2009 Honda Fit

2009 Honda Fit — CS2 Stats

US76561198070848372[U:1:110582644]Steam profile ↗✓ No bans

296Tracked matches70%Win rate2023Tracked since
CSDB Rating5.1 Developing
Premier CS Rating6,121Light Blue band · top ~73.4% of ranked players (population est.)
CSDB Leaderboard#34667 of 45789 tracked
Ladder ranks via Leetify

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CSDB.GG2009 Honda FitPREMIER6,121 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning52
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY583210Last 10058%Win rateWLLLWWWWLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim5.4
Aggression7.3
Utility5.4
Positioning5.2
Opening Duels3.6

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

b1t

Plays most like b1t 87% playstyle similarity

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

Where you differ: 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. 612ms 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

Aim5.4
Positioning5.2
Utility5.4
Mechanics5.5
Opening Duels3.6
Win Impact10.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time610ms−31ms
first ⅓ avg 640ms → last ⅓ avg 610ms
Headshot accuracy16.2%−0.5%
first ⅓ avg 16.7% → last ⅓ avg 16.2%

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

0.22Best rating — ancient 13–3
130Biggest win — inferno
5Longest win streak
77In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A31191261%0.02
cacheA2112957%0.02
mirageB136746%0.03
nukeS139469%0.00
infernoA95456%0.03
ancientS54180%0.08
vertigo32167%0.04
anubis3030%0.03
train1010%-0.01
office110100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Mirage 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.

15.8%Headshot accuracy
33.4%Accuracy (enemy spotted)
31.0%Spray accuracy
74.8%Counter-strafing
9.8°Preaim
612msReaction time
38.1%T opening success
50.8%CT opening success
0.63Enemies flashed / flash
3.9%Flash assists
4.87HE damage / grenade
12.16Flashes / 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 38.0759% — below the 40% mark we flag

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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0222%4 Aug
mirage9–13-0.0315%3 Jul
ancient11–130.0213%1 Jul
cache10–13-0.0417%25 Jun
dust213–110.0116%25 Jun
nuke13–10-0.012%24 Jun
ancient13–70.0813%24 Jun
mirage13–8-0.0110%23 Jun
inferno5–13-0.0111%23 Jun
dust213–50.0421%23 Jun
dust212–12-0.0315%22 Jun
nuke13–110.0816%22 Jun
dust26–13-0.0526%21 Jun
cache13–4-0.0017%21 Jun
cache11–13-0.0323%21 Jun
dust213–60.0613%20 Jun
cache0–11-0.0238%14 Jun
inferno13–8-0.049%14 Jun
dust213–50.0714%10 Jun
nuke13–10-0.0210%4 Jun
cache12–120.0417%4 Jun
dust213–40.0433%4 Jun
cache12–120.0519%3 Jun
dust213–30.1225%3 Jun
ancient13–30.2213%2 Jun
dust28–30.026%2 Jun
cache13–110.049%2 Jun
cache11–130.0010%1 Jun
dust213–50.0716%1 Jun
nuke7–1-0.0331%1 Jun
dust213–30.1017%1 Jun
cache8–130.0314%31 May
inferno13–00.053%31 May
vertigo13–70.016%31 May
nuke13–10-0.0623%31 May
cache13–80.0111%31 May
dust213–70.0612%30 May
cache12–120.0113%29 May
dust213–100.0018%29 May
dust213–10-0.0214%28 May
cache13–40.005%28 May
cache7–13-0.027%26 May
dust213–70.0819%26 May
cache13–10-0.0114%25 May
nuke11–130.0913%25 May
dust212–120.0117%23 May
mirage9–130.0137%23 May
dust213–70.0520%22 May
cache13–60.0310%21 May
mirage12–120.009%21 May
nuke12–120.0418%20 May
cache13–100.0312%19 May
dust210–13-0.0415%19 May
inferno13–60.1123%18 May
nuke9–130.0016%18 May
cache13–30.0418%14 May
dust213–80.0114%14 May
cache13–50.066%13 May
anubis6–130.0410%13 May
dust212–12-0.0514%12 May
mirage13–80.0616%11 May
nuke13–7-0.0718%11 May
mirage11–13-0.087%9 May
dust213–90.0222%9 May
cache13–110.1326%9 May
dust26–13-0.027%9 May
dust21–13-0.0411%8 May
cache13–90.0220%8 May
nuke13–2-0.0114%7 May
cache13–40.1113%7 May
mirage13–9-0.0214%22 Apr
dust211–13-0.0117%22 Apr
train2–13-0.0116%20 Apr
mirage9–130.0914%20 Apr
dust213–100.0821%19 Apr
nuke11–13-0.0416%19 Apr
mirage8–130.0522%18 Apr
mirage7–13-0.017%18 Apr
nuke11–90.049%18 Apr
dust213–11-0.029%18 Apr
dust25–13-0.047%17 Apr
vertigo6–130.0422%17 Apr
dust213–70.0619%16 Apr
inferno12–120.0223%16 Apr
anubis10–130.0310%15 Apr
ancient13–30.0612%15 Apr
mirage13–00.1753%15 Apr
mirage13–80.0613%14 Apr
anubis8–130.0313%13 Apr
inferno13–60.0421%13 Apr
mirage5–00.1515%13 Apr
dust25–13-0.0415%13 Apr
inferno10–130.057%11 Apr
dust212–120.0718%11 Apr
ancient13–110.0113%10 Apr
nuke13–100.048%10 Apr
office13–50.1320%10 Apr
inferno8–130.0312%10 Apr
vertigo13–90.0724%9 Apr
dust22–13-0.1029%9 Apr

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 →