WobRock ✾ — CS2 Stats

76561198045192975[U:1:84927247]Steam profile ↗✓ No bans

2,240Tracked matches60%Win rate2021Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating22,492Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#10770 of 42414 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning56

Utility69

0–100 skill scores via Leetify.

Recent form

HOT51–40–9Last 10051%Win rateWWWWWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim6.5

Aggression6.0

Utility6.9

Positioning5.6

Opening Duels1.7

Clutch3.6

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 Twistzz 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

Reaction time. 567ms 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

Aim6.5

Positioning5.6

Utility6.9

Mechanics6.1

Opening Duels1.7

Win Impact8.3

Composite 6.1/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time559ms+16ms

first ⅓ avg 542ms → last ⅓ avg 559ms

Headshot accuracy14.2%+0.9%

first ⅓ avg 13.3% → last ⅓ avg 14.2%

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 — inferno 9–1

13–0Biggest win — cache

5Longest win streak

W5Current streak

5–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	17	10–7	59%	0.03
dust2	C	15	6–9	40%	0.00
inferno	D	15	4–11	27%	0.01
cache	B	13	7–6	54%	0.01
ancient	C	9	4–5	44%	0.00
anubis	A	8	5–3	63%	0.00
mirage	B	6	3–3	50%	-0.04
debris	—	4	4–0	100%	0.05
fachwerk	—	4	3–1	75%	0.01
eldorado	—	3	2–1	67%	0.00
shelter	—	2	1–1	50%	-0.03
overpass	—	2	1–1	50%	0.01
poseidon	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

349Matches

52%Win rate

1.16Avg K/D

83.8ADR

32%Headshot %

Clutches & streaks

38%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	29	62%	1.36	16.7
Inferno	24	58%	1.28	17.0
Mirage	14	43%	1.04	13.5
Nuke	13	69%	1.01	16.8
Ancient	10	30%	1.15	19.3
Vertigo	9	44%	1.44	18.4
Dust2	8	62%	1.05	16.3
Train	4	75%	1.21	16.3

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.

14.6%Headshot accuracy

37.6%Accuracy (enemy spotted)

40.3%Spray accuracy

77.3%Counter-strafing

12.2°Preaim

567msReaction time

30.5%T opening success

42.9%CT opening success

0.64Enemies flashed / flash

8.3%Flash assists

11.71HE damage / grenade

13.51Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2194° — above the 12° mark we flag
Aim Training →
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 14.6046% — below the 15% mark we flag
Aim Training →

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.

