Holy smoke Iron

Holy smoke Iron — CS2 Stats

76561198144919969[U:1:184654241]Steam profile ↗✓ No bans

672Tracked matches44%Win rate2020Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating9,655Light Blue band · top ~56.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (2 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: 9,655 +1,781 12 Mar – 29 Oct · 30 days played
7,64310,556peak 10,55612 Mar29 Oct
10,675Peak Premier in tracked matches
48Days played since 2026-03-09

Premier CS Rating

  • 901 below peak (10,556)
  • +100 over 30 days · steady
  • Next: Blue band at 10,000 — 345 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGHoly smoke IronFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,655 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning47
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateWLLLWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −3.9pp headshot accuracy · −70ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 588ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 586ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 621ms

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 (+1.6 against its own average).

Aim5.0
Utility4.4
Positioning4.7
Opening Duels0.0
Clutch3.4

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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 629ms 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

Aim5.0
Positioning4.7
Utility4.4
Mechanics5.2
Opening Duels0.8
Win Impact3.1

Composite 3.8/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time621ms−69ms
first ⅓ avg 689ms → last ⅓ avg 621ms
Headshot accuracy12.0%−0.9%
first ⅓ avg 12.9% → last ⅓ avg 12.0%

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

0.14Best match rating · 13–7 · ancient, 16 Mar →
33%Best headshot accuracy · 7–13 · dust2, 23 Apr →
453msFastest reaction time · 3–13 · cache, 9 Oct →
13–1Biggest win · inferno, 10 Jun →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 43% over 23ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC2912–1741%-0.03
infernoC2310–1343%-0.02
dust2C166–1038%-0.02
nukeC135–838%-0.03
ancientD93–633%-0.03
anubis—41–325%-0.05
mirage—31–233%-0.02
overpass—22–0100%-0.01
train—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

208Matches
43%Win rate
1.05Avg K/D
77.9ADR
35%Headshot %

Clutches & streaks

37%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5446%1.0813.7
Dust23432%1.2213.9
Inferno2259%1.0513.9
Anubis2250%1.2916.9
Ancient1362%1.3916.8
Nuke1136%1.1816.0
Vertigo367%1.3519.7
Cache250%0.9013.5

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.

12.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
35.7%Spray accuracy
73.3%Counter-strafing
9.1°Preaim
629msReaction time
30.4%T opening success
36.3%CT opening success
0.51Enemies flashed / flash
3.3%Flash assists
6.38HE damage / grenade
9.14Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0642% — below the 15% mark we flag

    Aim Training →
  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 30.4334% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.069%29 Oct →
inferno10–13-0.0612%21 Oct →
anubis10–13-0.0910%20 Oct →
cache9–13-0.034%15 Oct →
train13–60.048%12 Oct →
cache3–13-0.1212%9 Oct →
mirage16–14-0.037%9 Oct →
inferno8–130.029%9 Oct →
cache13–100.0010%9 Oct →
inferno13–90.057%6 Oct →
cache11–13-0.086%5 Oct →
dust24–13-0.0215%4 Oct →
nuke11–13-0.0012%3 Oct →
cache13–11-0.019%27 Sept →
dust211–130.0531%25 Sept →
dust213–11-0.0323%23 Sept →
ancient8–13-0.042%20 Sept →
anubis8–13-0.0411%20 Sept →
cache13–3-0.006%20 Sept →
dust213–8-0.0611%15 Sept →
dust212–12-0.0313%15 Sept →
nuke3–9-0.196%15 Sept →
inferno9–13-0.0713%28 Jul →
overpass13–70.0123%10 Jun →
nuke13–5-0.0111%10 Jun →
inferno13–10.0515%10 Jun →
dust23–70.0616%7 Jun →
cache12–120.019%5 Jun →
cache9–130.0314%5 Jun →
cache10–13-0.117%3 Jun →
cache12–12-0.0528%3 Jun →
cache13–40.0117%3 Jun →
cache13–6-0.0511%3 Jun →
cache7–13-0.077%31 May →
cache12–120.0113%31 May →
nuke5–13-0.039%19 May →
cache1–13-0.0820%17 May →
cache13–40.0714%17 May →
cache13–80.0318%17 May →
cache2–13-0.090%17 May →
cache0–8-0.0420%17 May →
inferno10–130.0511%13 May →
cache13–90.027%13 May →
cache6–13-0.048%11 May →
cache13–9-0.0214%11 May →
cache13–4-0.0115%11 May →
cache13–10-0.088%9 May →
cache12–12-0.053%9 May →
cache13–5-0.0129%9 May →
cache10–13-0.0612%9 May →
cache10–13-0.0513%7 May →
cache10–13-0.0916%2 May →
inferno16–14-0.0423%29 Apr →
ancient5–13-0.0724%28 Apr →
inferno7–13-0.0515%28 Apr →
ancient11–13-0.058%24 Apr →
inferno4–13-0.0713%23 Apr →
dust27–130.0233%23 Apr →
anubis12–16-0.0711%23 Apr →
inferno8–13-0.0421%18 Apr →
nuke13–11-0.0026%18 Apr →
ancient13–100.0216%18 Apr →
dust213–7-0.0519%3 Apr →
overpass13–7-0.0413%3 Apr →
inferno13–20.0216%29 Mar →
dust22–13-0.0910%24 Mar →
nuke15–15-0.056%24 Mar →
dust213–11-0.018%22 Mar →
inferno13–7-0.0516%22 Mar →
nuke6–13-0.098%21 Mar →
nuke13–90.0512%21 Mar →
anubis13–3-0.018%21 Mar →
mirage5–13-0.028%20 Mar →
dust28–13-0.0512%20 Mar →
inferno0–13-0.1015%20 Mar →
inferno13–30.079%19 Mar →
nuke6–13-0.0523%19 Mar →
dust29–13-0.0217%18 Mar →
ancient8–13-0.089%18 Mar →
inferno7–13-0.0212%18 Mar →
ancient13–10-0.0314%18 Mar →
inferno13–9-0.0610%17 Mar →
inferno5–13-0.049%17 Mar →
nuke6–13-0.0318%17 Mar →
dust27–13-0.0314%16 Mar →
ancient13–70.1415%16 Mar →
nuke8–13-0.0412%16 Mar →
inferno14–160.0310%15 Mar →
nuke13–80.0710%15 Mar →
nuke13–10-0.0626%15 Mar →
ancient1–13-0.0712%13 Mar →
inferno5–13-0.1317%13 Mar →
dust29–13-0.1013%12 Mar →
inferno13–50.015%12 Mar →
inferno4–13-0.1211%12 Mar →
dust213–70.0614%12 Mar →
ancient8–13-0.076%11 Mar →
inferno13–40.0517%11 Mar →
mirage11–13-0.0223%11 Mar →
dust213–8-0.0514%9 Mar →

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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