HeatedFall

HeatedFall — CS2 Stats

CA76561198189606315[U:1:229340587]Steam profile ↗✓ No bans

890Tracked matches56%Win rate2020Tracked since
2,117Hours in CS2Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 890
−7.4ppWin rate · 63.0% → 55.6%

Rating over time

51Days played since 2024-12-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches11——
Win rate55%——
K/D0.60——
Headshot %60%——

Measured 4 Oct 2026 → 4 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate38.6%42.7%43.8%5.2% short
Shot accuracy17.1%11.2%12.0%above
Kill/death ratio0.880.991.020.13 short
Match win rate45.2%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHeatedFallFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning39
Utility16

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateLLWLTLTLLW

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −8.1pp headshot accuracy · −98ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 597ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 627ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 27%
  • Avg reaction 675ms

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 (+2.3 against its own average).

Aim5.8
Utility1.6
Positioning3.9
Opening Duels0.7
Clutch0.0

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

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: positioning profile, 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

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

Reaction time. 672ms 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

Aim5.8
Positioning3.9
Utility1.6
Mechanics7.7
Opening Duels0.8
Win Impact6.9

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time684ms−20ms
first ⅓ avg 704ms → last ⅓ avg 684ms
Headshot accuracy23.9%+8.0%
first ⅓ avg 15.8% → last ⅓ avg 23.9%

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

0.06Best match rating · 13–2 · train, 7 Jan →
100%Best headshot accuracy · 3–0 · shelter, 12 Jul →
500msFastest reaction time · 13–9 · ancient, 18 Feb →
13–0Biggest win · cache, 17 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

wardenBest map · 100% over 5mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB147–750%-0.03
officeC125–742%-0.03
ancientB126–650%-0.05
infernoB84–450%-0.08
mirageD81–713%-0.04
vertigoB63–350%-0.06
anubisB63–350%-0.05
overpassD62–433%-0.07
wardenS55–0100%-0.01
train—43–175%-0.01
italy—44–0100%-0.04
nuke—31–233%-0.05
dust2—31–233%-0.06
shelter—21–150%-0.05
alpine—22–0100%-0.07
grail—21–150%-0.08
fachwerk—11–0100%-0.05
stronghold—11–0100%-0.04
agency—11–0100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,247Lifetime kills
0.88K/D
3,331Matches
45.2%Match win rate · Top 50% of Level 4 players
38.6%Headshot %
17.1%Shot accuracy · Top 25% of Level 4 players
5,961MVPs
1,309Hours (in match)
4,672Bombs planted
658Bombs defused

Most-used weapons

Lifetime map wins

6,712inferno
2,084dust2
1,534vertigo
1,038cbble
1,025train
793nuke
377office
117aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

171Matches
47%Win rate
0.67Avg K/D
52.3ADR
42%Headshot %

Clutches & streaks

14%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2367%0.8211.3
Ancient367%0.265.3
Nuke20%0.468.0
Anubis250%0.6912.5
Overpass250%0.4210.0

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.

