HEATER

HEATER — CS2 Stats

OM76561199192546154[U:1:1232280426]Steam profile ↗✓ No bans

1,157Tracked matches27%Win rate2025Tracked since
814Hours in CS9Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
Premier CS Rating6,392Light Blue band · top ~72.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,392 +758 28 Aug – 10 Nov · 30 days played
5,6348,346peak 8,34628 Aug10 Nov
8,764Peak Premier in tracked matches
44Days played since 2026-08-18

Premier CS Rating

  • 1,954 below peak (8,346)
  • -791 over 30 days · declining
  • Next: Blue band at 10,000 — 3,608 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches11——
Win rate55%——
K/D0.77——
Headshot %54%——

Measured 5 Nov 2026 → 14 Nov 2026; no observation near 14 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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate43.0%43.8%44.8%1.8% short
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio0.791.021.030.24 short
Match win rate45.5%44.7%45.2%meets

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHEATERFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER6,392 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim51
Positioning51
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateLWWWLWLLLL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +1.9pp headshot accuracy · +49ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 641ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

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 (+2.5 against its own average).

Aim5.1
Utility1.8
Positioning5.1
Opening Duels3.5
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

jL

Plays most like jL 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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.

Reaction time. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim5.1
Positioning5.1
Utility1.8
Mechanics3.6
Opening Duels3.7
Win Impact0.0

Composite 3.4/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time582ms−28ms
first ⅓ avg 611ms → last ⅓ avg 582ms
Headshot accuracy17.8%−0.2%
first ⅓ avg 18.0% → last ⅓ avg 17.8%

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

0.17Best match rating · 8–8 · inferno, 18 Oct →
53%Best headshot accuracy · 1–13 · train, 20 Oct →
406msFastest reaction time · 13–4 · cache, 19 Oct →
13–1Biggest win · cache, 11 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 57% over 7anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC259–1636%-0.03
dust2B168–850%0.01
mirageB168–850%-0.01
nukeC125–742%0.03
anubisD112–918%-0.01
cacheD72–529%-0.02
ancientA74–357%0.00
office—31–233%-0.04
train—21–150%-0.03
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,266Lifetime kills
0.79K/D
1,368Matches
45.5%Match win rate · Top 50% of Level 5 players
43.0%Headshot %
0.0%Shot accuracy
2,853MVPs
445Hours (in match)
1,286Bombs planted
348Bombs defused

Most-used weapons

Lifetime map wins

1,962inferno
1,611dust2
1,562nuke
488train
399vertigo
32office
9ar_shoots
3ar_baggage

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

Faceit stats

Combat

43Matches
60%Win rate
0.84Avg K/D
58.5ADR
40%Headshot %

Clutches & streaks

17%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1258%1.1312.5
Mirage875%0.619.4
Nuke7100%0.628.4
Cache650%1.0014.2
Dust2425%0.8613.3
Anubis367%0.7912.7
Ancient30%0.497.0

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.

