Crimson Typhoon — CS2 Stats

CH76561198284479459[U:1:324213731]Steam profile ↗✓ No bans

1,417Tracked matches50%Win rate2021Tracked since

3,882Hours in CS9Hrs last 2 wks

CSDB Rating6.1 SolidSupport

CSDB Leaderboard#92813 of 261305 tracked

FaceitLevel 8 · 1,793 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,568 -3,053 7 Mar – 11 Jun · 19 days played

24,221Peak Premier in tracked matches

1,793Highest Faceit ELO seen on CSDB

27Days played since 2026-03-07

Faceit ELO

At peak — 1,793
Next: Level 10 at 2,001 — 208 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6

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 8 among CSDB-tracked players (n=15,525), 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 8 median	Level 9 median	vs Level 9
Headshot rate	45.8%	46.8%	48.2%	2.4% short
Shot accuracy	13.8%	13.0%	13.2%	above
Kill/death ratio	1.08	1.06	1.07	meets
Match win rate	47.7%	46.3%	46.9%	meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning55

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWWWLLLWLLL

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · +6.8pp headshot accuracy · +19ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.05
Avg headshot accuracy 28%
Avg reaction 583ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 631ms

Last 20

10–10 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 19%
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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim7.5

Utility5.5

Positioning5.5

Opening Duels4.3

Clutch2.8

Excellent counter-strafing

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

Plays most like jL 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 619ms 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

Aim7.5

Positioning5.5

Utility5.5

Mechanics9.1

Opening Duels3.4

Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time620ms−10ms

first ⅓ avg 630ms → last ⅓ avg 620ms

Headshot accuracy19.3%+1.4%

first ⅓ avg 18.0% → last ⅓ avg 19.3%

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.

Personal bests

0.22Best match rating · 13–6 · mirage, 10 Mar →

38%Best headshot accuracy · 8–13 · dust2, 11 Jun →

453msFastest reaction time · 9–1 · inferno, 11 Mar →

13–1Biggest win · ancient, 7 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W3Current streak

9–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 50% over 20mirageWeakest map · 38% over 24

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	11–16	41%	-0.01
mirage	C	24	9–15	38%	-0.01
ancient	B	20	10–10	50%	0.01
inferno	B	18	9–9	50%	0.00
vertigo	—	3	2–1	67%	0.03
anubis	—	3	1–2	33%	-0.04
cache	—	2	1–1	50%	-0.06
overpass	—	2	0–2	0%	-0.06
nuke	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,128Lifetime kills

1.08K/D · Top 50% of Level 8 players

5,524Matches

47.7%Match win rate · Top 50% of Level 8 players

45.8%Headshot %

13.8%Shot accuracy · Top 50% of Level 8 players

16,159MVPs

4,324Hours (in match)

4,943Bombs planted

2,079Bombs defused

Most-used weapons

AK-4767,425

AWP24,832

M4A4 / M4A1-S20,603

Desert Eagle8,268

P2000 / USP-S7,594

Glock-184,264

MP92,646

Galil AR2,442

Knife2,357

FAMAS1,968

Lifetime map wins

16,304inferno

14,253dust2

2,621vertigo

2,191train

2,160nuke

97cbble

73safehouse

68office

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

Faceit stats

Combat

1,127Matches

51%Win rate

1.03Avg K/D

73.9ADR

38%Headshot %

Clutches & streaks

34%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	141	50%	0.97	14.5
Ancient	84	42%	0.98	14.8
Dust2	68	43%	0.99	15.0
Anubis	64	53%	0.95	13.9
Inferno	43	56%	1.00	14.2
Nuke	10	50%	0.66	12.8
Vertigo	9	67%	0.99	16.4
Train	8	50%	0.94	12.3

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.

19.3%Headshot accuracy

37.4%Accuracy (enemy spotted)

