours in CS23Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating12,714Blue band · top ~40.5% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (2 days ago). 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: 12,714 +2,714 21 Aug – 30 Sept · 26 days played
10,00013,561peak 13,56121 Aug30 Sept
13,561Peak Premier in tracked matches
25Days played since 2026-08-21

Premier CS Rating

  • 847 below peak (13,561)
  • +85 over 30 days · steady
  • Next: Purple band at 15,000 — 2,286 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.4%42.0%44.3%9.9% short
Shot accuracy0.2%9.6%11.9%11.6% short
Kill/death ratio0.970.981.030.06 short
Match win rate45.0%43.8%45.2%meets

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

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

Share this profile

CSDB.GGMrBirdPREMIER12,714 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning55
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWLLWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · −12ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 543ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 531ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 537ms

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 (+2.7 against its own average).

Aim6.3
Utility3.2
Positioning5.5
Opening Duels2.4
Clutch0.0

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 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning5.5
Utility3.2
Mechanics4.0
Opening Duels3.0
Win Impact7.2

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time529ms+17ms
first ⅓ avg 512ms → last ⅓ avg 529ms
Headshot accuracy13.8%−2.1%
first ⅓ avg 15.8% → last ⅓ avg 13.8%

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

0.16Best match rating · 13–11 · inferno, 22 Aug →
100%Best headshot accuracy · 2–1 · dust2, 14 Sept →
391msFastest reaction time · 13–6 · inferno, 9 Sept →
13–0Biggest win · inferno, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
13–14In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 100% over 6ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2719–870%0.03
dust2A2313–1057%-0.02
nukeD155–1033%0.00
anubisD124–833%0.02
ancientD92–722%-0.03
mirageB84–450%0.00
cacheS66–0100%0.00

Across the last 100 tracked matches.

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

Lifetime stats

19,624Lifetime kills
0.97K/D
1,354Matches
45.0%Match win rate · Top 50% of Blue band
34.4%Headshot %
0.2%Shot accuracy
2,468MVPs
535Hours (in match)
1,176Bombs planted
345Bombs defused

Most-used weapons

Lifetime map wins

3,439inferno
2,106dust2
1,633nuke
243train
177vertigo
37office
7assault
1ar_baggage

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

Faceit stats

Combat

3Matches
33%Win rate
1.00Avg K/D
67.5ADR
27%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.7514.0
Mirage1100%1.5024.0

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.

13.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
34.3%Spray accuracy
68.0%Counter-strafing
8.6°Preaim
527msReaction time
41.1%T opening success
42.8%CT opening success
0.36Enemies flashed / flash
0.9%Flash assists
9.73HE damage / grenade
2.01Flashes / 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 13.592% — 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 0.3596 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.015%30 Sept →
nuke13–3-0.0413%30 Sept →
inferno7–13-0.0210%30 Sept →
dust29–13-0.0010%30 Sept →
dust216–12-0.0615%30 Sept →
dust213–110.0522%29 Sept →
inferno11–13-0.018%29 Sept →
cache13–110.0112%29 Sept →
cache13–30.0218%29 Sept →
anubis10–130.048%29 Sept →
nuke10–13-0.0225%29 Sept →
inferno10–13-0.0410%27 Sept →
cache13–110.0717%27 Sept →
mirage8–130.0019%27 Sept →
mirage13–80.0010%26 Sept →
dust213–11-0.0110%26 Sept →
cache13–8-0.0411%26 Sept →
ancient7–13-0.0310%26 Sept →
anubis13–11-0.0112%24 Sept →
anubis14–16-0.0310%24 Sept →
mirage13–160.0028%23 Sept →
nuke9–13-0.057%20 Sept →
inferno13–100.0620%20 Sept →
dust213–9-0.068%20 Sept →
inferno9–50.0530%20 Sept →
ancient9–13-0.0616%18 Sept →
cache13–7-0.0010%18 Sept →
anubis9–13-0.0511%18 Sept →
inferno13–80.0720%18 Sept →
inferno13–110.0315%16 Sept →
inferno13–00.0112%16 Sept →
anubis5–13-0.067%14 Sept →
nuke13–90.0315%14 Sept →
inferno11–13-0.0212%14 Sept →
dust22–1-0.07100%14 Sept →
dust28–13-0.067%12 Sept →
dust213–90.0115%12 Sept →
mirage8–130.0116%12 Sept →
inferno11–130.0420%10 Sept →
dust21–13-0.1028%10 Sept →
nuke13–50.0920%10 Sept →
inferno13–100.0213%10 Sept →
dust23–13-0.0921%9 Sept →
ancient7–13-0.008%9 Sept →
nuke13–100.0718%9 Sept →
ancient11–130.0114%9 Sept →
ancient13–6-0.0213%9 Sept →
inferno7–13-0.0710%9 Sept →
inferno13–6-0.018%9 Sept →
dust211–13-0.029%8 Sept →
anubis9–13-0.0416%8 Sept →
mirage13–20.0620%5 Sept →
inferno13–80.0511%5 Sept →
dust212–120.0216%3 Sept →
mirage13–100.0517%3 Sept →
nuke7–130.079%3 Sept →
anubis13–110.0413%2 Sept →
inferno13–11-0.048%2 Sept →
mirage2–13-0.1711%1 Sept →
ancient13–11-0.0717%30 Aug →
inferno13–80.0716%30 Aug →
nuke5–13-0.085%30 Aug →
dust213–9-0.0417%30 Aug →
inferno13–9-0.0112%28 Aug →
ancient11–13-0.0810%28 Aug →
cache13–10-0.0438%28 Aug →
nuke14–16-0.0010%27 Aug →
mirage13–50.0614%27 Aug →
dust213–80.0121%27 Aug →
dust213–20.0519%27 Aug →
dust214–160.0020%27 Aug →
inferno13–100.0817%26 Aug →
inferno13–00.1413%26 Aug →
nuke9–130.0117%26 Aug →
anubis13–100.0716%26 Aug →
anubis8–13-0.0214%26 Aug →
inferno13–20.038%26 Aug →
dust25–130.0011%26 Aug →
inferno13–110.038%26 Aug →
dust216–140.0110%25 Aug →
inferno13–40.0819%25 Aug →
anubis13–30.1316%25 Aug →
dust28–130.0021%25 Aug →
dust213–90.0126%25 Aug →
inferno6–130.0012%25 Aug →
dust210–13-0.0616%25 Aug →
nuke11–13-0.0711%25 Aug →
inferno6–130.0312%25 Aug →
inferno13–5-0.0110%22 Aug →
dust216–12-0.0112%22 Aug →
ancient11–13-0.0312%22 Aug →
nuke13–8-0.0419%22 Aug →
inferno13–110.1614%22 Aug →
nuke3–130.0344%21 Aug →
nuke4–13-0.0425%21 Aug →
anubis14–160.1314%21 Aug →
dust213–8-0.0111%21 Aug →
nuke11–130.0414%21 Aug →
anubis8–13-0.0115%21 Aug →
ancient11–13-0.0213%21 Aug →

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 →

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