Thetawave — CS2 Stats

BE76561197994983005[U:1:34717277]Steam profile ↗✓ No bans

766Tracked matches60%Win rate2021Tracked since

CSDB Rating6.4 SolidSupport

CSDB Leaderboard#83685 of 251410 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Rating over time

19,917Peak Premier in tracked matches

38Days played since 2026-07-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim68

Positioning61

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateLLWLLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · +6ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 524ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 553ms

Last 20

10–10 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 16%
Avg reaction 550ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.8

Utility6.6

Positioning6.1

Opening Duels3.1

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.8

Positioning6.1

Utility6.6

Mechanics6.3

Opening Duels3.3

Win Impact8.3

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time546ms−130ms

first ⅓ avg 676ms → last ⅓ avg 546ms

Headshot accuracy15.8%−4.3%

first ⅓ avg 20.1% → last ⅓ avg 15.8%

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.

Personal bests

0.19Best match rating · 1–12 · dust2, 17 Aug →

48%Best headshot accuracy · 3–13 · inferno, 9 Oct →

391msFastest reaction time · 13–9 · inferno, 18 Sept →

13–0Biggest win · dust2, 11 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

3–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 48% over 23dust2Weakest map · 39% over 49

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	49	19–30	39%	0.03
inferno	B	23	11–12	48%	0.02
cache	B	20	9–11	45%	0.02
ancient	—	2	0–2	0%	-0.01
nuke	—	2	2–0	100%	0.01
anubis	—	2	0–2	0%	0.05
overpass	—	1	0–1	0%	-0.02
mirage	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 49). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

275Matches

59%Win rate

1.39Avg K/D

89.0ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	60	70%	1.30	17.1
Inferno	48	65%	1.55	18.9
Overpass	13	38%	1.55	21.3
Nuke	11	55%	1.61	16.1
Anubis	11	73%	1.33	17.4
Vertigo	8	62%	1.61	19.9
Ancient	6	50%	1.25	15.8
Train	5	60%	2.20	20.2

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.

16.0%Headshot accuracy

32.7%Accuracy (enemy spotted)