27% win rate across 15 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
cache	13–10	-0.06	14%	21 Aug →
dust2	13–7	0.04	12%	21 Aug →
debris	9–5	0.12	5%	8 Aug →
eldorado	9–5	-0.02	13%	8 Aug →
shelter	7–2	0.06	32%	8 Aug →
shelter	0–13	-0.12	11%	8 Aug →
fachwerk	13–10	0.01	18%	8 Aug →
fachwerk	8–13	-0.02	8%	8 Aug →
fachwerk	13–8	0.06	20%	8 Aug →
anubis	13–7	0.03	13%	7 Aug →
mirage	11–13	-0.06	20%	7 Aug →
ancient	13–3	-0.05	11%	7 Aug →
cache	13–9	0.01	20%	7 Aug →
nuke	6–13	0.03	11%	7 Aug →
inferno	7–13	-0.05	12%	7 Aug →
nuke	13–9	-0.02	20%	7 Aug →
nuke	13–6	0.10	7%	7 Aug →
fachwerk	13–10	-0.00	20%	1 Aug →
overpass	8–13	0.01	14%	1 Aug →
anubis	13–11	-0.07	7%	1 Aug →
inferno	10–13	0.04	12%	1 Aug →
nuke	13–7	0.05	21%	1 Aug →
nuke	10–13	0.00	18%	31 Jul →
cache	6–13	-0.04	13%	31 Jul →
cache	13–0	0.07	23%	31 Jul →
dust2	9–13	0.01	14%	31 Jul →
eldorado	8–8	-0.01	11%	31 Jul →
cache	13–9	0.01	10%	30 Jul →
anubis	13–1	0.15	15%	30 Jul →
nuke	13–2	0.03	5%	30 Jul →
dust2	12–16	-0.02	10%	30 Jul →
debris	9–3	-0.06	13%	30 Jul →
inferno	5–13	-0.00	18%	30 Jul →
nuke	13–9	-0.01	19%	29 Jul →
mirage	15–15	0.01	16%	29 Jul →
dust2	13–16	-0.04	14%	28 Jul →
anubis	7–13	-0.02	17%	28 Jul →
poseidon	6–9	-0.11	13%	28 Jul →
debris	9–3	-0.04	11%	28 Jul →
nuke	13–9	0.07	13%	25 Jul →
dust2	7–13	-0.00	26%	25 Jul →
nuke	12–12	0.03	21%	24 Jul →
cache	11–13	-0.02	8%	24 Jul →
mirage	16–13	-0.01	18%	24 Jul →
inferno	2–13	-0.04	22%	16 Jul →
cache	12–12	0.01	22%	16 Jul →
cache	3–13	0.00	0%	16 Jul →
nuke	13–7	0.12	18%	16 Jul →
inferno	15–15	-0.02	13%	16 Jul →
poseidon	9–4	0.04	7%	15 Jul →
inferno	9–1	0.27	23%	15 Jul →
inferno	9–13	-0.01	16%	12 Jul →
inferno	13–11	0.01	14%	12 Jul →
dust2	8–13	-0.06	10%	12 Jul →
eldorado	9–6	0.04	17%	10 Jul →
debris	9–2	0.17	23%	10 Jul →
dust2	11–13	-0.00	15%	5 Jul →
nuke	13–10	-0.04	12%	2 Jul →
dust2	7–13	-0.00	23%	2 Jul →
ancient	9–13	-0.06	8%	28 Jun →
anubis	13–10	-0.00	11%	24 Jun →
cache	13–3	0.11	14%	24 Jun →
cache	12–12	-0.02	11%	24 Jun →
inferno	11–13	-0.04	12%	23 Jun →
dust2	12–16	-0.06	25%	23 Jun →
cache	12–12	0.04	18%	23 Jun →
nuke	13–9	0.04	15%	22 Jun →
inferno	10–13	0.01	12%	22 Jun →
inferno	13–8	-0.04	10%	22 Jun →
mirage	9–13	-0.11	9%	21 Jun →
dust2	13–4	0.04	18%	21 Jun →
ancient	4–13	-0.08	11%	21 Jun →
inferno	13–16	0.01	15%	21 Jun →
anubis	11–13	-0.03	6%	20 Jun →
dust2	13–11	-0.02	24%	20 Jun →
dust2	13–8	0.01	18%	17 Jun →
anubis	10–13	-0.03	14%	17 Jun →
nuke	10–13	0.01	10%	17 Jun →
nuke	9–6	-0.03	6%	27 May →
ancient	13–16	0.01	14%	27 May →
inferno	15–15	0.03	7%	26 May →
anubis	13–3	-0.01	16%	25 May →
ancient	13–7	0.04	15%	25 May →
inferno	13–2	0.02	13%	25 May →
ancient	13–9	0.14	21%	24 May →
nuke	4–13	0.06	16%	24 May →
dust2	8–13	0.02	13%	23 May →
overpass	13–10	0.02	24%	23 May →
ancient	13–5	0.03	16%	21 May →
nuke	11–13	0.03	29%	21 May →
dust2	13–4	0.04	13%	19 May →
cache	13–10	0.05	10%	18 May →
nuke	10–13	-0.03	8%	17 May →
ancient	7–13	-0.07	15%	17 May →
inferno	15–15	-0.02	10%	17 May →
cache	13–5	0.00	0%	17 May →
ancient	9–13	0.02	7%	16 May →
mirage	16–14	-0.06	9%	16 May →
dust2	13–11	0.07	22%	15 May →
mirage	13–3	-0.00	11%	14 May →