Derfx⚡ — CS2 Stats

ES76561199141205597[U:1:1180939869]Steam profile ↗✓ No bans

1,840Tracked matches62%Win rate2021Tracked since

2,283Hours in CS36Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#7281 of 16429 tracked

FaceitLevel 5 · 1,156 ELOTop 67.6% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning48

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWWWWLLLLLL

Last 10 vs previous 10: -50pp win rate · +0.03 avg rating

Player DNA

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

Aim8.1

Aggression5.3

Utility4.8

Positioning4.8

Opening Duels2.5

Clutch3.8

Strong CT-side opener

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 90% playstyle similarity

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

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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1

Positioning4.8

Utility4.8

Mechanics6.1

Opening Duels2.5

Win Impact9.0

Composite 6.3/10 (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 rating0.00+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time578ms−37ms

first ⅓ avg 615ms → last ⅓ avg 578ms

Headshot accuracy17.5%−4.7%

first ⅓ avg 22.2% → last ⅓ avg 17.5%

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

0.22Best rating — inferno 9–3

13–1Biggest win — cache

8Longest win streak

W4Current streak

12–2In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	37	22–15	59%	-0.00
dust2	B	12	6–6	50%	-0.00
mirage	C	11	4–7	36%	-0.01
cache	A	11	6–5	55%	-0.00
vertigo	S	9	6–3	67%	0.01
anubis	S	7	5–2	71%	-0.01
ancient	B	6	3–3	50%	-0.00
nuke	—	4	1–3	25%	0.02
train	—	2	2–0	100%	-0.01
overpass	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,936Lifetime kills

0.91K/D

2,837Matches

46.1%Match win rate

48.4%Headshot % · Top 50% of Pink band

1.7%Shot accuracy

5,875MVPs

1,168Hours (in match)

2,678Bombs planted

546Bombs defused

Most-used weapons

AK-4712,972

M4A4 / M4A1-S7,775

AWP4,387

Desert Eagle2,736

P2000 / USP-S2,723

Glock-182,438

MP92,101

MAC-101,764

Galil AR1,359

XM1014963

Lifetime map wins

5,954inferno

3,623dust2

2,312vertigo

1,783nuke

468train

101cbble

60office

13italy

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

Faceit stats

Combat

199Matches

50%Win rate

0.86Avg K/D

73.5ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

9%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	40	40%	0.83	13.5
Inferno	34	68%	0.93	14.5
Vertigo	25	48%	0.92	13.6
Anubis	23	61%	0.94	15.7
Ancient	23	35%	0.81	13.3
Nuke	18	61%	0.77	13.3
Dust2	15	53%	0.84	13.2
Overpass	10	30%	0.76	12.8

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.

17.7%Headshot accuracy

40.9%Accuracy (enemy spotted)

50.8%Spray accuracy

77.7%Counter-strafing

11.4°Preaim

588msReaction time

29.8%T opening success

50.0%CT opening success

0.56Enemies flashed / flash

5.4%Flash assists

7.89HE damage / grenade

7.44Flashes / 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 29.7542% — below the 40% mark we flag

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.

