boat — CS2 Stats

AZ76561198068010863[U:1:107745135]Steam profile ↗✓ No bans

2,203Tracked matches64%Win rate2020Tracked since

CSDB Rating6.7 SolidPositional Player

Premier CS Rating26,918Red band · top ~2.1% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning61

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLWTLLTWWWT

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −2.1pp headshot accuracy · −46ms reaction

Win rate down 40pp 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

1–3–1 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 551ms

Last 10

4–3–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 544ms

Last 20

12–4–4 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 567ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim6.9

Utility5.3

Positioning6.1

Opening Duels2.9

Clutch0.8

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 Twistzz 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

Strengths & areas to improve

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 583ms 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

Aim6.9

Positioning6.1

Utility5.3

Mechanics5.6

Opening Duels5.0

Win Impact9.7

Composite 6.7/10 (Solid), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time590ms−2ms

first ⅓ avg 592ms → last ⅓ avg 590ms

Headshot accuracy14.2%−4.1%

first ⅓ avg 18.3% → 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.

Personal bests

0.13Best match rating · 13–11 · dust2, 7 Nov →

44%Best headshot accuracy · 0–13 · office, 19 Sept →

352msFastest reaction time · 1–10 · dust2, 6 Sept →

13–0Biggest win · cache, 26 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak

10–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 78% over 9anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	16	9–7	56%	-0.01
office	C	15	6–9	40%	-0.00
dust2	B	13	6–7	46%	-0.02
nuke	B	13	6–7	46%	-0.01
cache	B	11	5–6	45%	-0.01
mirage	A	10	6–4	60%	-0.00
ancient	S	9	7–2	78%	-0.01
anubis	C	8	3–5	38%	-0.03
fachwerk	—	2	1–1	50%	0.00
overpass	—	1	1–0	100%	0.02
vertigo	—	1	0–1	0%	0.03
boulder	—	1	0–1	0%	-0.01

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.

Faceit stats

Combat

80Matches

48%Win rate

1.04Avg K/D

76.2ADR

40%Headshot %

Clutches & streaks

24%1v1 clutch win

19%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	15	53%	0.87	13.4
Mirage	11	27%	0.78	13.0
Inferno	10	70%	1.86	14.6
Anubis	7	43%	0.86	14.6
Ancient	6	67%	1.07	17.8
Dust2	5	20%	1.05	15.8
Vertigo	4	0%	0.66	12.0
Cache	3	67%	1.37	15.7

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.

14.1%Headshot accuracy

37.1%Accuracy (enemy spotted)

42.9%Spray accuracy

75.2%Counter-strafing

9.8°Preaim

583msReaction time

60.5%T opening success

39.8%CT opening success

0.46Enemies flashed / flash

5.5%Flash assists

8.43HE damage / grenade

12.38Flashes / 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.

