Gerodrix — CS2 Stats

76561198072330196[U:1:112064468]

422Tracked matches40%Win rate2020Tracked since

2,206Hours in CS1Hrs last 2 wks

CSDB Rating4.6 DevelopingHybrid Rifler

FaceitLevel 5 · 1,103 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning47

Utility38

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLLWLWLLLWL

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

Player DNA

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

Aim7.1

Aggression5.3

Utility3.8

Positioning4.7

Opening Duels1.8

Clutch3.0

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 86% playstyle similarity

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

Where you differ: lower aim profile; 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

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

Reaction time. 660ms 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

Aim7.1

Positioning4.7

Utility3.8

Mechanics7.8

Opening Duels1.8

Win Impact1.7

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time661ms−24ms

first ⅓ avg 684ms → last ⅓ avg 661ms

Headshot accuracy20.3%+2.9%

first ⅓ avg 17.4% → last ⅓ avg 20.3%

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.

Highlights

0.14Best rating — anubis 13–8

13–1Biggest win — dust2

4Longest win streak

L2Current streak

6–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	30	13–17	43%	-0.00
dust2	C	20	8–12	40%	0.02
inferno	A	18	10–8	56%	-0.01
nuke	B	14	7–7	50%	0.02
anubis	C	8	3–5	38%	0.01
overpass	S	5	4–1	80%	0.01
ancient	C	5	2–3	40%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,286Lifetime kills

1.04K/D

3,047Matches

45.2%Match win rate

43.6%Headshot %

15.8%Shot accuracy · Top 25% of tracked players

7,256MVPs

1,240Hours (in match)

3,020Bombs planted

659Bombs defused

Most-used weapons

AK-4718,459

M4A4 / M4A1-S10,055

AWP5,423

Desert Eagle3,621

P2000 / USP-S3,130

Glock-182,384

UMP-452,169

XM10141,153

SSG 081,018

MAC-10839

Lifetime map wins

6,732dust2

4,753inferno

1,527nuke

931train

653cbble

409vertigo

79assault

47lake

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

Faceit stats

Combat

90Matches

52%Win rate

1.12Avg K/D

96.3ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

27%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	43%	1.19	17.6
Inferno	10	70%	1.50	22.3
Dust2	9	56%	1.08	17.9
Anubis	7	57%	1.29	15.1
Ancient	5	40%	1.00	21.2
Nuke	4	50%	1.24	26.5
Overpass	3	67%	1.31	19.7
Train	2	50%	1.49	24.5

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.

20.0%Headshot accuracy

34.4%Accuracy (enemy spotted)

38.8%Spray accuracy

85.2%Counter-strafing

9.6°Preaim

660msReaction time

29.9%T opening success

44.6%CT opening success

0.53Enemies flashed / flash

6.2%Flash assists

6.38HE damage / grenade

5.65Flashes / 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 29.9302% — 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.

