rodger — CS2 Stats

ZA76561198290374213[U:1:330108485]Steam profile ↗✓ No bans

1,263Tracked matches71%Win rate2020Tracked since

7,158Hours in CS24Hrs last 2 wks

CSDB Rating8.3 StrongAggressive Rifler

Premier CS Rating28,723Top 5% of 819 CSDB-tracked playersRed band · top ~1.2% of ranked players (population est.)

CSDB Leaderboard#43 of 3207 tracked

Ladder ranks via Leetify

Rating over time

28,723Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 28,723
Next: Gold band at 30,000 — 1,277 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim93

Positioning68

Utility66

0–100 skill scores via Leetify.

Recent form

HOT73–24–3Last 10073%Win rateLWLWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating

Player DNA

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

Aim9.3

Aggression9.1

Utility6.6

Positioning6.8

Opening Duels4.6

Clutch4.6

Sharp aimerExcellent 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.

Your pro match

Plays most like jL 98% playstyle similarity

Most alike: aim profile, 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

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

Aim9.3

Positioning6.8

Utility6.6

Mechanics8.5

Opening Duels4.6

Win Impact10.0

Composite 8.3/10 (Strong), 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 rating0.06+0.02

first ⅓ avg 0.04 → last ⅓ avg 0.06

Reaction time534ms−67ms

first ⅓ avg 601ms → last ⅓ avg 534ms

Headshot accuracy23.5%−3.1%

first ⅓ avg 26.6% → last ⅓ avg 23.5%

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 — mirage 13–9

13–1Biggest win — cache

8Longest win streak

5–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 77% over 30infernoWeakest map · 63% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	30	23–7	77%	0.03
mirage	S	27	20–7	74%	0.05
cache	S	17	13–4	76%	0.06
inferno	A	16	10–6	63%	0.03
anubis	A	8	5–3	63%	0.05
boulder	—	1	1–0	100%	0.17
nuke	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (63% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

302,102Lifetime kills

1.19K/D · Top 25% of tracked players

11,262Matches

47.6%Match win rate · Top 50% of tracked players

52.5%Headshot % · Top 25% of tracked players

20.0%Shot accuracy · Top 5% of tracked players

46,950MVPs

5,111Hours (in match)

18,723Bombs planted

9,477Bombs defused

Most-used weapons

AK-47115,127

M4A4 / M4A1-S55,774

AWP32,082

P2000 / USP-S21,097

Desert Eagle15,214

Glock-1814,044

UMP-455,484

SG 5534,469

AUG4,273

MAC-102,902

Lifetime map wins

26,375inferno

23,192dust2

8,432train

4,414vertigo

4,274nuke

3,029cbble

251lake

83office

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

Faceit stats

Combat

385Matches

58%Win rate

1.17Avg K/D

85.1ADR

52%Headshot %

Clutches & streaks

43%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	12	58%	1.56	16.1
Dust2	11	55%	1.21	17.4
Mirage	9	56%	1.42	16.9
Anubis	5	60%	1.17	22.2
Ancient	4	75%	1.54	15.0
Nuke	3	67%	1.06	13.3
Cache	1	0%	1.00	17.0

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.

23.2%Headshot accuracy

41.9%Accuracy (enemy spotted)

