Kingbirne

Kingbirne — CS2 Stats

76561198085259700[U:1:124993972]Steam profile ↗✓ No bans

1,136Tracked matches45%Win rate2021Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating14,164Blue band · top ~32.8% of ranked players (population est.)
FaceitLevel 6 · 1,158 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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: 14,164 +3,004 3 Jul – 11 Oct · 29 days played
10,95715,188peak 15,1883 Jul11 Oct
Faceit ELO: 1,158 +0 19 Sept – 20 Sept · 2 observations
1,1581,158peak 1,15819 Sept20 Sept
15,431Peak Premier in tracked matches
1,158Highest Faceit ELO seen on CSDB
36Days played since 2026-07-03

Faceit ELO

  • At peak — 1,158
  • Next: Level 6 at 1,201 — 43 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-19
  • Level 4 first seen 2026-09-19

Premier CS Rating

  • 1,024 below peak (15,188)
  • +753 over 30 days · improving
  • +2,378 over 90 days
  • Next: Purple band at 15,000 — 836 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-19
  • Light 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKingbirneFACEITLevel 6 · 1,158 ELOSTANDINGTop 54.0% of rankedPREMIER14,164 · Blue bandPEAK ELO1,158csdb.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

Aim61
Positioning56
Utility45

0–100 skill scores via Leetify.

Recent form

COLD39–53–8Last 10039%Win rateWLLLLLTLLL

Last 10 vs previous 10: −60pp win rate · −0.02 avg rating · +4.7pp headshot accuracy · +30ms reaction

Win rate down 60pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 630ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 608ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 593ms

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 (+1.5 against its own average).

Aim6.1
Utility4.5
Positioning5.6
Opening Duels2.1
Clutch4.0

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 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 613ms 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

Aim6.1
Positioning5.6
Utility4.5
Mechanics6.3
Opening Duels3.2
Win Impact3.3

Composite 5.0/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time606ms−106ms
first ⅓ avg 713ms → last ⅓ avg 606ms
Headshot accuracy24.3%−2.0%
first ⅓ avg 26.4% → last ⅓ avg 24.3%

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

0.07Best match rating · 9–1 · inferno, 21 Sept →
56%Best headshot accuracy · 11–13 · cache, 7 Jul →
438msFastest reaction time · 4–13 · inferno, 30 Sept →
13–1Biggest win · cache, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 50% over 18ancientWeakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
ancientD215–1624%-0.04
mirageC188–1044%-0.04
infernoC187–1139%-0.03
cacheB189–950%-0.04
dust2D82–625%-0.04
anubisB84–450%-0.04
nuke—32–167%-0.05
overpass—32–167%0.00
rush_001—20–20%-0.10
train—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (24% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

211Matches
55%Win rate
0.82Avg K/D
68.6ADR
51%Headshot %

Clutches & streaks

40%1v1 clutch win
11%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2931%0.7813.6
Ancient2580%0.9215.2
Inferno2273%0.8512.4
Overpass771%1.3016.7
Anubis60%0.569.5
Nuke580%1.1917.2
Train3100%0.8213.0
Dust2250%0.9618.5

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.

24.7%Headshot accuracy
28.3%Accuracy (enemy spotted)
27.8%Spray accuracy
78.3%Counter-strafing
9.1°Preaim
613msReaction time
43.5%T opening success
42.3%CT opening success
0.56Enemies flashed / flash
4.7%Flash assists
10.09HE damage / grenade
2.68Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6767 — below the 4 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.