36.5%Spray accuracy

90.9%Counter-strafing

11.1°Preaim

619msReaction time

42.4%T opening success

44.8%CT opening success

0.65Enemies flashed / flash

9.3%Flash assists

5.25HE damage / grenade

5.77Flashes / match

Recommended for you

Spend your practice time on Mirage

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

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.05	25%	9 Jul →
ancient	13–6	0.11	32%	9 Jul →
ancient	13–10	0.11	17%	11 Jun →
dust2	8–13	0.07	38%	11 Jun →
vertigo	3–13	0.02	29%	4 May →
cache	5–13	-0.07	11%	4 May →
vertigo	13–10	0.03	30%	4 May →
inferno	14–16	-0.01	14%	3 May →
mirage	6–13	-0.07	7%	3 May →
ancient	7–13	-0.02	18%	2 May →
anubis	10–6	-0.01	11%	1 May →
vertigo	13–11	0.04	15%	29 Apr →
nuke	13–5	-0.04	6%	29 Apr →
cache	13–11	-0.04	18%	29 Apr →
mirage	5–13	-0.03	13%	29 Apr →
mirage	12–16	-0.05	10%	29 Apr →
inferno	9–13	-0.01	12%	29 Apr →
inferno	13–10	0.01	24%	29 Apr →
ancient	13–11	-0.05	22%	29 Apr →
overpass	1–13	-0.10	22%	25 Apr →
mirage	13–9	-0.04	26%	25 Apr →
mirage	5–13	-0.04	18%	24 Apr →
dust2	4–13	-0.05	10%	24 Apr →
ancient	13–7	-0.03	24%	24 Apr →
inferno	13–2	0.03	32%	24 Apr →
mirage	13–9	0.09	29%	23 Apr →
dust2	10–13	-0.03	11%	23 Apr →
dust2	11–13	-0.02	20%	21 Apr →
mirage	13–4	0.04	16%	21 Apr →
mirage	8–13	-0.09	23%	16 Apr →
ancient	7–13	0.01	17%	16 Apr →
ancient	1–13	-0.08	19%	16 Apr →
mirage	13–11	-0.02	21%	13 Apr →
inferno	15–15	-0.01	11%	13 Apr →
ancient	13–8	-0.03	17%	13 Apr →
ancient	15–15	0.05	16%	13 Apr →
anubis	3–8	-0.07	18%	12 Apr →
dust2	13–8	0.03	20%	12 Apr →
ancient	8–13	-0.04	10%	12 Apr →
dust2	9–13	-0.04	26%	11 Apr →
dust2	11–13	0.01	31%	10 Apr →
mirage	9–13	-0.04	22%	9 Apr →
dust2	16–13	-0.04	18%	9 Apr →
dust2	7–13	-0.05	16%	9 Apr →
mirage	5–13	-0.06	16%	9 Apr →
mirage	5–13	-0.05	33%	16 Mar →
ancient	14–16	-0.03	15%	16 Mar →
mirage	11–13	0.01	15%	15 Mar →
inferno	13–4	-0.01	26%	15 Mar →
inferno	14–16	-0.03	20%	15 Mar →
dust2	6–13	-0.06	15%	15 Mar →
dust2	13–11	-0.02	19%	14 Mar →
dust2	13–10	-0.05	11%	14 Mar →
ancient	13–2	0.03	17%	14 Mar →
dust2	13–11	0.00	31%	13 Mar →
mirage	13–6	0.04	27%	13 Mar →
inferno	13–7	-0.01	25%	13 Mar →
ancient	13–8	0.02	12%	13 Mar →
inferno	13–4	0.09	13%	13 Mar →
dust2	13–6	-0.01	17%	13 Mar →
ancient	7–13	-0.00	32%	13 Mar →
inferno	13–4	0.08	27%	13 Mar →
mirage	9–13	-0.02	19%	12 Mar →
dust2	13–11	-0.04	17%	12 Mar →
dust2	7–13	0.03	36%	12 Mar →
inferno	8–13	-0.08	11%	11 Mar →
anubis	5–13	-0.04	10%	11 Mar →
mirage	6–13	-0.05	19%	11 Mar →
inferno	10–13	-0.04	16%	11 Mar →
inferno	9–13	-0.01	15%	11 Mar →
inferno	9–1	0.17	12%	11 Mar →
ancient	13–7	-0.04	18%	11 Mar →
inferno	6–4	-0.06	33%	11 Mar →
mirage	13–10	0.02	16%	11 Mar →
inferno	5–13	-0.07	16%	11 Mar →
dust2	13–3	0.00	8%	11 Mar →
mirage	13–6	0.02	20%	10 Mar →
dust2	9–13	-0.03	9%	10 Mar →
dust2	11–13	-0.04	28%	10 Mar →
mirage	4–13	-0.02	30%	10 Mar →
overpass	6–13	-0.01	30%	10 Mar →
dust2	8–13	-0.04	14%	10 Mar →
mirage	13–6	0.22	15%	10 Mar →
dust2	9–13	-0.06	14%	9 Mar →
ancient	15–15	0.05	5%	9 Mar →
dust2	13–8	0.01	34%	9 Mar →
mirage	8–13	0.01	20%	9 Mar →
ancient	16–12	0.04	15%	9 Mar →
inferno	11–13	0.04	16%	9 Mar →
mirage	8–13	-0.05	29%	9 Mar →
mirage	2–13	-0.04	30%	9 Mar →
mirage	16–13	0.04	16%	8 Mar →
ancient	10–13	-0.00	15%	8 Mar →
dust2	13–10	-0.03	15%	8 Mar →
inferno	13–2	-0.01	18%	8 Mar →
dust2	12–16	0.04	17%	7 Mar →
ancient	13–1	0.01	22%	7 Mar →
dust2	6–13	0.06	11%	7 Mar →
ancient	10–13	-0.00	9%	7 Mar →
dust2	15–15	0.02	10%	7 Mar →