felix — CS2 Stats

RE76561198166773849[U:1:206508121]Steam profile ↗✓ No bans

1,667Tracked matches63%Win rate2020Tracked since

2,900Hours in CS

CSDB Rating7.3 StrongAggressive Rifler

FaceitLevel 10 · 2,458 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

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	51.0%	52.8%
Shot accuracy	15.3%	13.7%
Kill/death ratio	1.13	1.08
Match win rate	72.8%	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

Aim90

Positioning70

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWWLLWWWLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim9.0

Aggression10.0

Utility3.7

Positioning7.0

Opening Duels5.6

Clutch4.4

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.

Your pro match

Plays most like sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, positioning 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.

Reaction time. 588ms 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

Aim9.0

Positioning7.0

Utility3.7

Mechanics7.7

Opening Duels5.6

Win Impact9.4

Composite 7.3/10 (Strong), 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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time593ms+35ms

first ⅓ avg 558ms → last ⅓ avg 593ms

Headshot accuracy27.6%+4.3%

first ⅓ avg 23.3% → last ⅓ avg 27.6%

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

0.27Best rating — mirage 13–11

13–0Biggest win — train

9Longest win streak

10–12In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 82% over 11infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	28	19–9	68%	0.05
dust2	C	21	8–13	38%	0.01
ancient	B	17	9–8	53%	0.01
anubis	S	11	9–2	82%	0.06
cache	A	7	4–3	57%	0.01
inferno	D	7	1–6	14%	0.05
nuke	—	4	1–3	25%	0.05
overpass	—	2	0–2	0%	0.02
vertigo	—	2	1–1	50%	0.04
train	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,696Lifetime kills

1.13K/D · Top 50% of Level 10 players

11,144Matches

72.8%Match win rate · Top 1% of Level 10 players

51.0%Headshot %

15.3%Shot accuracy · Top 50% of Level 10 players

17,439MVPs

2,900Hours (in match)

5,634Bombs planted

1,764Bombs defused

Most-used weapons

AK-4747,797

M4A4 / M4A1-S22,862

AWP11,711

Desert Eagle9,543

P2000 / USP-S8,677

Glock-184,585

MP93,454

Galil AR2,632

Knife2,405

FAMAS2,404

Lifetime map wins

15,348dust2

7,087inferno

4,099nuke

2,877vertigo

1,201train

493cbble

379aztec

185office

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

Faceit stats

Combat

703Matches

56%Win rate

1.19Avg K/D

86.7ADR

51%Headshot %

Clutches & streaks

42%1v1 clutch win

31%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	122	61%	1.26	18.0
Ancient	75	53%	1.07	16.7
Dust2	74	54%	1.09	15.8
Inferno	35	51%	0.97	15.3
Anubis	32	38%	1.25	19.9
Nuke	22	50%	1.26	18.1
Cache	11	45%	1.03	16.9
Overpass	9	67%	1.31	18.6

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.

27.0%Headshot accuracy

40.1%Accuracy (enemy spotted)

40.3%Spray accuracy

84.9%Counter-strafing

8.8°Preaim

588msReaction time

46.8%T opening success

57.7%CT opening success

0.33Enemies flashed / flash

3.0%Flash assists

7.46HE damage / grenade

5.84Flashes / 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.

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 0.3333 — below the 0.5 mark we flag
Grenade Lineups →

