Wotzy — CS2 Stats

KY76561198176999693[U:1:216733965]Steam profile ↗✓ No bans

1,496Tracked matches62%Win rate2020Tracked since

3,911Hours in CS

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating27,416Top 10% of 819 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#665 of 17704 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

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	53.4%	52.8%
Shot accuracy	18.8%	13.7%
Kill/death ratio	1.77	1.08
Match win rate	59.7%	49.2%

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Performance scores

Aim94

Positioning62

Utility51

0–100 skill scores via Leetify.

Recent form

COLD50–44–6Last 10050%Win rateLLLTWWLLLW

Last 10 vs previous 10: -50pp win rate · -0.04 avg rating

Player DNA

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

Aim9.4

Aggression10.0

Utility5.1

Positioning6.2

Opening Duels5.6

Clutch8.0

Sharp aimerStrong CT-side openerReliable in 1v1s

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 sh1ro 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 61% on CT to 44% 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

Aim9.4

Positioning6.2

Utility5.1

Mechanics7.1

Opening Duels5.6

Win Impact9.0

Composite 7.7/10 (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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time489ms−36ms

first ⅓ avg 525ms → last ⅓ avg 489ms

Headshot accuracy25.6%−3.8%

first ⅓ avg 29.4% → last ⅓ avg 25.6%

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

0.16Best rating — inferno 12–12

13–1Biggest win — cache

5Longest win streak

L3Current streak

5–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 75% over 8infernoWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	12–11	52%	0.03
inferno	C	20	7–13	35%	0.04
ancient	B	15	7–8	47%	0.03
nuke	B	11	5–6	45%	0.01
dust2	A	11	7–4	64%	0.01
cache	S	8	6–2	75%	0.05
anubis	A	8	5–3	63%	0.02
overpass	—	2	0–2	0%	0.06
alpine	—	1	0–1	0%	0.10
train	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

295,459Lifetime kills

1.77K/D · Top 5% of Level 10 players

8,780Matches

59.7%Match win rate · Top 5% of Level 10 players

53.4%Headshot % · Top 50% of Level 10 players

18.8%Shot accuracy · Top 10% of Level 10 players

45,511MVPs

3,911Hours (in match)

15,583Bombs planted

5,440Bombs defused

Most-used weapons

AK-47100,969

AWP49,085

M4A4 / M4A1-S42,421

Desert Eagle29,332

P2000 / USP-S24,501

Glock-1811,369

SSG 083,858

P2503,813

Knife2,558

MP92,462

Lifetime map wins

17,164inferno

12,906dust2

7,354nuke

6,744train

3,439cbble

3,383vertigo

574office

160lake

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

Faceit stats

Combat

353Matches

57%Win rate

1.31Avg K/D

89.2ADR

50%Headshot %

Clutches & streaks

60%1v1 clutch win

0%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	67%	1.36	18.4
Anubis	8	75%	1.59	19.3
Nuke	6	100%	1.86	17.8
Inferno	6	50%	1.04	15.2
Vertigo	6	17%	1.22	16.8
Ancient	4	75%	1.01	17.5

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.

27.1%Headshot accuracy

37.7%Accuracy (enemy spotted)

41.5%Spray accuracy

81.9%Counter-strafing

7.0°Preaim

483msReaction time

43.9%T opening success

60.8%CT opening success

0.50Enemies flashed / flash

4.3%Flash assists

5.82HE damage / grenade

8.36Flashes / match

Recommended for you

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.

