b0rschtiii — CS2 Stats

DE76561198200793274[U:1:240527546]Steam profile ↗✓ No bans

422Tracked matches54%Win rate2020Tracked since

CSDB Rating5.6 SolidPositional Player

Premier CS Rating19,208Top 50% of 200,982 CSDB-tracked playersPurple band · top ~11.6% of ranked players (population est.)

CSDB Leaderboard#91818 of 247855 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 422 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,208 +1,069 26 Apr – 9 Sept · 15 days played

20,113Peak Premier in tracked matches

26Days played since 2026-04-26

Premier CS Rating

689 below peak (19,897)
Next: Pink band at 20,000 — 792 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-09
Blue band first seen 2026-09-09

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

Aim81

Positioning44

Utility26

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateWLLWWLLWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.0pp headshot accuracy · −58ms reaction

Win rate 0pp 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 20%
Avg reaction 576ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 589ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 23%
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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim8.1

Utility2.6

Positioning4.4

Opening Duels2.5

Clutch3.8

Strong CT-side openerLimited utility dependence

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 ropz 91% playstyle similarity

Most alike: aim profile, utility contribution.

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

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

Positioning. Positioning trails aim by 37 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 48% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim8.1

Positioning4.4

Utility2.6

Mechanics6.9

Opening Duels2.2

Win Impact6.2

Composite 5.6/10 (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 rating-0.00−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time617ms+7ms

first ⅓ avg 610ms → last ⅓ avg 617ms

Headshot accuracy23.1%−2.2%

first ⅓ avg 25.3% → last ⅓ avg 23.1%

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 · 13–2 · inferno, 12 May →

45%Best headshot accuracy · 4–13 · overpass, 6 May →

469msFastest reaction time · 13–5 · ancient, 29 May →

13–0Biggest win · cache, 9 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak

9–3In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 75% over 20ancientWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	14–15	48%	0.01
cache	S	20	15–5	75%	0.03
inferno	S	17	12–5	71%	0.02
ancient	D	10	3–7	30%	-0.01
overpass	A	8	5–3	63%	0.03
dust2	C	7	3–4	43%	-0.01
anubis	A	7	4–3	57%	0.02
nuke	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

953Matches

51%Win rate

1.29Avg K/D

76.9ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

35%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	50%	1.00	15.6
Cache	21	67%	1.17	15.9
Inferno	19	53%	1.19	15.5
Overpass	11	82%	1.67	19.0
Dust2	11	36%	0.83	13.0
Ancient	9	67%	1.23	17.7
Nuke	2	50%	1.00	11.5

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.

23.4%Headshot accuracy

36.4%Accuracy (enemy spotted)

38.9%Spray accuracy

81.3%Counter-strafing

8.4°Preaim

621msReaction time

28.9%T opening success

48.0%CT opening success

0.43Enemies flashed / flash

2.7%Flash assists

6.21HE damage / grenade

1.81Flashes / 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.