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	0.04	13%	26 Aug →
cache	13–7	0.02	42%	26 Aug →
mirage	13–11	0.12	21%	26 Aug →
ancient	7–13	-0.04	23%	25 Aug →
dust2	5–13	0.02	23%	25 Aug →
anubis	13–8	0.02	26%	25 Aug →
ancient	16–14	0.05	22%	25 Aug →
mirage	22–20	0.08	32%	22 Aug →
dust2	7–13	-0.05	30%	22 Aug →
ancient	11–13	0.02	28%	15 Aug →
dust2	13–7	0.02	33%	15 Aug →
inferno	8–13	0.05	31%	14 Aug →
mirage	9–13	-0.01	39%	31 Jul →
mirage	13–6	0.12	23%	28 Jul →
dust2	13–10	0.04	42%	28 Jul →
mirage	13–4	0.01	16%	28 Jul →
ancient	13–6	-0.00	31%	28 Jul →
ancient	13–9	0.03	34%	26 Jul →
anubis	13–3	0.12	27%	25 Jul →
anubis	13–5	0.07	28%	25 Jul →
mirage	13–3	0.11	24%	25 Jul →
ancient	13–10	0.02	29%	24 Jul →
mirage	8–13	-0.01	22%	22 Jul →
mirage	9–13	0.01	18%	22 Jul →
anubis	13–7	0.07	15%	18 Jul →
train	13–0	0.08	31%	18 Jul →
overpass	9–13	0.00	24%	18 Jul →
dust2	10–13	0.00	27%	17 Jul →
ancient	13–2	0.08	44%	17 Jul →
anubis	13–10	0.07	17%	17 Jul →
mirage	13–3	-0.03	35%	14 Jul →
mirage	13–9	0.07	36%	13 Jul →
mirage	10–13	0.07	22%	13 Jul →
anubis	13–8	0.03	17%	13 Jul →
dust2	9–13	-0.00	22%	12 Jul →
mirage	11–13	-0.03	25%	12 Jul →
anubis	6–13	-0.03	15%	12 Jul →
mirage	13–10	0.02	13%	12 Jul →
mirage	11–5	0.06	21%	5 Jul →
nuke	13–10	0.03	20%	4 Jul →
inferno	14–16	0.05	27%	4 Jul →
anubis	13–0	0.17	13%	4 Jul →
dust2	3–13	0.03	34%	4 Jul →
mirage	10–13	-0.01	20%	29 Jun →
dust2	13–7	0.10	22%	29 Jun →
mirage	13–11	0.27	43%	28 Jun →
mirage	16–12	0.04	33%	23 Jun →
anubis	20–22	0.00	33%	21 Jun →
dust2	9–13	-0.01	24%	20 Jun →
dust2	13–11	-0.00	32%	16 Jun →
mirage	13–3	0.03	32%	13 Jun →
inferno	11–13	0.06	23%	12 Jun →
mirage	13–1	0.09	28%	10 Jun →
nuke	10–13	0.00	28%	9 Jun →
dust2	13–9	0.10	26%	9 Jun →
nuke	9–13	0.09	32%	5 Jun →
mirage	9–13	0.07	10%	4 Jun →
dust2	4–13	-0.03	30%	4 Jun →
anubis	13–5	0.13	23%	31 May →
mirage	13–5	0.07	19%	31 May →
dust2	5–13	0.02	23%	29 May →
ancient	11–13	0.03	18%	28 May →
mirage	13–6	0.01	50%	27 May →
nuke	18–22	0.07	25%	27 May →
inferno	7–13	0.12	26%	27 May →
ancient	7–13	-0.01	26%	24 May →
vertigo	14–16	0.08	25%	24 May →
inferno	11–13	-0.01	32%	23 May →
dust2	13–8	0.00	18%	23 May →
mirage	13–6	0.08	40%	23 May →
cache	11–13	0.06	21%	23 May →
dust2	11–13	-0.00	30%	23 May →
ancient	8–13	-0.05	21%	21 May →
cache	13–10	-0.02	24%	21 May →
vertigo	16–13	0.00	28%	21 May →
inferno	13–7	0.08	32%	21 May →
dust2	13–8	0.05	22%	21 May →
dust2	11–13	0.02	9%	21 May →
mirage	13–11	0.04	34%	20 May →
overpass	7–13	0.03	17%	20 May →
ancient	7–13	-0.03	28%	18 May →
cache	6–13	-0.04	26%	18 May →
ancient	13–4	0.03	14%	18 May →
cache	10–13	0.05	12%	17 May →
ancient	13–11	-0.00	20%	17 May →
mirage	12–16	-0.00	25%	17 May →
mirage	13–0	0.08	24%	17 May →
ancient	13–9	0.00	26%	17 May →
dust2	13–5	0.04	28%	17 May →
ancient	8–13	0.05	18%	17 May →
mirage	9–13	-0.03	22%	17 May →
dust2	3–13	-0.10	15%	16 May →
inferno	3–13	0.02	19%	16 May →
cache	16–14	-0.01	24%	16 May →
ancient	13–6	0.05	10%	16 May →
ancient	8–13	0.04	21%	16 May →
mirage	13–11	0.08	33%	15 May →
anubis	13–9	-0.00	17%	15 May →
dust2	5–13	-0.01	23%	15 May →
cache	13–11	0.04	32%	15 May →