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.0433%11 Oct →
mirage7–13-0.0630%11 Oct →
dust28–13-0.0817%9 Oct →
dust26–13-0.0620%9 Oct →
mirage7–13-0.0426%2 Oct →
inferno9–130.0126%1 Oct →
cache15–15-0.0219%1 Oct →
rush_0017–8-0.0833%1 Oct →
rush_0017–8-0.1127%1 Oct →
inferno4–13-0.0320%30 Sept →
ancient6–13-0.0336%30 Sept →
dust210–13-0.0430%30 Sept →
cache13–11-0.0214%29 Sept →
nuke16–120.0120%29 Sept →
ancient13–7-0.0123%29 Sept →
dust213–8-0.0224%29 Sept →
ancient5–13-0.054%28 Sept →
cache13–10-0.0118%28 Sept →
inferno13–9-0.0118%28 Sept →
inferno9–7-0.0817%27 Sept →
inferno8–80.0110%27 Sept →
inferno8–8-0.1413%27 Sept →
cache14–16-0.0325%27 Sept →
mirage5–13-0.0635%23 Sept →
mirage13–10-0.0331%23 Sept →
inferno13–110.0115%23 Sept →
dust24–13-0.0050%23 Sept →
ancient13–110.0029%23 Sept →
anubis5–130.0029%22 Sept →
cache3–13-0.1331%22 Sept →
mirage13–60.0332%22 Sept →
nuke11–13-0.1112%22 Sept →
overpass9–30.0438%21 Sept →
inferno9–10.0750%21 Sept →
ancient2–13-0.1211%13 Sept →
mirage13–11-0.0744%8 Sept →
cache13–10.0628%8 Sept →
cache1–13-0.0645%27 Aug →
cache14–16-0.0324%23 Aug →
ancient7–13-0.0613%21 Aug →
cache11–13-0.0740%21 Aug →
cache13–40.0024%21 Aug →
mirage3–13-0.0827%21 Aug →
inferno13–16-0.0526%21 Aug →
anubis8–4-0.0613%21 Aug →
ancient3–13-0.0913%21 Aug →
mirage15–15-0.0227%21 Aug →
anubis2–13-0.0831%17 Aug →
ancient7–13-0.0725%17 Aug →
cache13–8-0.0524%17 Aug →
ancient13–60.0141%13 Aug →
cache13–11-0.1035%13 Aug →
mirage15–15-0.0414%6 Aug →
cache13–9-0.0526%2 Aug →
ancient15–150.0126%30 Jul →
ancient10–13-0.0030%29 Jul →
anubis13–80.0127%29 Jul →
inferno10–13-0.0835%29 Jul →
mirage3–13-0.0724%29 Jul →
nuke9–5-0.0636%27 Jul →
ancient7–13-0.0619%27 Jul →
mirage16–140.0123%27 Jul →
ancient4–13-0.1223%27 Jul →
dust213–7-0.0528%20 Jul →
inferno13–8-0.0338%20 Jul →
ancient3–13-0.0429%20 Jul →
cache13–7-0.0524%19 Jul →
ancient9–13-0.0419%19 Jul →
inferno10–13-0.0423%19 Jul →
inferno13–11-0.0426%18 Jul →
dust23–13-0.0511%18 Jul →
mirage13–4-0.0150%18 Jul →
inferno8–13-0.1116%18 Jul →
anubis7–13-0.0517%18 Jul →
mirage13–8-0.0324%18 Jul →
ancient13–4-0.0226%18 Jul →
anubis13–16-0.0236%17 Jul →
ancient9–13-0.0434%16 Jul →
cache13–10-0.0126%15 Jul →
inferno2–13-0.0419%15 Jul →
mirage13–80.0024%15 Jul →
dust24–13-0.0228%15 Jul →
mirage9–13-0.0720%14 Jul →
ancient13–16-0.0235%14 Jul →
inferno16–140.0020%13 Jul →
train3–13-0.0816%7 Jul →
cache11–13-0.0456%7 Jul →
ancient8–13-0.0921%6 Jul →
overpass13–8-0.0221%6 Jul →
mirage13–9-0.0719%5 Jul →
anubis13–9-0.0436%5 Jul →
inferno12–16-0.0332%5 Jul →
anubis13–6-0.0621%5 Jul →
mirage10–13-0.0431%5 Jul →
mirage10–13-0.0523%5 Jul →
cache12–12-0.0526%4 Jul →
ancient8–13-0.0423%4 Jul →
inferno5–13-0.0323%3 Jul →
overpass11–13-0.0129%3 Jul →
cache12–12-0.0338%3 Jul →

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 →

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