derkoffer1 — CS2 Stats

76561198257247044[U:1:296981316]

2,405Tracked matches55%Win rate2023Tracked since

3,565Hours in CS56Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating25,335Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1245 of 8478 tracked

FaceitLevel 10 · 2,009 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

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	61.4%	52.8%
Shot accuracy	2.9%	13.7%
Kill/death ratio	0.77	1.08
Match win rate	49.1%	49.2%

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Performance scores

Aim78

Positioning46

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateWLLWLLLWWL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim7.8

Aggression5.9

Utility5.5

Positioning4.6

Opening Duels1.0

Clutch4.2

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 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim 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

Areas to improve

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

Reaction time. 555ms 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

Aim7.8

Positioning4.6

Utility5.5

Mechanics7.5

Opening Duels1.0

Win Impact6.7

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time558ms−67ms

first ⅓ avg 625ms → last ⅓ avg 558ms

Headshot accuracy14.8%−4.0%

first ⅓ avg 18.8% → last ⅓ avg 14.8%

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

0.17Best rating — cache 13–3

13–2Biggest win — mirage

8Longest win streak

7–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 67% over 18cacheWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	14–15	48%	-0.02
ancient	S	18	12–6	67%	0.02
cache	D	17	5–12	29%	-0.01
dust2	S	12	8–4	67%	-0.01
anubis	A	11	7–4	64%	0.02
nuke	A	8	5–3	63%	-0.02
inferno	—	4	2–2	50%	0.00
overpass	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Lifetime stats

112,532Lifetime kills

0.77K/D

3,326Matches

49.1%Match win rate

61.4%Headshot % · Top 25% of Level 10 players

2.9%Shot accuracy

7,209MVPs

6,562Hours (in match)

4,192Bombs planted

1,115Bombs defused

Most-used weapons

AK-4758,821

M4A4 / M4A1-S13,934

P2000 / USP-S10,001

Desert Eagle9,388

AWP3,912

Glock-182,817

MP92,055

Galil AR1,395

Knife1,300

MAC-101,247

Lifetime map wins

4,729dust2

2,889nuke

2,738inferno

1,646vertigo

1,002train

83cbble

68office

19italy

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

Faceit stats

Combat

1,638Matches

51%Win rate

1.08Avg K/D

74.2ADR

44%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	430	50%	1.02	14.9
Ancient	313	54%	1.05	14.3
Anubis	240	58%	1.25	16.2
Dust2	181	48%	1.08	14.5
Inferno	132	36%	1.09	14.5
Nuke	114	56%	1.02	14.2
Vertigo	86	56%	1.25	16.1
Train	42	57%	1.02	13.4

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.

14.7%Headshot accuracy

38.1%Accuracy (enemy spotted)

