IronTony — CS2 Stats

DE76561198140985116[U:1:180719388]Steam profile ↗✓ No bans

5,327Tracked matches53%Win rate2020Tracked since

11,187Hours in CS89Hrs last 2 wks

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating24,347Top 50% of 819 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

CSDB Leaderboard#2786 of 13993 tracked

FaceitLevel 10 · 1,983 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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.

Metric	This player	Level 10 median
Headshot rate	77.2%	52.8%
Shot accuracy	9.2%	13.7%
Kill/death ratio	0.67	1.08
Match win rate	64.2%	49.2%

Share this profile

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

Aim69

Positioning49

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLWLWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression4.8

Utility5.5

Positioning4.9

Opening Duels2.0

Clutch3.8

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

Plays most like NiKo 91% playstyle similarity

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

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.9

Positioning4.9

Utility5.5

Mechanics5.3

Opening Duels2.0

Win Impact6.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time509ms−37ms

first ⅓ avg 546ms → last ⅓ avg 509ms

Headshot accuracy26.8%+3.1%

first ⅓ avg 23.7% → last ⅓ avg 26.8%

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.

Highlights

0.13Best rating — anubis 13–5

13–1Biggest win — inferno

5Longest win streak

L2Current streak

12–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 65% over 23nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	14–9	61%	0.01
anubis	S	23	15–8	65%	0.01
dust2	C	20	8–12	40%	-0.00
cache	A	13	8–5	62%	0.02
ancient	D	11	3–8	27%	-0.02
nuke	D	6	1–5	17%	-0.03
vertigo	—	2	1–1	50%	-0.02
mirage	—	2	2–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

408,273Lifetime kills

0.67K/D

7,589Matches

64.2%Match win rate · Top 5% of Level 10 players

77.2%Headshot % · Top 1% of Level 10 players

9.2%Shot accuracy

19,087MVPs

43,525Hours (in match)

13,918Bombs planted

3,363Bombs defused

Most-used weapons

AK-47244,643

P2000 / USP-S61,697

M4A4 / M4A1-S58,104

Desert Eagle18,483

AWP10,325

Glock-189,970

MP97,311

FAMAS6,534

Galil AR6,317

P2505,112

Lifetime map wins

24,311inferno

16,366dust2

5,749nuke

4,465vertigo

3,051train

1,868cbble

209office

58lake

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

Faceit stats

Combat

3,634Matches

50%Win rate

1.05Avg K/D

75.7ADR

57%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	425	46%	1.02	14.7
Ancient	423	50%	1.09	16.2
Anubis	406	49%	1.08	15.6
Inferno	305	57%	1.19	16.6
Mirage	246	45%	0.92	13.2
Nuke	137	50%	1.03	15.5
Overpass	100	56%	1.12	16.6
Cache	47	53%	1.20	17.3

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.

26.2%Headshot accuracy

30.8%Accuracy (enemy spotted)

37.5%Spray accuracy

73.8%Counter-strafing

12.6°Preaim

504msReaction time

38.2%T opening success

37.9%CT opening success

0.54Enemies flashed / flash

11.0%Flash assists

8.50HE damage / grenade

7.12Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5769° — above the 12° mark we flag
Aim Training →

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–13	-0.04	27%	28 Aug →
anubis	9–13	-0.03	37%	27 Aug →
cache	13–11	0.05	33%	27 Aug →
cache	9–13	-0.03	33%	27 Aug →
dust2	13–10	-0.02	25%	27 Aug →
cache	13–8	-0.02	14%	26 Aug →
anubis	13–11	0.01	26%	26 Aug →
anubis	13–8	0.01	21%	25 Aug →
nuke	13–16	-0.00	20%	25 Aug →
inferno	13–11	-0.00	14%	24 Aug →
anubis	5–13	-0.04	16%	24 Aug →
inferno	6–13	-0.00	28%	23 Aug →
vertigo	8–13	-0.10	37%	23 Aug →
inferno	13–6	0.03	17%	23 Aug →
anubis	13–9	0.02	25%	23 Aug →
cache	13–8	-0.01	10%	23 Aug →
nuke	10–13	-0.08	19%	23 Aug →
ancient	7–13	-0.02	20%	23 Aug →
anubis	13–11	-0.04	34%	23 Aug →
anubis	13–11	-0.04	43%	22 Aug →
vertigo	13–9	0.06	41%	22 Aug →
inferno	13–9	0.04	34%	22 Aug →
cache	16–19	0.04	29%	21 Aug →
anubis	13–5	0.04	32%	21 Aug →
anubis	13–8	-0.04	15%	21 Aug →
dust2	7–13	-0.03	29%	21 Aug →
anubis	13–16	0.03	23%	21 Aug →
dust2	0–13	-0.00	24%	21 Aug →
inferno	16–13	0.05	28%	21 Aug →
anubis	7–13	-0.03	30%	21 Aug →
ancient	7–13	-0.01	48%	20 Aug →
cache	13–11	0.06	38%	20 Aug →
anubis	9–13	-0.04	14%	20 Aug →
inferno	13–5	0.01	25%	20 Aug →
nuke	14–16	-0.00	21%	20 Aug →
ancient	11–13	-0.02	29%	19 Aug →
dust2	13–11	-0.01	34%	19 Aug →
cache	13–2	0.10	32%	19 Aug →
inferno	18–22	-0.05	33%	19 Aug →
mirage	13–6	0.05	20%	18 Aug →
anubis	13–7	-0.00	17%	18 Aug →
cache	16–13	0.02	25%	18 Aug →
cache	13–4	0.04	23%	18 Aug →
anubis	13–5	0.13	30%	18 Aug →
ancient	10–13	0.00	25%	18 Aug →
inferno	13–6	0.02	39%	18 Aug →
mirage	13–6	-0.00	23%	18 Aug →
nuke	13–2	-0.05	28%	17 Aug →
anubis	9–13	-0.01	30%	17 Aug →
anubis	13–9	0.06	22%	17 Aug →
dust2	5–13	-0.03	26%	17 Aug →
cache	13–7	0.03	24%	17 Aug →
anubis	19–15	-0.04	18%	17 Aug →
dust2	13–11	0.03	21%	17 Aug →
dust2	13–7	-0.04	18%	17 Aug →
dust2	3–13	-0.04	20%	17 Aug →
ancient	16–14	-0.01	14%	17 Aug →
inferno	13–9	-0.04	12%	16 Aug →
cache	14–16	0.04	34%	16 Aug →
dust2	13–6	0.03	29%	16 Aug →
ancient	5–13	-0.03	29%	16 Aug →
dust2	11–13	-0.02	23%	16 Aug →
dust2	6–13	0.00	39%	16 Aug →
dust2	13–9	0.04	28%	15 Aug →
anubis	13–10	0.05	29%	15 Aug →
inferno	13–9	0.01	24%	14 Aug →
ancient	7–13	-0.02	23%	14 Aug →
anubis	17–19	0.00	30%	14 Aug →
nuke	5–13	0.03	22%	13 Aug →
ancient	9–13	-0.03	19%	13 Aug →
dust2	12–16	-0.04	21%	13 Aug →
ancient	6–13	-0.05	26%	13 Aug →
inferno	10–13	-0.01	42%	13 Aug →
anubis	13–9	0.02	33%	13 Aug →
anubis	13–10	0.01	27%	13 Aug →
dust2	13–10	0.06	26%	13 Aug →
inferno	8–13	0.01	26%	13 Aug →
ancient	13–8	-0.03	20%	13 Aug →
ancient	13–10	-0.05	22%	13 Aug →
inferno	6–13	-0.02	28%	13 Aug →
dust2	9–13	-0.02	25%	12 Aug →
anubis	4–13	0.01	23%	12 Aug →
dust2	10–13	-0.02	40%	12 Aug →
anubis	13–11	0.05	20%	12 Aug →
inferno	13–1	0.10	19%	12 Aug →
inferno	13–11	0.05	15%	12 Aug →
nuke	9–13	-0.08	18%	12 Aug →
dust2	5–13	-0.02	27%	12 Aug →
dust2	10–13	-0.00	25%	11 Aug →
inferno	13–2	0.05	22%	11 Aug →
cache	3–13	-0.11	9%	11 Aug →
dust2	13–5	0.03	23%	10 Aug →
inferno	11–13	-0.02	23%	10 Aug →
dust2	11–13	0.03	19%	9 Aug →
inferno	13–11	-0.00	16%	9 Aug →
inferno	10–13	0.06	25%	9 Aug →
cache	15–15	0.06	27%	9 Aug →
inferno	13–7	0.01	18%	9 Aug →
inferno	10–13	0.01	18%	9 Aug →
inferno	13–7	0.03	24%	9 Aug →