Pedi — CS2 Stats

76561198003171998[U:1:42906270]Steam profile ↗✓ No bans

1,263Tracked matches50%Win rate2021Tracked since

2,763Hours in CS88Hrs last 2 wks

CSDB Rating4.3 DevelopingPositional Player

Premier CS Rating12,549Blue band · top ~41.4% of ranked players (population est.)

CSDB Leaderboard#158338 of 242176 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−30Premier CS Rating · 12,579 → 12,549

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 14 days played since 11 Sep 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,549 +959 11 Sept – 24 Sept · 14 days played

14,042Peak Premier in tracked matches

14Days played since 2026-09-11

Premier CS Rating

1,114 below peak (13,663)
Next: Purple band at 15,000 — 2,451 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-09-13
Light Blue band first seen 2026-09-13

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	37.7%	41.9%	44.3%	6.6% short
Shot accuracy	9.5%	9.6%	11.8%	2.4% short
Kill/death ratio	0.63	0.98	1.03	0.40 short
Match win rate	45.7%	43.8%	45.2%	meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim28

Positioning64

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLWLLLWLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −2.7pp headshot accuracy · +17ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 12%
Avg reaction 644ms

Last 10

4–6 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 649ms

Last 20

10–10 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 640ms

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 (+1.4 against its own average).

Aim2.8

Utility4.4

Positioning6.4

Opening Duels4.1

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 m0NESY 54% 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. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.8

Positioning6.4

Utility4.4

Mechanics3.8

Opening Duels6.5

Win Impact5.0

Composite 4.3/10 (Developing), 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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time620ms+21ms

first ⅓ avg 599ms → last ⅓ avg 620ms

Headshot accuracy15.2%−0.6%

first ⅓ avg 15.8% → last ⅓ avg 15.2%

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

0.17Best match rating · 13–4 · mirage, 12 Sept →

27%Best headshot accuracy · 13–11 · nuke, 16 Sept →

438msFastest reaction time · 7–13 · mirage, 18 Sept →

13–1Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–8In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 73% over 15ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	10–15	40%	0.01
inferno	A	19	11–8	58%	0.02
nuke	S	15	11–4	73%	0.01
mirage	B	13	7–6	54%	0.00
ancient	C	11	4–7	36%	0.00
cache	C	9	4–5	44%	0.02
anubis	B	8	4–4	50%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,177Lifetime kills

0.63K/D

3,892Matches

45.7%Match win rate · Top 50% of Blue band

37.7%Headshot %

9.5%Shot accuracy

6,635MVPs

1,492Hours (in match)

2,506Bombs planted

632Bombs defused

Most-used weapons

M4A4 / M4A1-S9,698

AWP9,112

AK-478,372

P904,843

SSG 083,275

P2502,547

P2000 / USP-S2,406

Glock-182,386

MP71,835

Galil AR1,385

Lifetime map wins

10,046dust2

5,570inferno

4,466nuke

1,357vertigo

785train

614cbble

381office

99militia

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.9%Headshot accuracy

28.3%Accuracy (enemy spotted)

31.1%Spray accuracy

67.1%Counter-strafing

13.0°Preaim

622msReaction time

67.1%T opening success

45.1%CT opening success

0.48Enemies flashed / flash

4.3%Flash assists

8.30HE damage / grenade

5.76Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9598° — above the 12° mark we flag
Aim Training →
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 14.9468% — 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 0.4753 — below the 0.5 mark we flag
Grenade Lineups →

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.