34.7%Spray accuracy

78.6%Counter-strafing

9.0°Preaim

547msReaction time

48.3%T opening success

38.3%CT opening success

0.68Enemies flashed / flash

5.8%Flash assists

11.69HE damage / grenade

10.25Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.2808% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 49 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.07	11%	12 Oct →
dust2	2–10	-0.05	15%	12 Oct →
cache	13–11	0.02	11%	12 Oct →
dust2	9–13	0.03	18%	11 Oct →
dust2	7–13	0.13	16%	11 Oct →
inferno	13–10	0.03	12%	11 Oct →
cache	13–10	0.01	18%	11 Oct →
ancient	6–13	-0.01	10%	11 Oct →
cache	7–13	-0.02	15%	10 Oct →
dust2	13–3	0.05	21%	10 Oct →
dust2	13–9	-0.02	14%	10 Oct →
dust2	13–8	0.08	15%	9 Oct →
nuke	13–4	-0.00	6%	9 Oct →
inferno	3–13	0.10	48%	9 Oct →
dust2	13–6	0.01	16%	9 Oct →
inferno	13–11	-0.05	9%	9 Oct →
dust2	13–7	-0.01	13%	9 Oct →
dust2	10–13	0.03	21%	8 Oct →
dust2	3–13	-0.00	13%	8 Oct →
dust2	11–13	0.07	20%	7 Oct →
inferno	13–6	0.14	13%	6 Oct →
overpass	7–9	-0.02	19%	5 Oct →
nuke	13–8	0.02	15%	2 Oct →
cache	13–2	0.01	9%	2 Oct →
dust2	9–13	0.08	21%	2 Oct →
dust2	13–5	0.05	16%	1 Oct →
inferno	13–11	0.04	19%	1 Oct →
cache	13–10	-0.01	24%	28 Sept →
dust2	13–7	0.09	18%	28 Sept →
dust2	13–9	0.00	13%	28 Sept →
dust2	11–13	-0.00	13%	23 Sept →
dust2	13–10	0.08	21%	19 Sept →
inferno	5–13	-0.09	0%	19 Sept →
dust2	7–13	-0.01	15%	19 Sept →
inferno	13–2	0.09	42%	19 Sept →
inferno	8–13	0.01	33%	19 Sept →
mirage	0–4	-0.07	0%	19 Sept →
dust2	3–13	0.03	17%	19 Sept →
dust2	6–13	-0.01	16%	18 Sept →
cache	13–10	-0.01	8%	18 Sept →
inferno	13–9	0.04	23%	18 Sept →
cache	13–8	0.00	26%	18 Sept →
dust2	7–13	0.03	20%	17 Sept →
dust2	6–13	0.09	16%	17 Sept →
inferno	1–9	0.05	5%	17 Sept →
dust2	6–1	0.06	31%	16 Sept →
dust2	13–5	0.09	33%	16 Sept →
cache	12–12	0.17	21%	16 Sept →
dust2	2–13	-0.02	21%	16 Sept →
dust2	3–13	0.07	32%	16 Sept →
inferno	4–13	0.01	32%	13 Sept →
cache	5–13	0.03	29%	13 Sept →
dust2	13–9	0.02	12%	11 Sept →
inferno	2–8	0.05	15%	11 Sept →
inferno	13–10	-0.04	18%	10 Sept →
dust2	8–13	0.03	23%	10 Sept →
anubis	3–5	0.13	20%	6 Sept →
inferno	5–13	-0.01	26%	6 Sept →
inferno	13–5	0.07	12%	6 Sept →
dust2	13–9	0.06	10%	4 Sept →
cache	5–13	-0.04	5%	4 Sept →
dust2	8–13	0.05	16%	4 Sept →
inferno	3–13	-0.06	15%	4 Sept →
inferno	4–13	0.00	23%	3 Sept →
cache	10–13	0.00	14%	3 Sept →
inferno	13–9	0.03	17%	3 Sept →
dust2	10–13	0.01	31%	1 Sept →
cache	13–6	-0.01	18%	1 Sept →
dust2	10–13	-0.02	19%	25 Aug →
dust2	1–13	-0.08	22%	24 Aug →
dust2	13–2	0.06	38%	24 Aug →
cache	4–13	-0.07	20%	24 Aug →
cache	13–3	0.04	7%	23 Aug →
dust2	7–13	0.02	21%	23 Aug →
ancient	11–13	-0.02	20%	22 Aug →
cache	7–13	-0.01	14%	19 Aug →
cache	3–13	0.08	19%	19 Aug →
dust2	1–12	0.19	19%	17 Aug →
cache	10–13	0.01	29%	17 Aug →
dust2	4–13	0.04	28%	17 Aug →
inferno	13–2	0.08	26%	15 Aug →
inferno	9–13	0.04	10%	13 Aug →
dust2	2–13	-0.02	21%	13 Aug →
dust2	3–13	-0.05	36%	31 Jul →
dust2	13–5	0.16	22%	31 Jul →
dust2	3–6	0.02	27%	31 Jul →
dust2	0–13	-0.02	29%	31 Jul →
inferno	13–7	0.03	12%	28 Jul →
dust2	13–1	0.14	13%	28 Jul →
dust2	11–13	0.01	11%	15 Jul →
cache	12–12	0.08	11%	15 Jul →
inferno	12–12	0.02	23%	15 Jul →
dust2	10–13	0.09	19%	13 Jul →
cache	13–5	0.02	10%	12 Jul →
dust2	13–8	0.01	11%	12 Jul →
dust2	4–13	-0.08	16%	12 Jul →
cache	3–13	0.02	18%	11 Jul →
dust2	13–0	0.04	27%	11 Jul →
dust2	13–9	-0.03	28%	5 Jul →
anubis	5–13	-0.02	19%	5 Jul →