smol_iron

smol_iron — CS2 Stats

DK76561197985516954[U:1:25251226]Steam profile ↗✓ No bans

1,073Tracked matches50%Win rate2022Tracked since
1,081Hours in CS
CSDB Rating7.1 StrongPositional Player
Premier CS Rating27,050Top 5% of 212,133 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#6140 of 259131 tracked
FaceitLevel 9 · 1,290 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Aug 2026 (85 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: 27,050 +5,863 17 Jun – 8 Aug · 21 days played
21,18727,371peak 27,37117 Jun8 Aug
27,688Peak Premier in tracked matches
1,290Highest Faceit ELO seen on CSDB
33Days played since 2026-06-17

Faceit ELO

  • At peak — 1,290
  • Next: Level 7 at 1,351 — 61 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 321 below peak (27,371)
  • +2,618 over 30 days · improving
  • Next: Gold band at 30,000 — 2,950 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate56.9%48.2%50.9%above
Shot accuracy14.4%13.2%13.7%above
Kill/death ratio1.671.071.09above
Match win rate42.9%46.9%48.4%5.5% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsmol_ironFACEITLevel 9 · 1,290 ELOSTANDINGTop 20.7% of rankedPREMIER27,050 · Red bandPEAK ELO1,290csdb.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

Aim90
Positioning70
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLWLWLWLLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −4.3pp headshot accuracy · −42ms reaction

Win rate 0pp 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 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 449ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 493ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 514ms

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).

Aim9.0
Utility4.8
Positioning7.0
Opening Duels6.0
Clutch3.6

Sharp aimer

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

donk

Plays most like donk 96% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

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

T-side openings. Opening success drops from 57% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning7.0
Utility4.8
Mechanics6.4
Opening Duels4.7
Win Impact5.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time516ms−79ms
first ⅓ avg 595ms → last ⅓ avg 516ms
Headshot accuracy26.4%−0.4%
first ⅓ avg 26.8% → last ⅓ avg 26.4%

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

0.16Best match rating · 13–8 · anubis, 12 Aug →
47%Best headshot accuracy · 13–7 · inferno, 5 Aug →
375msFastest reaction time · 13–8 · anubis, 12 Aug →
13–1Biggest win · nuke, 24 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 70% over 23ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2514–1156%0.04
nukeS2316–770%0.02
mirageD164–1225%0.01
cacheD155–1033%0.01
anubisC114–736%0.02
ancientD51–420%-0.02
overpass—32–167%0.08
vertigo—21–150%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,278Lifetime kills
1.67K/D · Top 5% of Level 9 players
2,132Matches
42.9%Match win rate
56.9%Headshot % · Top 25% of Level 9 players
14.4%Shot accuracy · Top 50% of Level 9 players
6,575MVPs
1,081Hours (in match)
1,540Bombs planted
649Bombs defused

Most-used weapons

Lifetime map wins

3,971nuke
2,916inferno
1,689vertigo
1,272dust2
610train
164cbble
95safehouse
60lake

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

Faceit stats

Combat

87Matches
70%Win rate
1.56Avg K/D
95.1ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
33%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1867%1.3716.3
Nuke1573%1.5019.2
Mirage1471%1.6419.5
Vertigo888%1.3220.5
Cache862%1.7419.3
Anubis771%2.5725.1
Overpass580%1.5421.0
Dust22100%2.6626.5

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.

