m i s t — CS2 Stats

NO76561198965307003[U:1:1005041275]Steam profile ↗✓ No bans

1,676Tracked matches41%Win rate2020Tracked since

1,551Hours in CS

CSDB Rating4.6 DevelopingPositional Player

Premier CS Rating27,644Top 5% of 215,386 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)

CSDB Leaderboard#4036 of 261537 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 27,644 → 27,644

+1Tracked matches · now 1,676

+1.4ppWin rate · 40.0% → 41.4%

Rating over time

Premier CS Rating: 27,644 +0 1 Sept – 1 Nov · 5 observations

27,644Peak Premier on CSDB

27Days played since 2026-09-01

Premier CS Rating

At peak — 27,644
0 over 30 days · steady
Next: Gold band at 30,000 — 2,356 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-01
Pink band first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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	Level 2 median	Level 3 median	vs Level 3
Headshot rate	41.1%	41.3%	41.8%	meets
Shot accuracy	12.9%	12.7%	12.2%	above
Kill/death ratio	1.28	0.95	0.98	above
Match win rate	50.3%	42.6%	43.3%	above

Across every metric we can compare, this profile already matches the typical Level 3 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim46

Positioning59

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateTLLLWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −7.5pp headshot accuracy · −49ms reaction

Win rate up 30pp 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

1–3–1 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 21%
Avg reaction 725ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 21%
Avg reaction 638ms

Last 20

9–10–1 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 25%
Avg reaction 662ms

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).

Aim4.6

Utility2.8

Positioning5.9

Opening Duels4.9

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 s1mple 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 72% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 72% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 683ms 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

Aim4.6

Positioning5.9

Utility2.8

Mechanics3.7

Opening Duels6.7

Win Impact2.1

Composite 4.6/10 (Developing), 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 rating0.03+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time693ms−30ms

first ⅓ avg 723ms → last ⅓ avg 693ms

Headshot accuracy24.9%−3.5%

first ⅓ avg 28.4% → last ⅓ avg 24.9%

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

0.19Best match rating · 13–3 · nuke, 27 Sept →

100%Best headshot accuracy · 13–0 · nuke, 13 Sept →

406msFastest reaction time · 11–2 · office, 15 Oct →

13–0Biggest win · nuke, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

8–6In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 50% over 8nukeWeakest map · 41% over 86

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	86	35–51	41%	0.02
cache	B	8	4–4	50%	0.04
vertigo	—	2	1–1	50%	0.03
inferno	—	1	0–1	0%	0.06
office	—	1	1–0	100%	0.10
ancient	—	1	1–0	100%	-0.10
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (41% over 86). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,940Lifetime kills

1.28K/D · Top 10% of Level 2 players

4,333Matches

50.3%Match win rate · Top 10% of Level 2 players

41.1%Headshot %

12.9%Shot accuracy · Top 50% of Level 2 players

11,242MVPs

1,551Hours (in match)

4,434Bombs planted

945Bombs defused

Most-used weapons

AK-4722,571

AWP14,006

M4A4 / M4A1-S10,448

Desert Eagle5,096

P2000 / USP-S4,527

Glock-182,822

P2502,054

SG 5532,009

AUG1,870

MP91,489

Lifetime map wins

17,407nuke

3,426vertigo

1,913inferno

1,842dust2

867train

765office

212italy

158lake

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

Faceit stats

Combat

3Matches

33%Win rate

0.70Avg K/D

—ADR

36%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

22.8%Headshot accuracy

32.9%Accuracy (enemy spotted)

39.7%Spray accuracy

66.7%Counter-strafing

12.9°Preaim

683msReaction time

71.7%T opening success

43.6%CT opening success

0.39Enemies flashed / flash

3.4%Flash assists

2.01HE damage / grenade

6.70Flashes / 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 12.9154° — above the 12° 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 0.3912 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

