c0st — CS2 Stats

76561197960372979[U:1:107251]Steam profile ↗✓ No bans

380Tracked matches61%Win rate2025Tracked since

CSDB Rating5.4 DevelopingSupport

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim53

Positioning46

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY45–44–11Last 10045%Win rateWLLWWLLWWT

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +1.9pp headshot accuracy · −2ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 18%
Avg reaction 622ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 617ms

Last 20

9–9–2 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 618ms

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 (+2.5 against its own average).

Aim5.3

Utility7.0

Positioning4.6

Opening Duels0.5

Clutch6.0

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 66% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 628ms 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

Aim5.3

Positioning4.6

Utility7.0

Mechanics6.7

Opening Duels0.0

Win Impact8.6

Composite 5.4/10 (Developing), 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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time648ms−51ms

first ⅓ avg 700ms → last ⅓ avg 648ms

Headshot accuracy15.7%−2.0%

first ⅓ avg 17.6% → last ⅓ avg 15.7%

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

0.23Best match rating · 9–0 · nuke, 18 Aug →

45%Best headshot accuracy · 13–11 · dust2, 6 Jun →

438msFastest reaction time · 8–2 · inferno, 5 Jul →

13–2Biggest win · inferno, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

10–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 56% over 18dust2Weakest map · 34% over 35

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	35	12–23	34%	-0.01
inferno	B	25	12–13	48%	-0.02
cache	A	18	10–8	56%	-0.02
mirage	B	10	5–5	50%	-0.04
nuke	—	3	2–1	67%	0.06
anubis	—	2	1–1	50%	-0.03
office	—	2	2–0	100%	0.00
ancient	—	2	0–2	0%	-0.05
debris	—	1	0–1	0%	-0.04
vertigo	—	1	1–0	100%	0.09
train	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (34% over 35). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches

25%Win rate

1.10Avg K/D

91.5ADR

38%Headshot %

Clutches & streaks

50%1v1 clutch win

33%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	50%	1.32	17.5
Dust2	1	0%	0.67	10.0
Mirage	1	0%	1.12	18.0

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.

15.6%Headshot accuracy

30.2%Accuracy (enemy spotted)

32.1%Spray accuracy

80.1%Counter-strafing

9.6°Preaim

628msReaction time

28.2%T opening success

27.2%CT opening success

0.61Enemies flashed / flash

9.9%Flash assists

10.37HE damage / grenade

8.77Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 28.1941% — 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.