41.8%Spray accuracy

88.2%Counter-strafing

9.2°Preaim

528msReaction time

44.6%T opening success

52.1%CT opening success

0.61Enemies flashed / flash

13.5%Flash assists

15.34HE damage / grenade

8.75Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	0.06	24%	24 Aug →
dust2	13–4	0.00	26%	24 Aug →
inferno	11–13	0.07	15%	23 Aug →
cache	13–1	0.10	19%	23 Aug →
mirage	13–1	0.11	23%	23 Aug →
inferno	13–4	0.05	24%	23 Aug →
dust2	13–6	0.05	19%	23 Aug →
cache	13–1	0.13	34%	23 Aug →
dust2	13–4	0.14	29%	22 Aug →
cache	13–8	0.14	27%	22 Aug →
dust2	9–13	0.08	27%	22 Aug →
boulder	13–3	0.17	19%	22 Aug →
mirage	15–15	0.01	31%	20 Aug →
cache	11–13	0.01	16%	20 Aug →
mirage	13–10	0.02	10%	20 Aug →
dust2	13–9	0.04	21%	20 Aug →
anubis	11–13	-0.01	29%	20 Aug →
mirage	13–9	0.00	30%	19 Aug →
dust2	15–15	0.03	19%	18 Aug →
inferno	1–13	-0.03	20%	18 Aug →
mirage	13–7	0.05	20%	17 Aug →
anubis	13–4	0.05	26%	17 Aug →
inferno	13–8	0.03	21%	17 Aug →
cache	13–10	0.01	22%	17 Aug →
dust2	13–6	0.00	24%	17 Aug →
mirage	13–6	0.02	28%	17 Aug →
inferno	9–13	0.04	18%	16 Aug →
cache	13–3	0.06	15%	16 Aug →
anubis	13–3	0.10	39%	16 Aug →
mirage	7–13	0.09	25%	16 Aug →
anubis	8–13	0.11	30%	16 Aug →
dust2	13–5	0.12	29%	16 Aug →
mirage	13–10	0.11	17%	10 Aug →
dust2	13–2	0.02	14%	10 Aug →
mirage	6–13	-0.01	26%	10 Aug →
cache	13–7	0.05	32%	10 Aug →
dust2	10–13	0.10	25%	8 Aug →
dust2	9–13	0.01	23%	8 Aug →
dust2	13–7	0.01	26%	7 Aug →
mirage	0–13	-0.02	30%	7 Aug →
dust2	13–7	0.07	30%	7 Aug →
dust2	13–4	-0.03	29%	5 Aug →
anubis	13–1	0.03	25%	5 Aug →
mirage	13–6	0.04	32%	5 Aug →
anubis	19–17	0.04	16%	5 Aug →
inferno	13–4	-0.01	19%	5 Aug →
inferno	13–8	0.04	30%	5 Aug →
inferno	12–16	0.03	17%	3 Aug →
mirage	13–6	-0.05	10%	3 Aug →
cache	3–13	-0.06	17%	3 Aug →
dust2	13–4	0.08	37%	2 Aug →
mirage	13–2	0.02	17%	2 Aug →
mirage	13–9	0.22	31%	2 Aug →
dust2	11–1	0.04	39%	2 Aug →
inferno	10–13	0.06	23%	2 Aug →
cache	13–8	0.03	23%	31 Jul →
inferno	13–9	0.02	24%	30 Jul →
anubis	13–6	0.10	25%	30 Jul →
dust2	13–3	-0.04	30%	29 Jul →
dust2	13–11	0.05	29%	28 Jul →
cache	13–8	0.14	26%	28 Jul →
cache	15–15	0.07	20%	28 Jul →
dust2	13–9	0.01	25%	27 Jul →
inferno	13–8	-0.00	18%	27 Jul →
cache	13–5	0.15	35%	27 Jul →
cache	13–1	0.12	34%	27 Jul →
mirage	5–13	-0.00	25%	27 Jul →
anubis	8–13	-0.00	23%	26 Jul →
mirage	13–10	0.06	22%	24 Jul →
dust2	10–13	0.01	20%	24 Jul →
mirage	13–3	0.11	20%	24 Jul →
dust2	1–2	0.01	100%	23 Jul →
dust2	13–1	0.04	25%	23 Jul →
inferno	13–5	-0.01	20%	23 Jul →
mirage	13–7	0.05	13%	23 Jul →
dust2	13–6	0.06	35%	22 Jul →
cache	6–13	-0.04	26%	20 Jul →
dust2	13–6	-0.01	24%	20 Jul →
mirage	16–13	-0.01	16%	19 Jul →
inferno	13–9	0.06	10%	19 Jul →
cache	13–5	0.02	23%	19 Jul →
mirage	13–7	0.09	28%	19 Jul →
mirage	13–3	0.08	37%	17 Jul →
dust2	13–6	0.02	26%	17 Jul →
mirage	14–16	0.04	24%	16 Jul →
dust2	13–9	-0.03	22%	16 Jul →
cache	13–7	0.00	17%	16 Jul →
dust2	13–4	-0.03	18%	16 Jul →
mirage	13–11	-0.01	19%	12 Jul →
cache	13–8	0.06	23%	12 Jul →
dust2	13–10	-0.01	23%	12 Jul →
inferno	13–11	0.03	22%	12 Jul →
mirage	13–7	0.08	30%	12 Jul →
inferno	14–16	0.09	23%	11 Jul →
inferno	13–11	0.09	31%	11 Jul →
mirage	13–6	0.05	35%	11 Jul →
dust2	10–13	0.08	36%	10 Jul →
mirage	13–5	0.14	34%	10 Jul →
dust2	13–3	0.04	36%	9 Jul →
nuke	13–4	0.03	21%	9 Jul →