41% win rate across 86 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	12–12	0.06	19%	12 Nov →
nuke	9–13	0.03	14%	30 Oct →
cache	9–13	0.02	21%	30 Oct →
cache	2–13	-0.02	15%	19 Oct →
nuke	13–7	0.03	35%	19 Oct →
nuke	8–6	0.05	46%	16 Oct →
office	11–2	0.10	21%	15 Oct →
vertigo	13–2	0.05	13%	15 Oct →
cache	13–11	0.01	25%	15 Oct →
ancient	13–6	-0.10	5%	15 Oct →
cache	13–8	0.03	29%	14 Oct →
nuke	3–13	-0.03	33%	9 Oct →
nuke	7–2	-0.01	25%	9 Oct →
nuke	9–13	0.06	21%	9 Oct →
nuke	11–13	-0.02	14%	9 Oct →
train	13–6	0.09	28%	8 Oct →
nuke	11–13	0.04	16%	8 Oct →
cache	13–5	0.17	23%	7 Oct →
nuke	0–5	-0.04	67%	2 Oct →
nuke	7–13	-0.01	33%	2 Oct →
nuke	10–13	0.06	38%	2 Oct →
nuke	7–8	0.05	33%	2 Oct →
nuke	13–3	0.19	25%	27 Sept →
nuke	8–13	-0.05	18%	27 Sept →
nuke	13–8	0.02	14%	27 Sept →
nuke	7–13	0.04	14%	27 Sept →
nuke	8–13	0.02	15%	27 Sept →
nuke	2–7	0.05	19%	27 Sept →
nuke	13–10	0.09	28%	27 Sept →
nuke	8–13	0.09	19%	27 Sept →
nuke	5–13	0.01	30%	26 Sept →
nuke	13–11	0.05	43%	26 Sept →
nuke	5–13	0.03	24%	26 Sept →
nuke	2–13	0.05	11%	26 Sept →
nuke	4–13	0.02	19%	25 Sept →
nuke	13–7	0.15	25%	25 Sept →
nuke	13–7	0.01	22%	25 Sept →
nuke	4–13	-0.05	6%	25 Sept →
nuke	12–12	-0.09	22%	25 Sept →
nuke	8–13	-0.05	21%	25 Sept →
nuke	13–10	-0.02	28%	25 Sept →
nuke	6–13	-0.07	50%	25 Sept →
nuke	13–2	0.04	33%	25 Sept →
nuke	12–12	0.05	14%	24 Sept →
nuke	9–8	-0.03	28%	24 Sept →
nuke	13–6	-0.02	15%	24 Sept →
nuke	12–12	0.08	33%	23 Sept →
nuke	13–4	0.05	33%	23 Sept →
nuke	13–5	-0.03	60%	23 Sept →
nuke	13–4	0.19	23%	23 Sept →
nuke	13–6	0.08	25%	22 Sept →
nuke	5–13	0.05	28%	22 Sept →
nuke	13–6	0.07	33%	22 Sept →
cache	13–6	0.03	21%	21 Sept →
nuke	6–13	0.04	20%	21 Sept →
nuke	8–8	0.03	33%	21 Sept →
nuke	13–6	0.10	16%	21 Sept →
nuke	13–7	0.06	26%	21 Sept →
nuke	7–13	0.07	30%	20 Sept →
nuke	5–1	0.10	22%	20 Sept →
nuke	5–0	0.00	0%	20 Sept →
nuke	11–13	0.03	23%	19 Sept →
cache	12–12	0.05	24%	19 Sept →
nuke	4–5	0.15	14%	19 Sept →
cache	4–13	0.01	16%	19 Sept →
nuke	13–5	0.06	35%	18 Sept →
nuke	3–13	0.01	37%	18 Sept →
nuke	2–3	-0.06	22%	18 Sept →
nuke	13–11	0.09	32%	17 Sept →
nuke	13–6	-0.02	29%	17 Sept →
vertigo	10–13	0.01	19%	16 Sept →
nuke	8–13	-0.03	36%	16 Sept →
nuke	2–13	0.01	60%	16 Sept →
nuke	5–0	0.14	0%	16 Sept →
nuke	7–13	0.13	22%	16 Sept →
nuke	2–13	-0.05	17%	16 Sept →
nuke	2–13	0.04	5%	15 Sept →
nuke	8–13	-0.02	19%	14 Sept →
nuke	5–13	-0.02	33%	14 Sept →
nuke	6–13	-0.03	14%	14 Sept →
nuke	10–13	-0.01	17%	13 Sept →
nuke	12–12	0.06	17%	13 Sept →
nuke	7–8	-0.04	25%	13 Sept →
nuke	13–0	0.01	100%	13 Sept →
nuke	13–0	0.01	100%	13 Sept →
nuke	10–13	-0.04	14%	13 Sept →
nuke	10–13	-0.09	18%	13 Sept →
nuke	13–0	0.00	0%	13 Sept →
nuke	13–9	-0.04	26%	13 Sept →
nuke	9–13	0.01	21%	12 Sept →
nuke	8–13	0.06	21%	12 Sept →
nuke	2–13	-0.05	32%	12 Sept →
nuke	13–4	0.09	30%	12 Sept →
nuke	4–13	-0.03	29%	12 Sept →
nuke	7–5	0.04	26%	12 Sept →
nuke	2–13	0.00	16%	12 Sept →
nuke	3–13	0.07	47%	12 Sept →
nuke	9–13	-0.06	50%	12 Sept →
nuke	13–10	-0.03	40%	12 Sept →
nuke	13–0	0.00	0%	11 Sept →