26.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
42.4%Spray accuracy
78.8%Counter-strafing
7.7°Preaim
514msReaction time
40.8%T opening success
56.7%CT opening success
0.52Enemies flashed / flash
4.1%Flash assists
5.92HE damage / grenade
10.24Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0242%11 Sept →
inferno4–13-0.0218%27 Aug →
nuke13–10.0115%24 Aug →
anubis16–190.0217%20 Aug →
mirage13–90.0527%14 Aug →
inferno10–130.0315%14 Aug →
vertigo19–160.0126%13 Aug →
anubis14–160.0735%13 Aug →
cache5–13-0.0836%13 Aug →
nuke13–110.0122%13 Aug →
anubis13–80.1634%12 Aug →
mirage4–130.0423%9 Aug →
inferno19–170.0324%8 Aug →
anubis6–13-0.0143%8 Aug →
inferno7–13-0.0121%6 Aug →
mirage7–130.0732%6 Aug →
inferno13–80.1216%6 Aug →
nuke13–5-0.0344%6 Aug →
cache9–130.0230%6 Aug →
cache5–13-0.0229%5 Aug →
nuke13–80.0625%5 Aug →
inferno13–70.0547%5 Aug →
inferno13–40.0318%5 Aug →
mirage15–150.0026%5 Aug →
inferno7–13-0.0223%4 Aug →
cache6–13-0.0419%4 Aug →
nuke13–9-0.0025%3 Aug →
anubis15–150.0618%2 Aug →
anubis13–9-0.0614%1 Aug →
inferno13–80.0029%1 Aug →
anubis13–10-0.0022%1 Aug →
nuke13–40.0340%1 Aug →
mirage13–7-0.0316%1 Aug →
inferno5–13-0.076%1 Aug →
ancient12–160.0029%30 Jul →
inferno13–60.0221%30 Jul →
nuke13–3-0.0528%30 Jul →
mirage8–130.0435%30 Jul →
nuke13–10.0518%30 Jul →
anubis9–130.0230%30 Jul →
cache13–9-0.0823%30 Jul →
mirage13–16-0.0113%26 Jul →
nuke13–50.0126%26 Jul →
inferno13–100.0124%26 Jul →
mirage8–13-0.0434%26 Jul →
inferno9–130.0419%26 Jul →
vertigo11–130.0221%26 Jul →
mirage2–13-0.0213%25 Jul →
cache11–130.0115%25 Jul →
nuke16–130.0426%25 Jul →
cache13–100.0724%25 Jul →
cache13–60.0014%25 Jul →
cache11–130.0325%15 Jul →
inferno3–13-0.0224%15 Jul →
cache16–130.0517%12 Jul →
cache8–130.0425%12 Jul →
inferno13–90.1127%12 Jul →
inferno13–100.1025%11 Jul →
nuke13–20.1328%11 Jul →
cache6–130.0922%11 Jul →
nuke13–90.0317%11 Jul →
mirage13–7-0.0519%11 Jul →
cache0–13-0.030%11 Jul →
cache8–130.0522%9 Jul →
inferno13–60.1031%9 Jul →
cache13–11-0.0122%9 Jul →
overpass15–150.0320%6 Jul →
inferno13–100.0743%5 Jul →
nuke11–130.0127%5 Jul →
mirage4–13-0.0617%5 Jul →
ancient4–13-0.0826%5 Jul →
nuke13–30.0219%5 Jul →
mirage6–13-0.0127%5 Jul →
inferno13–80.0821%5 Jul →
mirage1–13-0.0322%3 Jul →
ancient4–13-0.0317%3 Jul →
inferno6–130.1328%2 Jul →
inferno2–13-0.0133%2 Jul →
nuke13–50.1033%30 Jun →
nuke6–130.0327%30 Jun →
nuke9–130.0523%28 Jun →
nuke6–130.0220%28 Jun →
inferno15–150.1222%28 Jun →
overpass13–90.0619%27 Jun →
nuke15–150.1038%27 Jun →
inferno13–70.1632%27 Jun →
nuke13–10-0.0232%27 Jun →
inferno13–60.0238%27 Jun →
ancient14–160.0221%27 Jun →
mirage16–140.0523%27 Jun →
nuke4–13-0.0428%25 Jun →
overpass13–50.1626%25 Jun →
anubis10–13-0.0240%25 Jun →
anubis6–13-0.0019%21 Jun →
ancient13–11-0.0230%21 Jun →
inferno7–130.0130%21 Jun →
mirage7–130.0433%21 Jun →
anubis16–130.0019%18 Jun →
nuke13–10-0.0124%18 Jun →
mirage15–150.1027%17 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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