38% win rate across 8 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	14–16	-0.04	11%	27 Aug →
dust2	13–16	-0.01	24%	21 Jul →
mirage	13–10	0.03	21%	21 Jul →
inferno	14–16	-0.07	17%	2 Jul →
mirage	13–4	-0.08	9%	29 Jun →
nuke	10–13	-0.07	20%	27 Jun →
mirage	8–13	0.02	28%	25 Jun →
mirage	3–13	-0.11	38%	18 Jun →
nuke	13–10	0.02	18%	18 Jun →
mirage	5–13	-0.01	18%	14 Jun →
dust2	8–13	0.07	19%	14 Jun →
mirage	11–2	0.04	29%	14 Jun →
mirage	2–13	-0.10	50%	14 Jun →
mirage	8–13	0.00	29%	3 Jun →
anubis	9–13	-0.05	18%	1 Jun →
mirage	13–10	0.04	27%	1 Jun →
inferno	13–5	-0.03	16%	30 May →
mirage	13–10	-0.03	17%	12 May →
dust2	2–13	-0.00	14%	7 May →
mirage	11–13	-0.03	17%	30 Apr →
mirage	13–11	-0.05	21%	23 Apr →
dust2	7–13	-0.02	19%	19 Apr →
mirage	9–13	-0.02	14%	17 Apr →
nuke	9–13	-0.05	11%	11 Apr →
anubis	14–16	-0.01	15%	31 Mar →
nuke	13–6	-0.02	10%	25 Mar →
mirage	11–13	-0.04	23%	25 Mar →
overpass	13–9	0.04	17%	24 Mar →
dust2	10–4	0.12	28%	22 Mar →
inferno	13–4	0.06	22%	22 Mar →
inferno	13–6	-0.02	17%	21 Mar →
mirage	8–13	-0.01	15%	21 Mar →
nuke	12–16	0.01	17%	18 Mar →
mirage	15–15	-0.03	16%	12 Mar →
dust2	15–15	-0.03	23%	12 Mar →
dust2	11–13	0.00	19%	10 Mar →
inferno	13–10	0.02	11%	7 Mar →
nuke	13–5	0.10	31%	1 Mar →
mirage	13–10	0.10	23%	1 Mar →
inferno	8–13	-0.04	11%	27 Feb →
ancient	1–13	-0.04	23%	24 Feb →
inferno	13–9	0.04	13%	22 Feb →
mirage	13–8	0.07	20%	21 Feb →
inferno	13–8	0.04	5%	19 Feb →
dust2	15–15	0.05	13%	17 Feb →
mirage	10–13	-0.02	7%	14 Feb →
dust2	11–13	-0.01	15%	13 Feb →
ancient	5–13	-0.03	7%	12 Feb →
overpass	13–6	0.03	19%	12 Feb →
dust2	8–13	-0.01	10%	11 Feb →
dust2	7–13	-0.06	8%	11 Feb →
inferno	13–8	-0.06	12%	11 Feb →
anubis	15–15	-0.00	28%	10 Feb →
inferno	0–13	-0.10	0%	10 Feb →
mirage	13–7	0.06	18%	10 Feb →
dust2	13–2	0.01	9%	9 Feb →
inferno	16–14	0.01	14%	8 Feb →
dust2	9–13	-0.04	15%	8 Feb →
ancient	13–9	0.08	17%	8 Feb →
overpass	12–4	0.01	47%	8 Feb →
mirage	13–11	0.03	16%	8 Feb →
inferno	9–13	0.03	15%	8 Feb →
anubis	13–8	0.14	20%	6 Feb →
nuke	13–5	0.05	15%	6 Feb →
mirage	9–13	0.10	17%	6 Feb →
dust2	13–1	0.04	13%	5 Feb →
mirage	4–13	-0.02	23%	5 Feb →
inferno	7–13	-0.04	30%	5 Feb →
overpass	10–1	0.02	24%	5 Feb →
dust2	13–7	0.06	20%	5 Feb →
dust2	13–10	0.03	10%	4 Feb →
anubis	8–13	0.04	8%	3 Feb →
nuke	13–5	0.04	14%	2 Feb →
ancient	13–4	0.04	16%	2 Feb →
anubis	13–4	0.03	8%	2 Feb →
nuke	5–13	0.06	21%	2 Feb →
inferno	11–13	0.00	22%	1 Feb →
nuke	13–11	0.03	11%	1 Feb →
ancient	7–13	-0.01	18%	31 Jan →
mirage	13–4	0.04	13%	30 Jan →
mirage	13–7	0.03	12%	30 Jan →
anubis	11–13	0.04	19%	30 Jan →
inferno	16–13	-0.01	17%	30 Jan →
overpass	7–13	-0.06	18%	29 Jan →
mirage	5–13	-0.02	20%	29 Jan →
mirage	2–13	-0.02	18%	29 Jan →
nuke	13–7	0.03	17%	29 Jan →
nuke	10–13	0.09	20%	29 Jan →
dust2	7–13	0.01	15%	29 Jan →
inferno	4–13	-0.10	24%	28 Jan →
dust2	13–10	0.04	21%	28 Jan →
inferno	13–5	0.06	30%	28 Jan →
nuke	7–13	0.02	18%	27 Jan →
anubis	1–1	-0.14	0%	27 Jan →
mirage	16–14	0.06	12%	26 Jan →
nuke	10–13	0.01	25%	25 Jan →
inferno	7–13	-0.05	24%	25 Jan →
dust2	13–9	0.11	21%	25 Jan →
mirage	7–13	-0.08	15%	25 Jan →
dust2	13–9	0.07	15%	22 Jan →