Autumn!

Autumn! — CS2 Stats

76561198018602357[U:1:58336629]Steam profile ↗✓ No bans

1,337Tracked matches48%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
FaceitLevel 8 · 1,562 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGAutumn!FACEITLevel 8 · 1,562 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning78
Utility44

0–100 skill scores via Leetify.

Recent form

COLD47–45–8Last 10047%Win rateWLTLLWWLLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +1.7pp headshot accuracy · +128ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 23%
  • Avg reaction 563ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 24%
  • Avg reaction 638ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 574ms

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 (+2.7 against its own average).

Aim8.2
Utility4.4
Positioning7.8
Opening Duels6.6
Clutch1.8

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

m0NESY

Plays most like m0NESY 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.2
Positioning7.8
Utility4.4
Mechanics7.9
Opening Duels6.4
Win Impact4.4

Composite 6.6/10 (Solid), 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 rating0.04−0.03
first ⅓ avg 0.06 → last ⅓ avg 0.04
Reaction time555ms−35ms
first ⅓ avg 590ms → last ⅓ avg 555ms
Headshot accuracy23.6%−1.3%
first ⅓ avg 24.9% → last ⅓ avg 23.6%

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

0.27Best match rating · 13–0 · mirage, 12 Aug →
55%Best headshot accuracy · 2–13 · dust2, 9 Aug →
375msFastest reaction time · 13–7 · ancient, 25 Aug →
13–0Biggest win · nuke, 15 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 62% over 21infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%0.04
mirageA2113–862%0.05
ancientC145–936%0.05
cacheB105–550%0.05
infernoD92–722%0.05
nukeC94–544%0.06
vertigo—42–250%0.06
office—31–233%0.10
anubis—21–150%0.02
train—10–10%0.08
overpass—10–10%0.02
boulder—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

131Matches
56%Win rate
1.54Avg K/D
103.3ADR
50%Headshot %

Clutches & streaks

29%1v1 clutch win
49%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient3155%1.6422.4
Inferno2854%1.6221.6
Mirage2564%1.5121.0
Dust21753%1.3320.6
Nuke520%1.3022.4
Anubis475%0.8814.3
Cache450%1.3324.3
Overpass10%1.2239.0

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.

23.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
30.8%Spray accuracy
85.6%Counter-strafing
7.8°Preaim
532msReaction time
58.2%T opening success
53.3%CT opening success
0.61Enemies flashed / flash
7.4%Flash assists
8.19HE damage / grenade
3.91Flashes / 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 3.9111 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–100.2135%7 Oct →
train6–130.0818%7 Oct →
inferno12–120.0025%7 Oct →
dust26–130.0214%6 Oct →
nuke4–130.1524%6 Oct →
anubis2–00.0420%6 Oct →
mirage13–50.0831%6 Oct →
dust25–130.0528%6 Oct →
dust26–130.0119%5 Oct →
mirage11–130.0128%5 Oct →
nuke8–130.0327%5 Oct →
cache2–13-0.0121%2 Oct →
inferno4–130.0740%19 Sept →
mirage13–60.1033%16 Sept →
nuke11–13-0.0420%13 Sept →
dust213–90.0919%12 Sept →
ancient10–130.0617%12 Sept →
dust26–130.0313%9 Sept →
nuke13–11-0.0217%8 Sept →
mirage16–140.0118%7 Sept →
mirage13–11-0.0010%4 Sept →
mirage13–110.0410%4 Sept →
dust213–90.0332%3 Sept →
dust216–14-0.0220%3 Sept →
nuke8–130.1025%2 Sept →
mirage16–140.0326%1 Sept →
dust216–19-0.0223%1 Sept →
ancient13–50.0335%1 Sept →
cache13–7-0.0328%31 Aug →
mirage11–130.0120%31 Aug →
ancient8–130.0236%31 Aug →
cache4–13-0.0431%30 Aug →
ancient9–130.0616%30 Aug →
inferno10–130.0420%30 Aug →
ancient13–40.1717%30 Aug →
cache13–110.0117%29 Aug →
dust25–13-0.0222%29 Aug →
anubis4–13-0.0117%29 Aug →
office12–120.0826%29 Aug →
ancient8–130.1019%29 Aug →
dust213–50.0524%28 Aug →
dust213–70.0231%28 Aug →
dust24–13-0.0432%28 Aug →
ancient13–6-0.0322%28 Aug →
cache7–130.0626%28 Aug →
inferno9–130.0728%27 Aug →
mirage3–130.0325%26 Aug →
ancient13–70.0426%25 Aug →
cache19–170.1119%24 Aug →
dust211–130.1319%23 Aug →
dust27–130.0221%23 Aug →
ancient8–130.0326%23 Aug →
mirage13–100.0418%22 Aug →
inferno13–70.0622%22 Aug →
mirage13–7-0.0011%20 Aug →
mirage3–130.0016%20 Aug →
inferno7–130.0625%20 Aug →
inferno12–120.0238%19 Aug →
dust213–50.0313%18 Aug →
ancient4–13-0.0911%18 Aug →
cache12–120.0422%15 Aug →
mirage13–90.0127%15 Aug →
mirage12–120.1225%15 Aug →
nuke13–00.1222%15 Aug →
vertigo13–110.0721%13 Aug →
ancient0–00.000%13 Aug →
office13–60.1830%12 Aug →
mirage13–00.2728%12 Aug →
dust28–130.0327%12 Aug →
ancient11–130.0326%11 Aug →
mirage13–20.0927%10 Aug →
dust22–130.0855%9 Aug →
dust212–120.1332%9 Aug →
overpass5–130.0232%7 Aug →
vertigo6–130.0121%7 Aug →
boulder13–80.0023%7 Aug →
inferno13–100.1126%7 Aug →
dust213–6-0.0823%7 Aug →
dust213–10-0.0120%6 Aug →
vertigo13–40.0925%6 Aug →
dust213–70.0733%6 Aug →
mirage16–14-0.0023%6 Aug →
mirage11–130.0122%4 Aug →
dust213–00.1537%3 Aug →
cache12–120.1025%3 Aug →
mirage6–130.0116%3 Aug →
nuke3–130.0215%3 Aug →
ancient13–70.1727%2 Aug →
ancient5–130.0616%2 Aug →
dust213–70.2113%2 Aug →
vertigo6–130.0520%2 Aug →
mirage5–130.0018%2 Aug →
cache13–50.0215%2 Aug →
mirage13–70.1220%2 Aug →
nuke13–90.1217%31 Jul →
dust213–10-0.0024%30 Jul →
nuke13–70.0224%29 Jul →
dust213–30.1519%29 Jul →
office6–130.0233%29 Jul →
inferno3–130.0639%29 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 →

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