IronFaamo57 — CS2 Stats

76561198256655313[U:1:296389585]

322Tracked matches66%Win rate2020Tracked since
1,168Hours in CS3Hrs last 2 wks
CSDB Rating5.0 Developing
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianvs Level 2
Headshot rate48.1%42.1%above
Shot accuracy10.6%12.9%2.3% short
Kill/death ratio0.841.000.17 short
Match win rate38.7%42.9%4.2% short

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGIronFaamo57FACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim55
Positioning44
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY504010Last 10050%Win rateWLWLWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.07 avg rating

Player DNA

Aim5.5
Aggression3.2
Utility2.7
Positioning4.4
Opening Duels0.7
Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 675ms 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

Aim5.5
Positioning4.4
Utility2.7
Mechanics6.2
Opening Duels1.4
Win Impact10.0

Composite 5.0/10 (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 -0.03 → last ⅓ avg -0.04
Reaction time630ms−38ms
first ⅓ avg 668ms → last ⅓ avg 630ms
Headshot accuracy24.3%+4.0%
first ⅓ avg 20.3% → last ⅓ avg 24.3%

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.

Highlights

0.18Best rating — ancient 13–3
131Biggest win — mirage
5Longest win streak
105In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 67% over 12infernoWeakest map · 45% over 60
MapGradePlayedRecordWin rateAvg rating
infernoB60273345%-0.05
mirageS128467%-0.02
ancientA53260%0.02
vertigoA53260%0.02
nuke4040%-0.05
debris32167%-0.03
dust232167%-0.00
cache220100%-0.04
eldorado110100%0.11
office1010%-0.11
anubis110100%0.02
overpass110100%-0.00
sanctum1010%0.00
poseidon1010%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 60). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,396Lifetime kills
0.84K/D
1,635Matches
38.7%Match win rate
48.1%Headshot % · Top 50% of tracked players
10.6%Shot accuracy
3,620MVPs
891Hours (in match)
1,727Bombs planted
229Bombs defused

Most-used weapons

Lifetime map wins

2,082inferno
1,092dust2
609lake
563nuke
558vertigo
328train
182cbble
44office

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

Faceit stats

Combat

77Matches
44%Win rate
0.76Avg K/D
64.4ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
8%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage956%0.8914.4
Dust2757%0.7111.0
Ancient540%0.8013.0
Cache560%0.8812.6
Nuke2100%0.9814.5
Overpass2100%0.6710.0
Inferno1100%0.7613.0
Train1100%0.7417.0

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.

22.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
35.1%Spray accuracy
78.0%Counter-strafing
11.1°Preaim
675msReaction time
24.8%T opening success
40.8%CT opening success
0.41Enemies flashed / flash
4.4%Flash assists
10.28HE damage / grenade
1.42Flashes / 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 0.4073 — 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 24.773% — below the 40% mark we flag

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.

45% win rate across 60 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0520%15 Aug
mirage9–13-0.0339%15 Aug
ancient13–90.0118%15 Aug
debris3–9-0.0442%15 Aug
debris9–7-0.0125%15 Aug
eldorado9–40.1132%14 Aug
debris9–6-0.0229%14 Aug
inferno4–9-0.0514%14 Aug
vertigo9–70.0234%14 Aug
inferno6–9-0.0816%1 Aug
inferno9–20.0239%1 Aug
vertigo9–5-0.0617%1 Aug
inferno3–9-0.1621%1 Aug
inferno9–60.0125%1 Aug
nuke4–9-0.1011%30 Jul
inferno3–9-0.1019%30 Jul
nuke5–9-0.0812%2 Jul
inferno1–9-0.2517%2 Jul
mirage3–13-0.0821%30 Jun
inferno6–9-0.0731%30 Jun
inferno5–9-0.1631%30 Jun
inferno14–160.0025%29 Jun
inferno5–11-0.0438%29 Jun
mirage13–20.0130%29 Jun
mirage13–9-0.0322%28 Jun
dust27–13-0.0440%28 Jun
mirage6–13-0.119%28 Jun
inferno4–10.0921%28 Jun
dust213–100.0022%28 Jun
ancient13–50.0317%28 Jun
cache13–9-0.0313%27 Jun
mirage13–10.0426%27 Jun
inferno8–8-0.0527%27 Jun
inferno9–7-0.0824%26 Jun
inferno9–30.0628%26 Jun
mirage13–5-0.0425%24 Jun
inferno8–8-0.0233%24 Jun
nuke8–8-0.1254%23 Jun
inferno6–9-0.0814%23 Jun
inferno3–9-0.1515%21 Jun
inferno6–9-0.0929%10 Jun
inferno9–50.0835%10 Jun
inferno8–8-0.0228%24 May
inferno9–40.0222%24 May
inferno8–8-0.0718%24 May
inferno9–60.0026%21 May
inferno5–9-0.0724%21 May
inferno9–7-0.0221%16 May
vertigo8–80.0423%16 May
inferno1–9-0.1020%15 May
inferno5–9-0.119%15 May
office12–12-0.117%14 May
vertigo8–80.0427%3 May
inferno9–50.0944%3 May
inferno7–9-0.0428%3 May
inferno3–9-0.1617%27 Apr
ancient6–13-0.0532%27 Apr
mirage13–3-0.0428%26 Apr
vertigo9–60.0717%20 Apr
inferno7–9-0.1510%20 Apr
inferno5–9-0.1025%17 Apr
inferno9–5-0.0046%8 Apr
inferno9–70.1529%8 Apr
anubis13–50.0238%6 Apr
inferno9–70.0314%6 Apr
inferno8–8-0.0744%28 Mar
inferno9–2-0.0516%22 Mar
ancient7–13-0.0718%20 Mar
inferno2–9-0.1113%15 Mar
overpass13–8-0.0024%14 Mar
sanctum2–90.0029%10 Mar
poseidon5–9-0.1125%10 Mar
inferno6–9-0.133%10 Mar
dust213–70.0415%10 Mar
inferno9–20.0925%9 Mar
inferno4–9-0.1122%9 Mar
inferno9–4-0.1529%9 Mar
nuke10–130.0925%9 Mar
inferno9–6-0.1120%9 Mar
ancient13–30.1841%8 Mar
inferno8–8-0.067%4 Mar
inferno9–7-0.0924%4 Mar
inferno7–9-0.0333%4 Mar
inferno5–9-0.1325%1 Mar
mirage13–20.1217%22 Feb
mirage6–130.0418%25 Jan
inferno13–6-0.0917%13 Jan
mirage13–3-0.007%13 Jan
mirage13–9-0.0713%11 Jan
inferno6–9-0.1411%4 Jan
inferno9–40.1021%4 Jan
inferno7–9-0.0213%4 Jan
inferno9–20.096%4 Jan
inferno9–30.0958%4 Jan
inferno9–7-0.0713%4 Jan
inferno9–50.0017%4 Jan
inferno9–4-0.0718%4 Jan
inferno3–9-0.1421%4 Jan
inferno9–10.0915%4 Jan
inferno9–7-0.0726%4 Jan

Match data via Leetify.

Recent teammates

Milestones

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