35% win rate across 20 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
inferno	3–13	-0.09	16%	28 Aug →
cache	5–13	0.01	20%	28 Aug →
mirage	5–13	0.01	42%	22 Aug →
ancient	12–12	0.07	21%	21 Aug →
mirage	9–1	-0.10	14%	21 Aug →
cache	13–7	0.10	35%	16 Aug →
ancient	9–13	0.01	14%	15 Aug →
cache	8–13	0.02	41%	14 Aug →
mirage	7–13	-0.02	30%	7 Aug →
cache	13–9	0.06	26%	7 Aug →
inferno	13–2	0.10	23%	7 Aug →
nuke	13–8	0.02	31%	7 Aug →
mirage	10–13	0.12	17%	6 Aug →
nuke	13–5	0.02	16%	5 Aug →
inferno	5–13	-0.08	27%	4 Aug →
mirage	13–8	0.06	41%	30 Jul →
cache	13–1	0.10	16%	30 Jul →
anubis	13–10	0.03	31%	23 Jul →
mirage	13–8	-0.03	24%	23 Jul →
inferno	13–9	0.08	41%	17 Jul →
nuke	6–13	-0.00	24%	16 Jul →
nuke	4–13	0.01	27%	9 Jul →
ancient	13–7	-0.00	21%	9 Jul →
mirage	13–5	0.16	26%	9 Jul →
cache	13–8	0.02	35%	9 Jul →
dust2	13–8	0.04	23%	8 Jul →
mirage	10–13	0.07	34%	8 Jul →
inferno	13–3	0.07	24%	8 Jul →
ancient	13–8	0.05	30%	8 Jul →
anubis	13–8	-0.00	29%	6 Jul →
ancient	13–4	0.06	21%	6 Jul →
mirage	13–10	0.04	16%	6 Jul →
anubis	5–13	-0.00	11%	4 Jul →
mirage	13–5	0.02	17%	4 Jul →
nuke	13–8	0.03	22%	4 Jul →
ancient	15–15	0.07	31%	4 Jul →
ancient	6–13	-0.03	13%	3 Jul →
inferno	13–4	0.07	19%	3 Jul →
dust2	6–13	0.01	19%	3 Jul →
inferno	10–13	0.04	27%	3 Jul →
anubis	13–11	-0.00	25%	3 Jul →
mirage	4–13	-0.03	33%	3 Jul →
ancient	13–9	0.05	20%	3 Jul →
ancient	13–11	0.05	26%	3 Jul →
ancient	10–13	0.13	23%	2 Jul →
inferno	13–4	0.15	23%	2 Jul →
nuke	3–13	0.00	23%	2 Jul →
ancient	5–13	-0.01	26%	2 Jul →
dust2	8–13	-0.06	23%	2 Jul →
inferno	13–7	0.12	31%	2 Jul →
dust2	13–9	-0.01	18%	2 Jul →
ancient	11–13	-0.05	16%	2 Jul →
ancient	13–6	-0.01	13%	2 Jul →
mirage	8–13	-0.04	23%	2 Jul →
nuke	13–3	0.04	36%	1 Jul →
nuke	10–13	0.02	31%	1 Jul →
ancient	11–13	0.03	23%	1 Jul →
overpass	6–13	0.09	35%	1 Jul →
mirage	3–13	-0.08	29%	30 Jun →
mirage	11–13	0.00	28%	30 Jun →
dust2	13–6	-0.02	27%	30 Jun →
mirage	13–11	0.00	20%	30 Jun →
inferno	4–13	-0.01	32%	30 Jun →
mirage	13–4	0.11	23%	30 Jun →
inferno	13–6	-0.01	24%	30 Jun →
alpine	6–13	0.10	36%	29 Jun →
ancient	13–9	0.08	24%	29 Jun →
inferno	12–12	0.06	30%	29 Jun →
anubis	13–6	0.01	17%	29 Jun →
mirage	13–9	-0.05	34%	29 Jun →
dust2	9–13	-0.03	31%	29 Jun →
mirage	13–5	0.04	20%	29 Jun →
inferno	4–13	-0.05	33%	28 Jun →
inferno	14–16	0.04	32%	27 Jun →
nuke	13–9	0.05	21%	27 Jun →
inferno	13–16	0.03	25%	26 Jun →
anubis	8–13	0.01	43%	26 Jun →
inferno	3–13	0.10	21%	25 Jun →
cache	13–7	0.05	18%	25 Jun →
mirage	13–8	0.09	32%	25 Jun →
dust2	13–7	0.08	24%	25 Jun →
mirage	10–13	0.01	32%	25 Jun →
dust2	2–0	0.01	33%	25 Jun →
cache	13–10	0.03	35%	24 Jun →
inferno	3–13	-0.07	26%	24 Jun →
nuke	6–13	-0.01	33%	24 Jun →
mirage	11–13	0.10	39%	24 Jun →
nuke	7–13	-0.04	29%	22 Jun →
anubis	9–13	-0.07	20%	22 Jun →
mirage	12–12	0.11	27%	22 Jun →
inferno	12–12	0.16	35%	22 Jun →
train	13–8	0.05	31%	22 Jun →
overpass	4–13	0.03	23%	22 Jun →
dust2	8–13	-0.03	24%	22 Jun →
dust2	13–8	-0.02	33%	22 Jun →
inferno	12–12	-0.04	24%	22 Jun →
inferno	10–13	0.08	41%	21 Jun →
mirage	13–11	-0.00	37%	21 Jun →
dust2	13–8	0.12	37%	21 Jun →
anubis	13–6	0.16	27%	21 Jun →