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 14.0926% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4642 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.7607% — 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
anubis	12–16	-0.02	17%	13 Nov →
inferno	13–11	-0.04	8%	13 Nov →
dust2	12–12	-0.04	12%	13 Nov →
anubis	8–13	-0.04	13%	13 Nov →
inferno	10–13	-0.04	7%	12 Nov →
office	12–12	-0.01	31%	12 Nov →
inferno	13–5	0.02	14%	11 Nov →
mirage	13–7	-0.03	13%	11 Nov →
ancient	13–7	0.02	8%	11 Nov →
mirage	12–12	0.01	11%	8 Nov →
office	13–4	0.06	10%	8 Nov →
dust2	13–11	0.13	21%	7 Nov →
cache	11–13	-0.01	12%	7 Nov →
inferno	13–9	0.01	12%	5 Nov →
ancient	13–8	0.03	12%	3 Nov →
cache	13–7	-0.01	12%	3 Nov →
cache	13–6	-0.04	36%	2 Nov →
office	13–9	-0.07	20%	1 Nov →
dust2	12–12	-0.06	7%	1 Nov →
cache	13–5	-0.00	14%	26 Oct →
anubis	13–7	0.00	10%	22 Oct →
ancient	13–6	-0.04	8%	22 Oct →
dust2	3–13	-0.10	23%	21 Oct →
dust2	5–13	-0.02	18%	17 Oct →
office	12–12	0.02	14%	17 Oct →
fachwerk	11–13	-0.02	10%	17 Oct →
cache	10–13	0.01	10%	17 Oct →
inferno	5–13	-0.00	15%	14 Oct →
fachwerk	13–4	0.02	17%	12 Oct →
office	13–5	0.05	11%	12 Oct →
cache	5–13	-0.04	18%	1 Oct →
inferno	16–14	-0.00	14%	30 Sept →
inferno	13–8	-0.01	11%	30 Sept →
dust2	7–13	-0.08	11%	29 Sept →
anubis	2–3	-0.06	0%	29 Sept →
office	11–13	0.00	17%	27 Sept →
office	12–12	0.04	27%	27 Sept →
overpass	13–7	0.02	18%	26 Sept →
office	5–13	-0.00	17%	26 Sept →
mirage	13–2	0.07	10%	26 Sept →
cache	13–0	-0.03	24%	26 Sept →
nuke	13–10	-0.02	12%	26 Sept →
ancient	1–3	0.07	33%	26 Sept →
anubis	16–14	-0.01	18%	26 Sept →
nuke	13–11	-0.02	12%	26 Sept →
nuke	13–10	0.01	13%	25 Sept →
mirage	6–13	-0.02	20%	25 Sept →
cache	7–13	-0.04	6%	25 Sept →
inferno	5–13	-0.05	14%	20 Sept →
dust2	13–7	0.02	14%	19 Sept →
mirage	7–13	-0.03	19%	19 Sept →
ancient	13–5	-0.01	6%	19 Sept →
office	4–13	-0.13	33%	19 Sept →
mirage	13–9	0.04	18%	19 Sept →
cache	13–8	-0.04	23%	19 Sept →
nuke	1–8	-0.14	9%	19 Sept →
ancient	13–9	0.01	7%	19 Sept →
office	2–13	-0.03	21%	19 Sept →
office	12–12	-0.04	18%	19 Sept →
office	0–13	-0.06	44%	19 Sept →
inferno	13–11	0.02	30%	15 Sept →
anubis	8–13	-0.06	14%	15 Sept →
dust2	13–11	-0.03	16%	9 Sept →
nuke	6–13	-0.03	19%	9 Sept →
inferno	4–13	-0.07	32%	9 Sept →
nuke	9–13	0.01	19%	7 Sept →
nuke	16–12	0.02	14%	7 Sept →
dust2	13–6	0.01	13%	7 Sept →
inferno	11–13	0.01	18%	7 Sept →
inferno	13–11	0.01	22%	7 Sept →
dust2	9–13	0.01	19%	7 Sept →
cache	9–13	0.02	16%	7 Sept →
inferno	10–13	0.00	15%	7 Sept →
anubis	9–13	-0.05	21%	6 Sept →
vertigo	7–13	0.03	11%	6 Sept →
office	13–4	0.00	31%	6 Sept →
boulder	7–13	-0.01	18%	6 Sept →
nuke	7–13	-0.00	14%	6 Sept →
nuke	7–13	-0.01	15%	6 Sept →
dust2	1–10	-0.07	25%	6 Sept →
nuke	14–16	-0.01	16%	6 Sept →
mirage	7–13	-0.02	30%	6 Sept →
cache	3–13	0.05	29%	6 Sept →
office	13–9	0.07	13%	5 Sept →
inferno	14–16	-0.02	19%	5 Sept →
nuke	13–6	-0.03	24%	5 Sept →
anubis	13–4	-0.02	22%	5 Sept →
inferno	13–11	0.04	20%	5 Sept →
ancient	13–3	-0.02	18%	5 Sept →
ancient	16–13	-0.07	4%	5 Sept →
dust2	13–11	-0.04	21%	5 Sept →
mirage	13–9	0.06	17%	5 Sept →
dust2	13–10	-0.03	13%	5 Sept →
office	13–6	0.03	17%	5 Sept →
inferno	13–3	-0.02	25%	31 Aug →
mirage	13–9	-0.10	10%	31 Aug →
ancient	2–13	-0.07	22%	31 Aug →
nuke	6–13	-0.00	15%	30 Aug →
nuke	7–2	0.06	9%	30 Aug →
mirage	7–4	-0.02	21%	30 Aug →