Chickenherder

Chickenherder — CS2 Stats

NO76561198160596456[U:1:200330728]Steam profile ↗✓ No bans

42Tracked matches57%Win rate2026Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating12,437Blue band · top ~42% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Aug 2026 (43 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: 12,437 +2,012 18 Jul – 16 Aug · 10 days played
10,42513,379peak 13,37918 Jul16 Aug
13,379Peak Premier in tracked matches
17Days played since 2026-05-21

Premier CS Rating

  • 942 below peak (13,379)
  • +2,012 over 30 days · improving
  • Next: Purple band at 15,000 — 2,563 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGChickenherderPREMIER12,437 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning51
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY22–17–3Last 4252%Win rateWTWWLLWLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −6.7pp headshot accuracy · −51ms reaction

Win rate down 40pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 522ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 546ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Newest first, from the last 42 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 (+1.1 against its own average).

Aim6.0
Utility6.5
Positioning5.1
Opening Duels4.6

Strong CT-side opener

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

device

Plays most like device 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 58% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms 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

Aim6.0
Positioning5.1
Utility6.5
Mechanics5.1
Opening Duels3.6
Win Impact7.4

Composite 5.4/10 (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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time562ms−86ms
first ⅓ avg 648ms → last ⅓ avg 562ms
Headshot accuracy17.3%−5.9%
first ⅓ avg 23.2% → last ⅓ avg 17.3%

Rolling 5-match average across the last 42 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.22Best match rating · 13–2 · mirage, 21 May →
34%Best headshot accuracy · 10–13 · inferno, 21 May →
453msFastest reaction time · 13–6 · mirage, 15 Aug →
13–1Biggest win · mirage, 31 Jul →

Across the last 42 tracked matches.

Highlights

6Longest win streak
5Overtime games

Map breakdown

mirageBest map · 63% over 16ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA1610–663%0.05
dust2B136–746%0.02
ancientD62–433%0.03
inferno—43–175%0.05
cache—31–233%0.02

Across the last 42 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

19.6%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.5%Spray accuracy
72.9%Counter-strafing
10.2°Preaim
608msReaction time
30.5%T opening success
58.3%CT opening success
0.58Enemies flashed / flash
9.7%Flash assists
10.06HE damage / grenade
8.84Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.4994% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.079%23 Aug →
mirage15–150.0923%16 Aug →
mirage8–10.0723%16 Aug →
ancient13–100.0513%16 Aug →
dust24–13-0.027%15 Aug →
ancient2–13-0.095%15 Aug →
mirage13–60.0710%15 Aug →
mirage5–13-0.0218%10 Aug →
dust28–130.0129%10 Aug →
ancient8–13-0.0016%4 Aug →
mirage9–13-0.0317%4 Aug →
dust216–130.0734%3 Aug →
dust213–30.0421%3 Aug →
dust211–130.0619%1 Aug →
mirage13–9-0.0427%1 Aug →
inferno12–30.0322%31 Jul →
mirage13–10.1417%31 Jul →
inferno16–140.0924%29 Jul →
mirage13–10-0.0223%24 Jul →
dust213–70.0815%24 Jul →
mirage8–130.0516%18 Jul →
dust213–70.0621%18 Jul →
cache10–13-0.0122%18 Jul →
mirage13–100.0824%18 Jul →
inferno13–70.1013%18 Jul →
mirage15–150.0318%16 Jul →
dust26–13-0.0215%16 Jul →
dust29–13-0.0118%15 Jul →
dust210–130.0126%15 Jul →
mirage13–10.0433%15 Jul →
ancient10–130.0425%14 Jul →
mirage13–60.0418%14 Jul →
cache16–140.0413%13 Jul →
dust213–6-0.0328%13 Jul →
cache10–130.0221%13 Jul →
ancient13–80.0616%13 Jul →
mirage13–60.0717%13 Jul →
dust25–130.0121%13 Jul →
mirage9–130.0516%12 Jul →
mirage13–20.2226%21 May →
inferno10–13-0.0134%21 May →
ancient12–120.1230%21 May →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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