OldStove — CS2 Stats

US76561198000672064[U:1:40406336]Steam profile ↗✓ No bans

1,772Tracked matches27%Win rate2020Tracked since

CSDB Rating3.0 Learning

Premier CS Rating14,590Blue band · top ~30.6% of ranked players (population est.)

CSDB Leaderboard#33404 of 53996 tracked

FaceitLevel 4 · 945 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim40

Positioning37

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY36–60–4Last 10036%Win rateWWLLWLLLWL

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Aim4.0

Aggression2.6

Utility4.1

Positioning3.7

Opening Duels0.0

Clutch0.0

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 NiKo 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0

Positioning3.7

Utility4.1

Mechanics3.4

Opening Duels0.5

Win Impact0.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time520ms−83ms

first ⅓ avg 602ms → last ⅓ avg 520ms

Headshot accuracy8.6%+0.4%

first ⅓ avg 8.2% → last ⅓ avg 8.6%

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

0.14Best rating — vertigo 9–6

13–4Biggest win — anubis

3Longest win streak

W2Current streak

5–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 56% over 9dust2Weakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	20	7–13	35%	-0.00
cache	C	17	7–10	41%	-0.04
ancient	C	17	6–11	35%	-0.03
dust2	D	15	4–11	27%	-0.04
inferno	C	14	5–9	36%	-0.05
anubis	A	9	5–4	56%	-0.02
vertigo	—	2	2–0	100%	0.09
debris	—	2	0–2	0%	0.01
mirage	—	2	0–2	0%	-0.04
shelter	—	1	0–1	0%	0.02
office	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

94Matches

50%Win rate

0.72Avg K/D

69.9ADR

30%Headshot %

Clutches & streaks

14%1v1 clutch win

19%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	26	38%	0.71	11.1
Nuke	20	55%	0.87	14.3
Anubis	16	44%	0.72	11.1
Inferno	13	46%	0.57	10.2
Train	6	67%	0.78	15.5
Mirage	5	40%	0.69	11.6
Dust2	4	75%	0.46	7.8
Overpass	3	100%	0.83	13.0

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.

8.8%Headshot accuracy

32.1%Accuracy (enemy spotted)

33.0%Spray accuracy

65.4%Counter-strafing

11.6°Preaim

518msReaction time

34.4%T opening success

23.8%CT opening success

0.51Enemies flashed / flash

4.3%Flash assists

10.90HE damage / grenade

2.00Flashes / 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 8.7817% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.0016 — below the 4 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 34.3805% — 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.