36% win rate across 11 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
mirage	13–11	0.00	13%	28 Aug →
ancient	13–10	-0.02	8%	28 Aug →
vertigo	13–11	0.07	23%	27 Aug →
vertigo	13–3	0.19	32%	27 Aug →
cache	6–13	0.00	17%	27 Aug →
anubis	10–13	0.01	28%	27 Aug →
vertigo	6–13	-0.00	16%	25 Aug →
vertigo	3–13	-0.00	19%	25 Aug →
ancient	10–13	-0.07	11%	25 Aug →
cache	8–13	-0.05	35%	25 Aug →
inferno	13–2	-0.02	4%	24 Aug →
cache	13–8	-0.03	12%	24 Aug →
anubis	13–11	-0.06	16%	24 Aug →
train	13–4	-0.04	11%	23 Aug →
mirage	13–11	0.02	14%	23 Aug →
anubis	13–7	0.02	16%	23 Aug →
anubis	13–5	0.04	16%	23 Aug →
cache	13–9	0.01	14%	23 Aug →
vertigo	5–13	-0.07	15%	22 Aug →
vertigo	13–11	-0.02	18%	22 Aug →
nuke	11–13	-0.01	15%	22 Aug →
dust2	13–9	-0.01	21%	22 Aug →
dust2	13–7	0.01	23%	22 Aug →
nuke	12–12	0.09	20%	22 Aug →
dust2	13–2	0.04	32%	22 Aug →
vertigo	13–11	0.03	31%	21 Aug →
inferno	9–13	-0.08	12%	20 Aug →
inferno	3–13	-0.06	8%	20 Aug →
inferno	13–10	0.01	21%	20 Aug →
inferno	10–13	-0.04	11%	20 Aug →
inferno	9–3	0.22	14%	20 Aug →
inferno	10–13	-0.02	19%	19 Aug →
mirage	6–13	-0.03	14%	19 Aug →
anubis	7–13	-0.02	18%	19 Aug →
cache	13–1	0.01	15%	19 Aug →
cache	13–3	-0.06	3%	19 Aug →
inferno	5–9	0.02	16%	18 Aug →
inferno	6–9	-0.11	17%	18 Aug →
inferno	6–9	-0.14	38%	18 Aug →
inferno	9–6	0.05	18%	18 Aug →
inferno	9–3	0.08	21%	18 Aug →
mirage	13–11	0.01	28%	18 Aug →
inferno	13–11	0.01	8%	18 Aug →
inferno	9–13	-0.07	24%	17 Aug →
inferno	13–3	0.01	27%	17 Aug →
inferno	12–12	-0.04	19%	17 Aug →
ancient	7–13	-0.07	7%	17 Aug →
anubis	13–2	0.01	17%	17 Aug →
nuke	13–2	-0.04	24%	17 Aug →
inferno	5–2	0.01	0%	16 Aug →
inferno	13–8	-0.03	16%	11 Aug →
mirage	1–13	-0.02	16%	11 Aug →
mirage	13–8	0.05	16%	11 Aug →
dust2	13–4	0.04	17%	11 Aug →
cache	13–9	0.03	8%	10 Aug →
inferno	13–10	-0.01	17%	10 Aug →
dust2	10–13	-0.04	13%	10 Aug →
ancient	7–13	0.00	13%	10 Aug →
mirage	8–13	-0.03	18%	9 Aug →
mirage	7–13	-0.07	29%	9 Aug →
cache	13–1	0.14	26%	9 Aug →
cache	7–13	-0.00	25%	8 Aug →
dust2	0–7	-0.00	17%	8 Aug →
dust2	16–14	0.03	25%	8 Aug →
inferno	11–13	-0.03	19%	8 Aug →
inferno	13–9	-0.04	12%	8 Aug →
inferno	13–8	-0.03	12%	7 Aug →
cache	6–13	-0.01	26%	7 Aug →
mirage	6–13	-0.02	21%	7 Aug →
mirage	6–13	-0.00	19%	7 Aug →
inferno	16–12	0.02	25%	7 Aug →
inferno	9–7	0.04	13%	6 Aug →
inferno	8–8	-0.04	12%	6 Aug →
dust2	13–16	-0.02	21%	6 Aug →
nuke	13–16	0.04	21%	5 Aug →
ancient	13–6	0.08	39%	5 Aug →
mirage	12–12	-0.05	13%	28 Jul →
anubis	13–8	-0.04	25%	28 Jul →
inferno	7–2	0.07	17%	28 Jul →
inferno	3–9	-0.15	9%	28 Jul →
inferno	9–3	0.04	14%	28 Jul →
inferno	9–4	-0.04	37%	28 Jul →
inferno	9–5	0.12	28%	27 Jul →
overpass	5–13	0.00	21%	27 Jul →
cache	13–16	-0.07	14%	27 Jul →
dust2	7–13	-0.06	17%	27 Jul →
inferno	13–5	-0.02	30%	27 Jul →
inferno	4–13	-0.03	19%	27 Jul →
inferno	13–8	0.06	24%	27 Jul →
inferno	9–3	0.04	0%	27 Jul →
inferno	9–5	0.05	33%	27 Jul →
inferno	10–13	0.00	17%	26 Jul →
vertigo	13–10	-0.03	18%	26 Jul →
train	13–11	0.01	22%	23 Jul →
vertigo	13–10	-0.04	37%	23 Jul →
dust2	9–13	-0.01	32%	23 Jul →
inferno	7–13	0.07	23%	21 Jul →
dust2	4–13	-0.03	29%	21 Jul →
dust2	13–11	0.05	32%	21 Jul →
ancient	13–6	0.05	23%	21 Jul →