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 0.4332 — below the 0.5 mark we flag
Grenade Lineups →
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 28.9255% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–5	-0.04	11%	29 May →
dust2	1–13	-0.12	25%	29 May →
mirage	10–13	-0.04	24%	29 May →
cache	13–9	0.06	20%	28 May →
mirage	13–3	0.02	18%	27 May →
ancient	6–13	0.01	33%	27 May →
anubis	10–13	-0.01	29%	27 May →
mirage	13–9	0.01	23%	25 May →
mirage	13–16	-0.01	20%	25 May →
dust2	7–13	-0.01	27%	25 May →
mirage	12–12	0.04	26%	22 May →
cache	13–9	0.02	38%	22 May →
cache	12–12	-0.03	19%	22 May →
mirage	16–14	0.04	24%	21 May →
cache	16–14	0.01	19%	21 May →
inferno	4–13	-0.05	29%	21 May →
cache	7–13	-0.06	17%	21 May →
overpass	13–9	0.01	22%	21 May →
dust2	11–13	-0.01	29%	19 May →
ancient	8–13	-0.09	17%	19 May →
mirage	13–5	0.03	26%	19 May →
inferno	13–9	0.02	31%	19 May →
mirage	13–10	0.04	16%	18 May →
ancient	3–13	-0.04	33%	18 May →
mirage	13–9	-0.01	27%	18 May →
anubis	13–5	0.00	28%	18 May →
overpass	10–13	0.06	28%	18 May →
inferno	13–4	-0.00	9%	18 May →
overpass	13–6	0.00	19%	17 May →
mirage	5–13	-0.04	18%	17 May →
inferno	16–19	0.06	12%	17 May →
mirage	13–7	0.07	29%	16 May →
dust2	13–8	-0.02	18%	16 May →
overpass	16–14	0.05	32%	16 May →
ancient	13–10	0.02	27%	16 May →
overpass	12–12	-0.05	16%	16 May →
mirage	9–13	0.04	34%	16 May →
cache	13–9	0.05	20%	16 May →
inferno	13–16	-0.02	26%	15 May →
anubis	15–15	0.01	22%	15 May →
mirage	13–11	0.03	29%	13 May →
nuke	2–13	-0.02	44%	13 May →
anubis	10–13	-0.01	16%	13 May →
anubis	13–3	-0.00	11%	13 May →
mirage	5–13	-0.05	29%	13 May →
inferno	13–11	-0.05	35%	13 May →
anubis	16–14	0.03	20%	12 May →
inferno	13–2	0.13	26%	12 May →
anubis	13–4	0.11	24%	12 May →
ancient	9–13	0.02	11%	12 May →
cache	13–7	-0.00	16%	11 May →
mirage	13–10	0.04	31%	11 May →
dust2	13–7	0.01	26%	11 May →
mirage	13–5	0.04	29%	11 May →
inferno	10–13	-0.06	9%	11 May →
cache	13–7	0.11	29%	10 May →
cache	13–2	0.12	21%	10 May →
mirage	13–8	0.04	14%	10 May →
inferno	13–10	0.01	3%	10 May →
ancient	10–13	0.03	25%	10 May →
cache	13–3	0.03	38%	10 May →
cache	13–2	0.10	24%	10 May →
ancient	12–12	-0.00	35%	9 May →
inferno	13–3	0.03	31%	9 May →
cache	10–13	-0.04	25%	9 May →
cache	13–0	0.03	19%	9 May →
mirage	21–25	-0.01	22%	9 May →
mirage	3–13	-0.01	18%	8 May →
inferno	13–4	0.05	30%	8 May →
dust2	9–13	0.02	32%	8 May →
mirage	5–13	-0.01	43%	8 May →
inferno	13–7	0.06	29%	8 May →
cache	11–13	0.05	23%	8 May →
ancient	13–11	0.03	18%	7 May →
mirage	8–13	-0.03	18%	7 May →
mirage	16–14	-0.00	26%	7 May →
overpass	4–13	0.03	45%	6 May →
mirage	3–13	0.01	12%	6 May →
mirage	13–7	0.02	22%	5 May →
overpass	13–7	0.01	21%	5 May →
cache	13–11	0.02	20%	5 May →
mirage	13–9	0.04	29%	5 May →
cache	13–5	0.06	23%	5 May →
inferno	13–10	0.04	31%	4 May →
dust2	13–4	0.04	29%	4 May →
ancient	12–16	0.02	26%	4 May →
inferno	16–13	0.09	29%	3 May →
cache	13–3	-0.02	13%	3 May →
cache	13–8	0.06	33%	29 Apr →
mirage	13–16	-0.01	24%	29 Apr →
cache	8–13	0.01	38%	29 Apr →
mirage	10–13	0.04	22%	28 Apr →
mirage	7–13	0.04	18%	27 Apr →
inferno	11–13	-0.01	15%	27 Apr →
mirage	4–13	-0.03	39%	27 Apr →
overpass	16–12	0.11	22%	27 Apr →
nuke	6–13	0.00	23%	26 Apr →
inferno	13–10	0.04	17%	26 Apr →
inferno	13–8	-0.04	28%	26 Apr →
cache	13–7	0.06	18%	26 Apr →