17.1%Headshot accuracy
30.1%Accuracy (enemy spotted)
33.7%Spray accuracy
66.0%Counter-strafing
9.3°Preaim
579msReaction time
49.1%T opening success
40.4%CT opening success
0.38Enemies flashed / flash
1.6%Flash assists
4.53HE damage / grenade
2.14Flashes / 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 0.3803 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0216%11 Nov →
inferno13–8-0.0128%11 Nov →
cache13–10.0229%11 Nov →
dust213–6-0.0117%10 Nov →
dust211–13-0.0018%8 Nov →
dust213–20.1617%8 Nov →
inferno3–13-0.0913%7 Nov →
inferno5–13-0.0617%7 Nov →
cache4–13-0.0115%7 Nov →
dust23–13-0.0713%4 Nov →
ancient9–130.004%4 Nov →
inferno3–9-0.1332%3 Nov →
office1–6-0.090%3 Nov →
nuke7–13-0.0316%2 Nov →
nuke9–40.1028%28 Oct →
cache3–13-0.0421%26 Oct →
inferno9–13-0.0514%25 Oct →
ancient1–13-0.0613%23 Oct →
dust25–13-0.0115%23 Oct →
mirage1–13-0.0621%23 Oct →
nuke13–50.0828%23 Oct →
cache13–160.0218%22 Oct →
mirage13–9-0.0513%21 Oct →
anubis11–130.0618%21 Oct →
inferno13–40.042%21 Oct →
nuke5–130.0231%20 Oct →
train1–13-0.0153%20 Oct →
dust22–13-0.070%20 Oct →
ancient13–16-0.0320%20 Oct →
inferno5–13-0.0319%20 Oct →
anubis13–160.026%19 Oct →
mirage13–80.0317%19 Oct →
nuke13–11-0.0217%19 Oct →
anubis11–13-0.0213%19 Oct →
cache13–4-0.0117%19 Oct →
nuke10–30.0420%19 Oct →
anubis13–4-0.0122%19 Oct →
nuke4–13-0.0326%18 Oct →
inferno7–9-0.0614%18 Oct →
nuke9–130.0926%18 Oct →
inferno8–80.1716%18 Oct →
anubis7–13-0.0141%18 Oct →
cache10–13-0.0312%18 Oct →
ancient13–30.0130%17 Oct →
nuke5–13-0.0220%17 Oct →
mirage13–70.0624%17 Oct →
anubis5–13-0.0216%17 Oct →
dust28–130.0424%17 Oct →
inferno13–6-0.0515%17 Oct →
ancient13–110.0523%16 Oct →
mirage13–70.0625%16 Oct →
mirage13–2-0.0630%16 Oct →
mirage6–13-0.0412%16 Oct →
dust213–70.0219%16 Oct →
ancient13–60.0016%15 Oct →
inferno1–10-0.0818%9 Oct →
office8–13-0.0011%8 Oct →
train13–7-0.0627%7 Oct →
anubis7–13-0.0718%6 Oct →
dust213–80.0315%29 Sept →
mirage9–130.0116%29 Sept →
dust213–110.0416%28 Sept →
dust26–13-0.0312%28 Sept →
nuke11–130.1116%27 Sept →
inferno8–8-0.0810%26 Sept →
dust213–100.0217%26 Sept →
dust213–80.0914%26 Sept →
cache11–13-0.085%22 Sept →
dust22–130.1624%16 Sept →
inferno9–20.0813%15 Sept →
inferno6–13-0.0927%15 Sept →
inferno5–80.1326%15 Sept →
office13–9-0.0425%14 Sept →
anubis15–15-0.0016%14 Sept →
anubis13–9-0.0110%9 Sept →
inferno5–9-0.2218%8 Sept →
mirage13–20.0512%28 Aug →
mirage13–80.0216%27 Aug →
anubis9–130.0014%26 Aug →
nuke11–40.0019%26 Aug →
dust213–9-0.0428%26 Aug →
inferno13–11-0.0612%25 Aug →
mirage9–130.0015%25 Aug →
inferno9–5-0.1224%24 Aug →
ancient13–50.0419%23 Aug →
nuke14–16-0.0317%23 Aug →
inferno13–70.0317%23 Aug →
inferno5–130.0344%23 Aug →
mirage6–13-0.103%22 Aug →
inferno12–160.0122%22 Aug →
mirage8–13-0.0021%22 Aug →
inferno9–130.0115%21 Aug →
dust21–13-0.100%21 Aug →
vertigo13–40.0814%21 Aug →
mirage2–13-0.0933%21 Aug →
inferno13–8-0.0315%21 Aug →
inferno7–13-0.0711%20 Aug →
mirage6–13-0.0723%19 Aug →
inferno9–7-0.0718%19 Aug →
mirage13–9-0.0120%18 Aug →

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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