2012 MAZDA 3 2.0 SKYACTIV 6MT

2012 MAZDA 3 2.0 SKYACTIV 6MT — CS2 Stats

76561198138226711[U:1:177960983]Steam profile ↗

972Tracked matches45%Win rate2020Tracked since
CSDB Rating4.7 DevelopingPassive Rifler
Premier CS Rating22,818Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#8027 of 32866 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GG2012 MAZDA 3 2.0 SKYACTIV…FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,818 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning37
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateLLWLWLWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression2.9
Utility3.8
Positioning3.7
Opening Duels0.0
Clutch3.2

Strong CT-side openerLimited 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.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 34% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.4
Positioning3.7
Utility3.8
Mechanics6.6
Opening Duels0.5
Win Impact3.3

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time612ms−5ms
first ⅓ avg 617ms → last ⅓ avg 612ms
Headshot accuracy18.7%−2.8%
first ⅓ avg 21.5% → last ⅓ avg 18.7%

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

0.14Best rating — ancient 13–10
130Biggest win — mirage
6Longest win streak
L2Current streak
118In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 12nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB35191654%0.01
dust2B24131154%-0.01
nukeD123925%-0.03
ancientS128467%0.01
infernoB115645%0.01
anubis220100%-0.01
overpass21150%-0.01
cache220100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

551Matches
52%Win rate
1.09Avg K/D
81.7ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2857%1.2118.4
Dust21741%1.1417.0
Inferno1362%1.1816.9
Ancient1145%0.9916.9
Nuke683%0.9516.7
Anubis617%0.7712.5
Cache4100%1.1616.0
Train333%0.9312.7

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.

19.1%Headshot accuracy
30.3%Accuracy (enemy spotted)
40.1%Spray accuracy
79.6%Counter-strafing
10.0°Preaim
613msReaction time
18.4%T opening success
34.3%CT opening success
0.35Enemies flashed / flash
3.9%Flash assists
7.82HE damage / grenade
4.76Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3475 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 18.4042% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust20–13-0.080%10 Jun
nuke5–13-0.0613%10 Jun
anubis13–10-0.0120%10 Jun
mirage6–13-0.0314%10 Jun
dust213–8-0.0431%9 Jun
mirage9–130.0117%8 Jun
dust213–40.0523%8 Jun
mirage13–70.008%8 Jun
mirage13–40.026%8 Jun
dust214–160.0028%7 Jun
inferno13–40.0229%7 Jun
nuke13–3-0.0222%7 Jun
ancient13–11-0.0220%6 Jun
dust214–16-0.0430%5 Jun
ancient14–16-0.0613%5 Jun
mirage13–90.0622%5 Jun
mirage13–00.0424%4 Jun
dust26–13-0.0420%4 Jun
inferno10–13-0.0020%3 Jun
mirage0–13-0.0216%3 Jun
overpass9–13-0.0621%3 Jun
mirage9–13-0.0413%1 Jun
inferno0–13-0.0727%1 Jun
inferno13–80.0313%1 Jun
dust28–13-0.0232%31 May
mirage13–30.0223%31 May
dust213–90.0214%31 May
nuke15–15-0.0618%29 May
inferno8–13-0.036%29 May
inferno8–130.0023%29 May
mirage8–13-0.0517%29 May
mirage13–110.0225%29 May
mirage10–130.0213%28 May
dust213–9-0.0323%28 May
mirage13–4-0.0122%28 May
mirage11–13-0.0515%28 May
dust211–13-0.0517%28 May
dust213–110.0222%27 May
ancient13–30.0818%27 May
mirage13–110.0620%27 May
ancient13–100.1419%27 May
mirage13–70.0425%27 May
mirage13–100.0144%27 May
mirage5–13-0.0136%26 May
dust213–50.0220%24 May
ancient13–20.0323%24 May
nuke8–13-0.0326%22 May
mirage3–13-0.0519%22 May
mirage13–110.0015%21 May
ancient16–130.0320%20 May
mirage13–40.0824%18 May
dust213–100.0633%15 May
inferno8–13-0.0124%14 May
dust28–13-0.0623%14 May
nuke9–130.0021%14 May
mirage13–50.0613%13 May
inferno13–40.1114%13 May
nuke13–7-0.0510%13 May
nuke8–13-0.0714%12 May
mirage13–11-0.0021%11 May
mirage11–13-0.0416%10 May
inferno13–110.0027%10 May
mirage12–160.0321%8 May
mirage13–110.0819%7 May
inferno13–110.0323%7 May
dust213–8-0.0238%6 May
mirage13–70.0016%6 May
nuke13–11-0.0126%5 May
mirage9–130.0516%4 May
nuke6–130.0529%4 May
cache13–50.0824%4 May
ancient13–80.0422%4 May
nuke2–13-0.0720%3 May
inferno14–160.0018%1 May
cache13–6-0.0119%1 May
dust22–130.0326%29 Apr
ancient13–60.0317%28 Apr
mirage6–13-0.0129%28 Apr
overpass13–100.0526%28 Apr
dust29–13-0.0223%27 Apr
ancient0–10-0.0524%27 Apr
nuke6–13-0.0524%27 Apr
anubis13–3-0.0016%26 Apr
dust213–8-0.0126%26 Apr
mirage13–100.0235%25 Apr
dust213–60.0525%24 Apr
ancient14–16-0.0116%24 Apr
mirage7–130.0218%23 Apr
mirage3–13-0.0811%23 Apr
dust22–13-0.0329%23 Apr
nuke10–130.0119%23 Apr
dust29–13-0.0014%23 Apr
ancient7–13-0.0730%21 Apr
dust213–70.0115%21 Apr
mirage13–30.0518%21 Apr
dust213–10-0.0318%21 Apr
mirage13–110.0021%21 Apr
ancient13–5-0.0313%21 Apr
mirage10–130.0726%20 Apr
dust213–80.0015%20 Apr

Match data via Leetify.

Milestones

500 Matches
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