MF | Chicken Strike

MF | Chicken Strike — CS2 Stats

76561199117543200[U:1:1157277472]Steam profile ↗✓ No bans

2,246Tracked matches60%Win rate2021Tracked since
CSDB Rating3.4 Learning
Premier CS Rating11,006Blue band · top ~49.6% of ranked players (population est.)
CSDB Leaderboard#9212 of 12782 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGMF | Chicken StrikeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,006 · Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning44
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY59392Last 10059%Win rateWLLWWWWWLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim2.7
Aggression5.4
Utility0.8
Positioning4.4
Opening Duels2.3

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 70% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 56% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 785ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim2.7
Positioning4.4
Utility0.8
Mechanics4.1
Opening Duels3.3
Win Impact8.3

Composite 3.4/10 (Learning), 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 -0.02 → last ⅓ avg -0.03
Reaction time781ms+21ms
first ⅓ avg 760ms → last ⅓ avg 781ms
Headshot accuracy14.7%−1.4%
first ⅓ avg 16.1% → last ⅓ avg 14.7%

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.

Highlights

0.08Best rating — anubis 13–5
132Biggest win — cache
10Longest win streak
147In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 81% over 16ancientWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB30161453%-0.04
ancientC1981142%-0.03
cacheS1711665%-0.02
anubisS1613381%-0.02
dust2B115645%-0.03
nuke440100%-0.01
inferno32167%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 19). 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.

14.9%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.7%Spray accuracy
68.4%Counter-strafing
11.7°Preaim
785msReaction time
22.2%T opening success
56.3%CT opening success
0.27Enemies flashed / flash
2.2%Flash assists
1.83HE damage / grenade
0.64Flashes / 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 14.9478% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 784.7969ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.2722 — 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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–80.0018%15 Aug
ancient10–13-0.0611%14 Aug
mirage6–13-0.099%14 Aug
ancient13–8-0.0821%14 Aug
cache13–9-0.0229%14 Aug
cache16–12-0.0324%10 Aug
anubis13–10-0.0410%10 Aug
mirage13–10-0.0113%10 Aug
cache9–13-0.075%7 Aug
dust29–13-0.0117%7 Aug
mirage13–5-0.0411%7 Aug
ancient13–110.0510%7 Aug
anubis13–11-0.0541%7 Aug
mirage13–9-0.047%7 Aug
mirage16–14-0.0420%7 Aug
anubis13–90.0017%7 Aug
ancient13–9-0.0210%7 Aug
mirage1–13-0.0224%7 Aug
dust28–13-0.0413%1 Aug
mirage10–13-0.079%31 Jul
ancient11–13-0.0315%31 Jul
cache13–50.0718%31 Jul
cache9–13-0.0214%31 Jul
ancient13–9-0.0715%31 Jul
mirage13–4-0.079%31 Jul
mirage5–13-0.098%29 Jul
ancient13–40.0311%29 Jul
mirage11–13-0.086%29 Jul
anubis16–13-0.0213%28 Jul
ancient11–13-0.0217%27 Jul
anubis13–7-0.0416%27 Jul
mirage11–13-0.0414%27 Jul
cache8–13-0.0813%27 Jul
ancient13–11-0.0311%26 Jul
mirage13–10-0.049%26 Jul
ancient16–14-0.036%26 Jul
anubis13–10-0.078%26 Jul
cache16–140.0319%26 Jul
cache13–7-0.0212%26 Jul
ancient5–13-0.108%26 Jul
mirage1–13-0.0318%26 Jul
anubis11–13-0.069%26 Jul
dust213–9-0.0019%26 Jul
ancient8–13-0.109%26 Jul
nuke16–140.0515%25 Jul
anubis15–15-0.0114%24 Jul
cache6–13-0.0312%24 Jul
mirage13–5-0.0219%24 Jul
mirage8–13-0.0216%24 Jul
cache13–8-0.0115%24 Jul
anubis13–9-0.027%24 Jul
anubis14–16-0.0417%24 Jul
mirage10–130.0022%24 Jul
mirage1–13-0.0925%23 Jul
ancient8–130.0217%21 Jul
mirage13–3-0.0218%21 Jul
cache13–9-0.069%21 Jul
mirage13–5-0.094%21 Jul
inferno8–130.0022%20 Jul
ancient4–130.028%19 Jul
cache8–13-0.0115%19 Jul
nuke13–4-0.0310%19 Jul
ancient6–13-0.0215%19 Jul
dust213–9-0.0421%19 Jul
mirage0–13-0.040%18 Jul
nuke13–11-0.0632%18 Jul
mirage13–8-0.0516%18 Jul
cache13–20.0517%18 Jul
dust23–13-0.107%18 Jul
ancient7–13-0.0222%18 Jul
ancient10–13-0.0514%18 Jul
dust20–13-0.0225%18 Jul
dust215–15-0.0318%17 Jul
dust213–2-0.0033%17 Jul
cache8–13-0.0528%16 Jul
cache13–9-0.0610%16 Jul
anubis13–110.0114%16 Jul
ancient13–110.0122%16 Jul
mirage7–13-0.0223%16 Jul
anubis13–10-0.0214%16 Jul
mirage16–12-0.0120%16 Jul
mirage14–16-0.034%16 Jul
dust26–13-0.0022%15 Jul
mirage13–100.0217%15 Jul
ancient9–13-0.0518%15 Jul
cache13–9-0.0819%15 Jul
anubis13–11-0.0412%15 Jul
mirage13–9-0.0422%14 Jul
mirage13–2-0.0511%14 Jul
mirage10–13-0.0116%14 Jul
dust213–7-0.0428%14 Jul
inferno13–11-0.0615%14 Jul
anubis13–110.019%14 Jul
anubis13–50.0811%14 Jul
inferno13–9-0.0110%13 Jul
cache13–110.0211%13 Jul
anubis13–8-0.044%13 Jul
mirage13–7-0.068%13 Jul
dust213–9-0.0014%13 Jul
mirage13–80.0217%12 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →