John H. Showdown — CS2 Stats

FK76561198805914317[U:1:845648589]Steam profile ↗✓ No bans

1,562Tracked matches60%Win rate2021Tracked since

2,268Hours in CS29Hrs last 2 wks

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating24,580Top 50% of 819 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#2716 of 14550 tracked

FaceitLevel 9 · 2,075 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

24,580Peak Premier on CSDB

2,075Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,075
Next: 2,500 ELO at 2,500 — 425 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

At peak — 24,580
Next: Red band at 25,000 — 420 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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	vs Level 10
Headshot rate	48.8%	52.8%	4.0% short
Shot accuracy	10.9%	13.7%	2.8% short
Kill/death ratio	1.19	1.08	above
Match win rate	42.7%	49.2%	6.5% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.

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Performance scores

Aim90

Positioning61

Utility45

0–100 skill scores via Leetify.

Recent form

HOT57–41–2Last 10057%Win rateWWWLWWWWWL

Last 10 vs previous 10: +10pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.0

Aggression8.8

Utility4.5

Positioning6.1

Opening Duels3.8

Clutch3.2

Sharp aimerLimited 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.

Your pro match

Plays most like jL 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: 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

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.

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

Positioning6.1

Utility4.5

Mechanics7.5

Opening Duels3.8

Win Impact8.3

Composite 7.1/10 (Strong), 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 rating0.04+0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time529ms−69ms

first ⅓ avg 598ms → last ⅓ avg 529ms

Headshot accuracy25.2%−0.8%

first ⅓ avg 26.1% → last ⅓ avg 25.2%

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

0.25Best rating — inferno 9–3

13–2Biggest win — cache

12Longest win streak

W3Current streak

7–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 67% over 12anubisWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	15–14	52%	0.03
mirage	A	22	13–9	59%	0.04
ancient	A	15	9–6	60%	0.07
inferno	S	12	8–4	67%	0.08
cache	A	9	5–4	56%	0.03
anubis	C	7	3–4	43%	0.01
nuke	—	4	3–1	75%	0.08
office	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,635Lifetime kills

1.19K/D · Top 50% of Pink band

3,654Matches

42.7%Match win rate

48.8%Headshot % · Top 50% of Pink band

10.9%Shot accuracy

11,180MVPs

1,748Hours (in match)

1,782Bombs planted

718Bombs defused

Most-used weapons

AK-4730,227

M4A4 / M4A1-S14,004

AWP9,699

Desert Eagle5,984

P2000 / USP-S4,109

Glock-182,335

MP91,442

Galil AR1,338

SSG 081,287

P2501,132

Lifetime map wins

6,192dust2

3,514inferno

1,887nuke

1,116vertigo

806cbble

648train

290lake

78office

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

Faceit stats

Combat

563Matches

52%Win rate

1.16Avg K/D

85.9ADR

54%Headshot %

Clutches & streaks

36%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	151	58%	1.21	17.6
Mirage	145	50%	1.07	16.7
Ancient	123	50%	1.19	19.0
Anubis	43	44%	1.26	18.8
Inferno	38	58%	1.12	16.0
Nuke	33	39%	1.20	17.2
Overpass	17	47%	0.94	15.6
Train	7	43%	1.09	15.4

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.

25.4%Headshot accuracy

36.9%Accuracy (enemy spotted)

38.5%Spray accuracy

83.8%Counter-strafing

8.0°Preaim

531msReaction time

39.1%T opening success

51.6%CT opening success

0.53Enemies flashed / flash

11.9%Flash assists

9.90HE damage / grenade

4.61Flashes / 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
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 39.0895% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.00	25%	28 Aug →
dust2	13–7	0.03	25%	27 Aug →
inferno	13–8	0.06	31%	27 Aug →
inferno	10–13	0.01	28%	27 Aug →
dust2	16–12	0.05	17%	27 Aug →
dust2	13–8	-0.02	20%	27 Aug →
dust2	13–10	0.01	27%	26 Aug →
mirage	13–7	0.02	46%	26 Aug →
inferno	9–3	0.25	28%	26 Aug →
inferno	0–13	-0.03	0%	26 Aug →
nuke	9–5	0.14	22%	26 Aug →
dust2	10–13	0.01	18%	26 Aug →
inferno	13–7	0.09	31%	26 Aug →
mirage	2–9	-0.06	20%	25 Aug →
inferno	9–5	0.25	26%	23 Aug →
dust2	13–7	0.05	34%	23 Aug →
ancient	13–7	0.03	38%	22 Aug →
cache	13–6	0.14	33%	22 Aug →
dust2	13–16	-0.02	21%	21 Aug →
ancient	13–9	0.15	27%	21 Aug →
mirage	6–13	0.01	20%	21 Aug →
mirage	13–6	0.03	15%	20 Aug →
inferno	0–4	-0.04	0%	19 Aug →
dust2	4–13	0.00	29%	18 Aug →
ancient	13–6	0.11	30%	17 Aug →
dust2	11–13	-0.04	21%	17 Aug →
dust2	16–14	0.02	24%	17 Aug →
mirage	4–13	-0.02	29%	16 Aug →
nuke	9–7	0.03	38%	16 Aug →
dust2	10–13	0.11	31%	16 Aug →
mirage	13–7	0.10	36%	16 Aug →
anubis	9–13	-0.03	24%	15 Aug →
ancient	13–9	0.02	20%	15 Aug →
anubis	13–10	-0.05	21%	14 Aug →
mirage	13–7	0.08	23%	14 Aug →
mirage	16–12	0.06	34%	9 Aug →
ancient	13–6	0.23	15%	9 Aug →
office	13–8	0.04	43%	9 Aug →
mirage	13–9	0.05	25%	9 Aug →
nuke	13–10	0.11	25%	8 Aug →
dust2	13–10	0.09	28%	8 Aug →
anubis	13–4	0.05	20%	8 Aug →
dust2	13–7	0.11	24%	7 Aug →
ancient	13–6	0.07	30%	7 Aug →
ancient	17–19	0.02	18%	7 Aug →
anubis	7–13	-0.02	23%	7 Aug →
mirage	19–17	0.03	18%	7 Aug →
inferno	13–6	0.11	25%	6 Aug →
dust2	16–13	0.09	27%	6 Aug →
ancient	5–13	-0.02	16%	6 Aug →
mirage	11–13	0.07	14%	6 Aug →
inferno	13–9	0.11	26%	6 Aug →
ancient	25–23	0.06	25%	6 Aug →
dust2	8–13	-0.01	15%	6 Aug →
dust2	13–8	-0.02	20%	5 Aug →
nuke	5–13	0.06	37%	5 Aug →
dust2	9–13	0.03	25%	5 Aug →
inferno	13–4	0.04	14%	5 Aug →
mirage	6–13	-0.00	21%	4 Aug →
mirage	13–5	0.04	36%	4 Aug →
dust2	13–9	0.11	38%	4 Aug →
mirage	16–12	0.10	19%	3 Aug →
cache	9–13	0.02	37%	3 Aug →
mirage	15–15	0.04	23%	1 Aug →
ancient	11–13	0.08	25%	1 Aug →
dust2	10–13	-0.05	27%	1 Aug →
dust2	8–13	-0.03	23%	31 Jul →
mirage	11–13	0.01	28%	31 Jul →
inferno	5–0	0.03	60%	30 Jul →
ancient	10–13	0.08	23%	28 Jul →
ancient	13–3	0.06	28%	28 Jul →
cache	7–13	-0.06	23%	28 Jul →
mirage	7–13	0.02	23%	28 Jul →
dust2	13–16	0.05	31%	28 Jul →
cache	13–2	0.03	19%	28 Jul →
dust2	14–16	0.05	26%	28 Jul →
mirage	13–9	0.04	40%	28 Jul →
inferno	10–13	0.11	22%	28 Jul →
office	3–13	-0.02	31%	28 Jul →
anubis	3–13	0.04	25%	28 Jul →
dust2	7–13	0.04	19%	27 Jul →
anubis	11–13	0.07	17%	27 Jul →
dust2	13–10	0.09	22%	27 Jul →
cache	13–8	0.04	34%	27 Jul →
ancient	5–13	0.04	24%	27 Jul →
dust2	5–13	0.04	31%	27 Jul →
ancient	13–10	0.03	23%	27 Jul →
mirage	9–13	0.03	20%	27 Jul →
dust2	16–14	0.08	29%	27 Jul →
ancient	15–15	0.14	27%	27 Jul →
dust2	13–8	0.01	24%	27 Jul →
cache	13–6	0.00	17%	27 Jul →
mirage	13–11	0.06	15%	26 Jul →
cache	11–13	0.05	30%	26 Jul →
mirage	13–3	0.10	16%	24 Jul →
cache	13–9	-0.00	38%	24 Jul →
dust2	6–13	-0.02	24%	22 Jul →
anubis	13–7	0.02	33%	22 Jul →
dust2	13–3	0.09	17%	22 Jul →
cache	8–13	0.01	23%	21 Jul →