36% win rate across 11 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
anubis	13–10	0.03	13%	24 Sept →
dust2	14–16	0.03	8%	24 Sept →
dust2	13–10	-0.02	14%	24 Sept →
cache	10–13	0.01	12%	24 Sept →
dust2	3–13	-0.05	13%	23 Sept →
cache	8–13	0.03	11%	23 Sept →
nuke	13–7	0.06	16%	23 Sept →
inferno	1–13	-0.07	16%	23 Sept →
ancient	13–16	-0.01	18%	22 Sept →
dust2	16–12	-0.05	13%	22 Sept →
ancient	13–11	0.03	14%	22 Sept →
cache	9–13	-0.04	15%	22 Sept →
inferno	13–10	-0.03	19%	21 Sept →
dust2	11–13	0.12	23%	21 Sept →
ancient	5–13	0.02	12%	21 Sept →
nuke	13–9	-0.02	7%	21 Sept →
mirage	6–13	-0.04	19%	21 Sept →
dust2	13–10	-0.01	16%	21 Sept →
inferno	13–4	-0.05	24%	20 Sept →
nuke	16–13	-0.02	14%	20 Sept →
inferno	9–13	0.00	20%	20 Sept →
mirage	13–7	-0.05	25%	20 Sept →
mirage	3–13	-0.07	7%	20 Sept →
mirage	11–3	-0.05	13%	20 Sept →
ancient	4–13	-0.02	19%	20 Sept →
dust2	13–8	0.03	14%	20 Sept →
dust2	13–16	-0.01	12%	19 Sept →
inferno	13–11	0.03	14%	19 Sept →
nuke	13–5	-0.00	22%	19 Sept →
dust2	10–13	-0.00	13%	19 Sept →
dust2	13–11	-0.01	23%	19 Sept →
mirage	13–8	-0.02	16%	19 Sept →
dust2	5–13	-0.02	11%	19 Sept →
dust2	12–16	0.00	13%	19 Sept →
dust2	13–3	0.02	12%	18 Sept →
cache	13–5	0.07	9%	18 Sept →
inferno	7–13	0.02	22%	18 Sept →
inferno	13–6	-0.00	18%	18 Sept →
nuke	13–11	0.07	14%	18 Sept →
ancient	11–13	0.02	18%	18 Sept →
inferno	16–14	0.04	15%	18 Sept →
mirage	7–13	0.01	15%	18 Sept →
inferno	16–13	0.01	15%	18 Sept →
nuke	13–11	0.13	19%	17 Sept →
dust2	6–13	0.02	8%	17 Sept →
ancient	13–5	0.16	18%	17 Sept →
anubis	4–13	-0.01	20%	17 Sept →
nuke	13–3	0.05	17%	17 Sept →
dust2	6–13	-0.08	7%	16 Sept →
anubis	3–13	-0.06	7%	16 Sept →
anubis	13–4	0.09	22%	16 Sept →
dust2	13–4	0.13	21%	16 Sept →
ancient	11–13	0.01	17%	16 Sept →
anubis	4–13	-0.04	17%	16 Sept →
dust2	13–5	0.04	19%	16 Sept →
cache	13–2	0.07	10%	16 Sept →
dust2	13–1	0.08	15%	16 Sept →
anubis	13–1	0.14	15%	16 Sept →
cache	13–9	-0.00	21%	16 Sept →
mirage	8–13	0.01	14%	16 Sept →
dust2	5–13	-0.02	12%	16 Sept →
nuke	13–11	-0.02	27%	16 Sept →
nuke	13–16	-0.00	11%	16 Sept →
ancient	16–12	-0.02	7%	16 Sept →
dust2	5–13	-0.01	19%	16 Sept →
mirage	13–11	-0.01	15%	16 Sept →
mirage	8–13	0.11	15%	16 Sept →
inferno	13–6	0.15	16%	15 Sept →
nuke	13–7	0.04	16%	14 Sept →
inferno	13–4	0.05	8%	14 Sept →
dust2	10–13	-0.06	26%	14 Sept →
inferno	6–13	0.02	11%	14 Sept →
anubis	13–8	0.07	22%	14 Sept →
inferno	13–6	0.05	22%	14 Sept →
nuke	13–10	-0.04	13%	14 Sept →
anubis	13–16	0.04	13%	14 Sept →
inferno	13–2	0.02	19%	13 Sept →
dust2	6–13	0.08	8%	13 Sept →
mirage	13–2	-0.02	21%	13 Sept →
inferno	10–13	0.00	12%	13 Sept →
cache	11–13	-0.03	15%	13 Sept →
nuke	14–16	0.00	18%	13 Sept →
inferno	15–15	0.04	14%	13 Sept →
cache	13–11	0.09	17%	13 Sept →
mirage	15–15	0.05	19%	13 Sept →
ancient	13–4	-0.04	16%	13 Sept →
ancient	6–13	-0.06	4%	13 Sept →
inferno	13–7	0.02	16%	13 Sept →
inferno	2–13	0.06	15%	13 Sept →
nuke	14–16	-0.01	15%	12 Sept →
ancient	5–13	-0.03	11%	12 Sept →
nuke	1–13	-0.06	9%	12 Sept →
dust2	10–13	-0.03	18%	12 Sept →
dust2	13–3	0.03	25%	12 Sept →
mirage	13–5	-0.04	13%	12 Sept →
nuke	13–6	0.03	14%	12 Sept →
dust2	2–13	-0.02	19%	12 Sept →
mirage	13–4	0.17	24%	12 Sept →
cache	9–13	0.03	15%	12 Sept →
inferno	11–13	0.04	18%	11 Sept →