34% win rate across 35 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
dust2	13–3	0.10	15%	26 Sept →
cache	2–13	-0.04	15%	26 Sept →
inferno	3–13	-0.03	22%	26 Sept →
inferno	13–4	0.07	19%	26 Sept →
dust2	13–5	0.01	21%	26 Sept →
dust2	11–13	-0.05	6%	26 Sept →
dust2	9–13	0.03	17%	23 Sept →
inferno	13–2	-0.02	14%	23 Sept →
cache	13–9	-0.02	13%	23 Sept →
dust2	12–12	0.00	16%	23 Sept →
dust2	5–13	-0.04	16%	9 Sept →
inferno	6–13	-0.07	9%	9 Sept →
cache	13–8	-0.00	17%	9 Sept →
inferno	9–13	-0.08	9%	9 Sept →
dust2	12–12	-0.02	14%	9 Sept →
inferno	13–8	0.01	13%	6 Sept →
dust2	11–13	-0.03	15%	6 Sept →
cache	13–11	-0.08	10%	6 Sept →
dust2	13–7	-0.03	19%	6 Sept →
mirage	3–13	-0.12	18%	2 Sept →
anubis	8–13	-0.04	15%	2 Sept →
dust2	13–6	0.03	23%	2 Sept →
dust2	7–13	-0.03	34%	2 Sept →
dust2	13–8	-0.01	13%	18 Aug →
inferno	8–4	0.04	23%	18 Aug →
mirage	13–9	-0.04	17%	18 Aug →
debris	7–9	-0.04	21%	18 Aug →
vertigo	9–1	0.09	8%	18 Aug →
nuke	9–0	0.23	24%	18 Aug →
inferno	4–9	-0.16	8%	18 Aug →
dust2	13–11	-0.00	14%	17 Aug →
cache	9–1	0.00	10%	17 Aug →
nuke	13–3	-0.02	9%	17 Aug →
anubis	13–11	-0.01	18%	17 Aug →
inferno	7–13	-0.05	20%	17 Aug →
cache	8–13	-0.04	12%	17 Aug →
inferno	12–12	-0.04	7%	30 Jul →
mirage	13–6	-0.04	11%	30 Jul →
dust2	13–11	-0.04	7%	25 Jul →
dust2	9–13	-0.03	11%	22 Jul →
mirage	13–2	0.04	17%	22 Jul →
mirage	8–13	-0.05	25%	22 Jul →
inferno	13–10	-0.01	13%	22 Jul →
cache	13–11	-0.05	40%	22 Jul →
dust2	12–12	0.02	10%	20 Jul →
dust2	2–13	-0.10	12%	19 Jul →
inferno	13–9	0.02	24%	19 Jul →
cache	9–13	-0.03	12%	19 Jul →
dust2	10–13	-0.07	18%	19 Jul →
cache	13–9	-0.07	8%	19 Jul →
mirage	5–13	-0.03	24%	15 Jul →
dust2	6–13	-0.08	14%	15 Jul →
inferno	10–13	-0.03	21%	15 Jul →
inferno	13–9	0.02	15%	11 Jul →
cache	12–12	-0.05	26%	11 Jul →
mirage	13–6	-0.02	5%	11 Jul →
dust2	7–13	-0.09	14%	11 Jul →
inferno	0–13	-0.08	8%	5 Jul →
cache	13–5	0.05	16%	5 Jul →
dust2	3–13	-0.03	20%	5 Jul →
inferno	8–2	-0.03	23%	5 Jul →
office	13–8	-0.02	31%	30 Jun →
office	13–3	0.02	25%	30 Jun →
cache	13–10	0.03	19%	30 Jun →
dust2	12–12	-0.00	19%	30 Jun →
inferno	6–13	-0.06	38%	30 Jun →
inferno	13–5	-0.02	12%	21 Jun →
cache	13–2	-0.01	19%	21 Jun →
nuke	2–13	-0.03	18%	21 Jun →
mirage	13–11	-0.05	11%	21 Jun →
dust2	12–12	0.02	30%	21 Jun →
train	3–13	-0.09	26%	13 Jun →
cache	11–13	-0.03	20%	13 Jun →
inferno	7–13	-0.07	7%	13 Jun →
dust2	7–13	-0.02	18%	13 Jun →
dust2	13–11	-0.00	10%	13 Jun →
cache	10–13	-0.07	12%	9 Jun →
dust2	9–13	-0.01	32%	9 Jun →
dust2	13–11	0.01	10%	7 Jun →
mirage	4–13	-0.07	12%	7 Jun →
ancient	8–13	-0.06	15%	7 Jun →
inferno	2–13	-0.10	14%	6 Jun →
dust2	13–11	-0.05	45%	6 Jun →
dust2	12–12	-0.02	10%	4 Jun →
inferno	13–3	0.02	22%	4 Jun →
cache	8–13	-0.10	20%	4 Jun →
dust2	6–13	0.00	4%	4 Jun →
dust2	12–12	-0.02	17%	3 Jun →
inferno	13–3	0.08	14%	3 Jun →
dust2	13–9	-0.03	12%	3 Jun →
inferno	1–13	-0.04	24%	3 Jun →
cache	2–13	-0.05	14%	3 Jun →
dust2	7–13	0.03	16%	3 Jun →
dust2	12–12	0.01	15%	24 May →
ancient	6–13	-0.04	17%	24 May →
cache	13–3	0.09	27%	24 May →
inferno	12–12	0.02	12%	24 May →
dust2	13–11	0.02	15%	24 May →
mirage	7–13	-0.01	23%	22 May →
inferno	13–7	-0.02	21%	22 May →