22.2%Headshot accuracy
29.4%Accuracy (enemy spotted)
29.5%Spray accuracy
84.8%Counter-strafing
9.8°Preaim
672msReaction time
26.7%T opening success
36.1%CT opening success
0.22Enemies flashed / flash
5.8%Flash assists
8.48HE damage / grenade
0.57Flashes / 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 0.2188 — 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 26.6722% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0429%31 Oct →
inferno4–13-0.0922%31 Oct →
inferno13–11-0.0425%26 Oct →
shelter4–13-0.0523%18 Oct →
mirage12–12-0.0419%7 Sept →
mirage8–13-0.0430%6 Sept →
cache12–12-0.0118%6 Sept →
inferno1–13-0.1220%6 Sept →
cache5–13-0.0220%6 Sept →
train13–8-0.0526%5 Sept →
vertigo13–11-0.0620%5 Sept →
cache13–9-0.0017%1 Sept →
vertigo13–8-0.0133%17 Jul →
anubis4–13-0.0917%17 Jul →
fachwerk13–11-0.0539%12 Jul →
shelter3–0-0.04100%12 Jul →
cache12–12-0.1019%31 May →
office4–8-0.0933%31 May →
warden13–5-0.0116%29 May →
cache13–30.0218%29 May →
italy13–7-0.0513%17 May →
cache13–9-0.0410%17 May →
office7–13-0.1211%17 May →
cache13–0-0.0127%17 May →
cache13–2-0.0521%10 May →
cache13–50.0130%10 May →
cache8–13-0.0510%2 May →
cache11–130.0224%2 May →
office11–13-0.0420%2 May →
office13–5-0.0127%2 May →
cache10–13-0.0621%30 Apr →
cache13–8-0.056%30 Apr →
stronghold10–8-0.0423%25 Apr →
warden13–8-0.0525%25 Apr →
office2–8-0.1119%25 Apr →
italy13–8-0.0121%25 Apr →
italy13–6-0.0423%18 Apr →
office13–100.0119%18 Apr →
alpine13–6-0.0633%12 Apr →
warden13–10-0.0028%12 Apr →
office10–130.0141%11 Apr →
overpass10–13-0.064%26 Mar →
warden13–10.0420%15 Mar →
alpine13–9-0.0722%15 Mar →
warden13–4-0.039%15 Mar →
office13–70.0026%2 Mar →
ancient12–12-0.0222%2 Mar →
anubis13–11-0.0524%2 Feb →
agency13–60.0029%5 Jan →
inferno13–5-0.0221%5 Jan →
ancient13–11-0.1014%12 Dec →
ancient5–13-0.0814%29 Nov →
vertigo7–13-0.0813%22 Nov →
ancient2–00.020%22 Nov →
mirage7–13-0.0617%13 Nov →
mirage13–9-0.0215%8 Nov →
office13–8-0.0317%6 Nov →
office11–130.0126%2 Nov →
vertigo7–13-0.0614%10 Oct →
office7–13-0.0511%25 Sept →
inferno4–13-0.1018%25 Sept →
overpass5–13-0.0814%26 Aug →
grail13–5-0.0927%26 Aug →
vertigo13–7-0.0621%26 Aug →
italy13–1-0.0713%26 Aug →
anubis6–13-0.0010%26 Aug →
inferno13–10-0.0325%20 Aug →
anubis13–6-0.058%20 Aug →
overpass17–19-0.0724%10 Aug →
ancient13–10-0.0713%10 Aug →
nuke3–13-0.1212%9 Aug →
overpass13–7-0.0717%9 Aug →
ancient13–16-0.0613%9 Aug →
mirage6–13-0.0911%3 Aug →
vertigo10–13-0.0718%2 Aug →
office13–50.0120%2 Aug →
ancient13–9-0.046%10 May →
grail2–13-0.0712%10 May →
inferno13–8-0.0415%1 Apr →
ancient11–13-0.0719%1 Apr →
train13–10-0.0922%1 Apr →
anubis16–13-0.089%22 Mar →
ancient13–90.0134%21 Mar →
ancient4–13-0.0818%20 Mar →
dust213–20.0112%18 Mar →
nuke11–13-0.0420%18 Mar →
dust218–22-0.0723%18 Mar →
mirage12–12-0.0413%18 Feb →
ancient13–9-0.0224%18 Feb →
mirage10–130.0216%15 Feb →
dust25–13-0.100%14 Feb →
anubis9–13-0.0514%14 Feb →
overpass13–7-0.0216%14 Feb →
ancient10–13-0.073%22 Jan →
train13–20.0616%7 Jan →
nuke13–110.0219%7 Jan →
inferno6–9-0.2016%7 Jan →
mirage5–13-0.0229%7 Jan →
overpass11–13-0.127%12 Dec →
train9–130.0326%12 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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