27% win rate across 15 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	9–6	0.05	6%	25 Aug →
cache	13–9	0.01	6%	25 Aug →
anubis	11–13	0.02	7%	25 Aug →
ancient	8–13	-0.04	10%	25 Aug →
cache	13–8	-0.03	7%	25 Aug →
ancient	7–13	-0.09	9%	24 Aug →
cache	4–13	0.01	12%	24 Aug →
nuke	5–13	-0.01	8%	24 Aug →
cache	13–7	-0.06	18%	24 Aug →
nuke	10–13	-0.04	8%	24 Aug →
ancient	16–14	0.02	4%	23 Aug →
vertigo	9–6	0.14	5%	21 Aug →
inferno	4–13	-0.05	22%	21 Aug →
anubis	3–13	0.01	2%	21 Aug →
dust2	4–13	-0.03	3%	21 Aug →
nuke	7–13	0.09	14%	18 Aug →
vertigo	13–7	0.05	0%	18 Aug →
cache	7–13	-0.03	5%	18 Aug →
debris	6–9	-0.02	7%	18 Aug →
mirage	4–13	-0.06	7%	16 Aug →
cache	6–13	-0.04	7%	16 Aug →
dust2	2–13	-0.08	19%	16 Aug →
ancient	9–13	-0.01	5%	16 Aug →
inferno	10–13	-0.06	4%	14 Aug →
dust2	11–13	0.01	19%	14 Aug →
cache	7–13	-0.10	2%	14 Aug →
nuke	13–10	0.07	18%	14 Aug →
dust2	13–5	0.00	13%	14 Aug →
nuke	8–13	-0.01	11%	14 Aug →
cache	6–13	-0.12	7%	14 Aug →
dust2	4–13	-0.11	0%	13 Aug →
anubis	8–13	-0.06	6%	10 Aug →
cache	13–9	-0.02	13%	10 Aug →
dust2	1–13	-0.11	0%	9 Aug →
inferno	4–13	-0.12	8%	8 Aug →
ancient	15–15	0.04	6%	7 Aug →
inferno	11–13	-0.01	10%	7 Aug →
nuke	4–3	0.04	4%	7 Aug →
inferno	5–13	-0.10	10%	7 Aug →
dust2	7–13	0.00	12%	7 Aug →
cache	3–13	-0.07	14%	7 Aug →
cache	13–9	0.09	7%	6 Aug →
cache	13–5	-0.01	11%	6 Aug →
inferno	9–13	-0.04	6%	5 Aug →
mirage	10–13	-0.01	14%	5 Aug →
dust2	6–13	-0.05	11%	4 Aug →
nuke	9–13	-0.03	7%	4 Aug →
ancient	13–10	-0.04	6%	3 Aug →
ancient	9–13	-0.03	4%	3 Aug →
cache	8–13	-0.09	9%	3 Aug →
ancient	7–13	-0.06	3%	2 Aug →
dust2	16–13	-0.04	21%	2 Aug →
nuke	13–11	-0.06	13%	2 Aug →
dust2	8–13	-0.09	13%	31 Jul →
inferno	9–13	-0.06	7%	31 Jul →
ancient	13–8	-0.06	2%	31 Jul →
nuke	13–9	0.00	8%	31 Jul →
ancient	13–8	-0.02	9%	31 Jul →
ancient	5–13	-0.04	7%	30 Jul →
nuke	11–13	-0.01	14%	29 Jul →
nuke	4–0	-0.05	0%	29 Jul →
nuke	4–13	-0.10	15%	29 Jul →
anubis	13–4	0.05	11%	29 Jul →
anubis	13–5	0.01	3%	29 Jul →
ancient	9–13	-0.06	3%	29 Jul →
anubis	13–10	-0.02	5%	29 Jul →
nuke	10–13	0.07	9%	29 Jul →
inferno	0–9	-0.23	9%	29 Jul →
nuke	10–13	-0.02	10%	29 Jul →
dust2	9–13	-0.07	11%	27 Jul →
ancient	13–5	0.05	5%	27 Jul →
nuke	6–13	0.06	10%	27 Jul →
ancient	10–13	-0.06	0%	27 Jul →
anubis	13–10	-0.01	7%	26 Jul →
ancient	13–9	0.02	8%	26 Jul →
shelter	12–12	0.02	5%	25 Jul →
debris	6–9	0.03	2%	25 Jul →
cache	13–11	-0.03	16%	25 Jul →
nuke	15–15	-0.03	3%	24 Jul →
inferno	13–4	0.07	7%	24 Jul →
cache	11–13	-0.04	11%	24 Jul →
office	10–13	-0.09	7%	24 Jul →
anubis	6–13	-0.11	0%	24 Jul →
ancient	4–13	-0.04	8%	24 Jul →
anubis	13–8	-0.06	8%	24 Jul →
inferno	13–10	-0.08	6%	23 Jul →
dust2	9–13	-0.09	24%	23 Jul →
ancient	8–13	-0.05	7%	22 Jul →
cache	10–13	-0.06	10%	22 Jul →
inferno	1–13	-0.10	10%	22 Jul →
inferno	13–10	-0.01	9%	21 Jul →
nuke	10–13	0.05	12%	21 Jul →
nuke	15–15	-0.02	5%	21 Jul →
dust2	13–8	0.01	8%	21 Jul →
dust2	13–8	-0.03	8%	21 Jul →
dust2	2–13	0.05	6%	21 Jul →
inferno	13–4	0.01	8%	15 Jul →
cache	14–16	-0.00	12%	15 Jul →
nuke	13–9	-0.02	4%	15 Jul →
nuke	13–11	-0.08	15%	15 Jul →