41.9%Spray accuracy

83.6%Counter-strafing

10.0°Preaim

555msReaction time

35.0%T opening success

32.7%CT opening success

0.51Enemies flashed / flash

6.3%Flash assists

8.19HE damage / grenade

9.50Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.6959% — below the 15% mark we flag
Aim Training →
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 34.9703% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.03	26%	27 Aug →
mirage	0–5	-0.10	13%	27 Aug →
cache	13–16	-0.07	7%	26 Aug →
mirage	16–13	-0.03	12%	23 Aug →
ancient	10–13	-0.01	14%	23 Aug →
cache	3–13	-0.05	4%	22 Aug →
anubis	14–16	-0.05	8%	22 Aug →
nuke	13–11	0.03	15%	18 Aug →
ancient	13–6	0.07	11%	18 Aug →
ancient	17–19	-0.02	8%	16 Aug →
ancient	4–13	-0.04	19%	16 Aug →
cache	11–13	-0.07	19%	16 Aug →
ancient	13–6	-0.05	6%	16 Aug →
dust2	7–5	-0.04	10%	15 Aug →
mirage	13–2	0.07	10%	15 Aug →
dust2	13–11	-0.07	7%	15 Aug →
cache	7–13	0.04	16%	10 Aug →
inferno	12–12	0.00	11%	10 Aug →
dust2	13–10	0.04	18%	1 Aug →
nuke	8–13	-0.05	10%	13 Jul →
ancient	8–4	0.10	11%	13 Jul →
anubis	13–7	0.07	15%	13 Jul →
cache	13–5	0.00	12%	13 Jul →
cache	13–10	-0.04	29%	10 Jul →
anubis	13–4	0.02	30%	10 Jul →
ancient	9–13	-0.00	24%	10 Jul →
mirage	3–13	0.00	24%	5 Jul →
anubis	11–9	0.04	15%	5 Jul →
cache	13–3	0.17	19%	5 Jul →
cache	10–13	0.02	26%	5 Jul →
cache	9–13	-0.01	12%	4 Jul →
mirage	12–12	-0.00	10%	4 Jul →
nuke	13–3	-0.03	18%	4 Jul →
dust2	6–13	-0.07	14%	4 Jul →
ancient	13–6	0.06	19%	4 Jul →
cache	4–13	-0.07	19%	29 Jun →
cache	13–4	0.07	17%	29 Jun →
dust2	8–13	0.02	18%	28 Jun →
ancient	13–6	-0.00	17%	28 Jun →
mirage	13–4	0.00	24%	28 Jun →
mirage	13–10	-0.05	13%	21 Jun →
mirage	13–4	0.03	7%	21 Jun →
mirage	13–7	0.02	7%	21 Jun →
mirage	13–9	0.01	14%	14 Jun →
dust2	13–6	0.00	30%	14 Jun →
anubis	13–11	0.07	15%	12 Jun →
mirage	15–15	-0.01	17%	10 Jun →
mirage	8–13	-0.01	10%	10 Jun →
dust2	13–9	-0.03	19%	7 Jun →
mirage	13–11	-0.02	16%	7 Jun →
cache	12–12	-0.03	3%	7 Jun →
mirage	13–8	-0.03	10%	7 Jun →
mirage	13–7	-0.03	11%	4 Jun →
dust2	10–13	0.03	14%	4 Jun →
cache	12–12	-0.03	23%	31 May →
anubis	5–13	-0.04	14%	31 May →
mirage	13–3	0.03	11%	29 May →
cache	6–13	-0.06	19%	29 May →
cache	12–12	-0.02	10%	25 May →
anubis	13–3	0.04	17%	25 May →
nuke	13–9	0.03	21%	25 May →
mirage	13–16	0.05	18%	25 May →
cache	4–13	0.01	24%	24 May →
ancient	13–8	-0.01	19%	24 May →
mirage	7–13	-0.06	17%	17 May →
mirage	6–13	0.02	17%	17 May →
mirage	13–6	-0.01	22%	15 May →
ancient	13–11	0.01	17%	14 May →
dust2	9–13	0.03	19%	14 May →
dust2	13–8	0.00	19%	8 May →
anubis	9–13	0.00	15%	8 May →
nuke	11–0	0.00	16%	8 May →
ancient	13–9	0.16	16%	3 May →
mirage	12–16	-0.01	8%	3 May →
ancient	13–10	-0.03	9%	1 May →
cache	13–10	-0.00	21%	1 May →
inferno	9–13	-0.03	26%	1 May →
mirage	16–13	0.02	14%	26 Apr →
mirage	13–10	-0.00	21%	26 Apr →
nuke	3–13	-0.06	25%	26 Apr →
inferno	13–9	0.01	14%	18 Apr →
ancient	15–15	0.04	19%	10 Apr →
mirage	8–13	-0.02	23%	10 Apr →
mirage	11–13	-0.04	13%	7 Apr →
anubis	5–13	0.01	13%	7 Apr →
mirage	4–13	-0.05	18%	4 Apr →
anubis	13–8	0.04	24%	29 Mar →
inferno	13–6	0.03	20%	29 Mar →
ancient	13–7	0.02	22%	29 Mar →
mirage	7–13	-0.08	7%	29 Mar →
overpass	13–6	0.00	17%	29 Mar →
mirage	11–13	-0.09	8%	29 Mar →
nuke	13–10	-0.02	33%	29 Mar →
dust2	13–8	-0.04	19%	29 Mar →
ancient	10–13	-0.02	9%	29 Mar →
anubis	13–10	0.07	38%	25 Mar →
ancient	13–3	0.03	24%	15 Mar →
mirage	5–13	-0.04	31%	13 Mar →
dust2	13–6	0.06	23%	4 Mar →
nuke	8–13	-0.07	20%	1 Mar →