4TAYLOR👑 — CS2 Stats

76561198852710277[U:1:892444549]Steam profile ↗✓ No bans

7,426Tracked matches37%Win rate2020Tracked since

8,233Hours in CS

CSDB Rating6.9 SolidPositional Player

CSDB Leaderboard#202924 of 251330 tracked

FaceitLevel 10 · 3,529 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,529 → 3,529

+88Tracked matches · now 7,426

−6.7ppWin rate · 43.3% → 36.7%

Rating over time

Faceit ELO: 3,529 +0 28 Aug – 25 Sept · 7 observations

30,633Peak Premier in tracked matches

3,529Highest Faceit ELO seen on CSDB

50Days played since 2026-06-13

Faceit ELO

At peak — 3,529
0 over 30 days · steady
Next: 4,000 ELO at 4,000 — 471 to go
Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
3,500 ELO first seen 2026-08-28
3,000 ELO first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	113	—	—
Win rate	61%	—	—
K/D	1.09	—	—
Headshot %	60%	—	—

Measured 10 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate	52.2%	50.9%
Shot accuracy	12.0%	13.7%
Kill/death ratio	1.12	1.09
Match win rate	58.4%	48.4%

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Performance scores

Aim90

Positioning63

Utility60

0–100 skill scores via Leetify.

Recent form

COLD49–51Last 10049%Win rateLLLWWLWLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +4.9pp headshot accuracy · −15ms 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

2–3 · 40% win rate
Avg rating 0.04
Avg headshot accuracy 28%
Avg reaction 466ms

Last 10

3–7 · 30% win rate
Avg rating 0.03
Avg headshot accuracy 29%
Avg reaction 478ms

Last 20

7–13 · 35% win rate
Avg rating 0.02
Avg headshot accuracy 26%
Avg reaction 486ms

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 against its own average).

Aim9.0

Utility6.0

Positioning6.3

Opening Duels4.6

Clutch4.4

Sharp aimer

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 NiKo 97% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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

Aim9.0

Positioning6.3

Utility6.0

Mechanics6.7

Opening Duels6.4

Win Impact0.6

Composite 6.9/10 (Solid), 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+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.03

Reaction time499ms−40ms

first ⅓ avg 540ms → last ⅓ avg 499ms

Headshot accuracy25.7%+3.1%

first ⅓ avg 22.6% → last ⅓ avg 25.7%

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

0.19Best match rating · 13–4 · dust2, 26 Aug →

46%Best headshot accuracy · 3–13 · inferno, 15 Aug →

344msFastest reaction time · 10–13 · mirage, 22 Aug →

13–0Biggest win · cache, 8 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L3Current streak

5–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 25% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	15–18	45%	0.02
mirage	D	20	5–15	25%	0.01
inferno	B	15	8–7	53%	0.04
ancient	A	13	8–5	62%	0.03
cache	A	10	6–4	60%	0.02
anubis	S	6	5–1	83%	0.03
nuke	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

337,787Lifetime kills

1.12K/D · Top 50% of Level 10 players

9,858Matches

58.4%Match win rate · Top 5% of Level 10 players

52.2%Headshot % · Top 50% of Level 10 players

12.0%Shot accuracy

40,432MVPs

8,233Hours (in match)

17,571Bombs planted

3,429Bombs defused

Most-used weapons

AK-47134,717

M4A4 / M4A1-S56,714

AWP33,727

Desert Eagle27,067

P2000 / USP-S19,263

Glock-1810,921

Knife8,717

MP96,900

Galil AR6,218

FAMAS5,595

Lifetime map wins

25,546dust2

20,793inferno

5,531vertigo

4,340train

4,053nuke

481cbble

37lake

16sugarcane

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

Faceit stats

Combat

8,653Matches

55%Win rate

1.25Avg K/D

91.8ADR

51%Headshot %

Clutches & streaks

42%1v1 clutch win

28%1v2 clutch win

19Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1467	55%	1.25	18.4
Dust2	938	57%	1.25	18.6
Ancient	722	57%	1.20	17.8
Anubis	457	52%	1.13	17.7
Inferno	122	56%	1.22	17.3
Nuke	103	50%	1.09	16.9
Overpass	83	59%	1.27	18.4
Vertigo	81	51%	1.01	16.2

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.

25.7%Headshot accuracy

36.2%Accuracy (enemy spotted)

39.0%Spray accuracy

80.1%Counter-strafing

8.4°Preaim

480msReaction time

58.1%T opening success

53.1%CT opening success

0.61Enemies flashed / flash

10.4%Flash assists

8.08HE damage / grenade

9.89Flashes / match

Recommended for you

Spend your practice time on Mirage

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

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–13	0.03	30%	9 Oct →
dust2	7–13	0.00	28%	9 Oct →
dust2	6–13	0.04	29%	8 Oct →
cache	13–0	0.07	26%	8 Oct →
dust2	13–5	0.04	30%	8 Oct →
mirage	4–13	0.01	33%	8 Oct →
ancient	13–3	0.13	28%	8 Oct →
dust2	10–13	-0.03	28%	8 Oct →
mirage	13–16	0.03	24%	8 Oct →
ancient	10–13	0.01	31%	3 Oct →
mirage	13–7	0.08	33%	2 Oct →
anubis	13–9	-0.01	17%	2 Oct →
cache	8–13	-0.01	29%	30 Sept →
dust2	6–13	-0.02	16%	30 Sept →
inferno	11–13	-0.01	20%	29 Sept →
inferno	16–13	0.10	22%	28 Sept →
dust2	13–9	0.03	15%	28 Sept →
mirage	8–13	-0.00	21%	27 Sept →
dust2	9–13	-0.04	34%	26 Sept →
anubis	6–13	0.02	31%	26 Sept →
mirage	4–13	-0.05	26%	24 Sept →
inferno	13–11	0.08	24%	24 Sept →
cache	7–13	-0.07	24%	24 Sept →
dust2	7–13	-0.01	21%	23 Sept →
mirage	13–8	0.12	29%	19 Sept →
anubis	13–11	0.05	25%	18 Sept →
anubis	25–22	0.05	22%	11 Sept →
ancient	7–13	0.01	22%	10 Sept →
dust2	1–13	0.06	32%	9 Sept →
mirage	3–13	0.12	35%	9 Sept →
mirage	2–4	-0.07	13%	5 Sept →
dust2	13–0	0.10	18%	4 Sept →
dust2	8–13	0.04	35%	28 Aug →
dust2	8–13	0.04	38%	28 Aug →
dust2	13–4	0.09	32%	27 Aug →
ancient	13–6	0.03	40%	27 Aug →
anubis	13–6	0.03	21%	26 Aug →
dust2	13–4	0.19	20%	26 Aug →
cache	13–11	0.06	33%	25 Aug →
dust2	4–13	0.01	37%	22 Aug →
mirage	10–13	0.00	24%	22 Aug →
mirage	10–13	0.05	21%	22 Aug →
cache	13–5	0.05	33%	22 Aug →
ancient	11–13	0.06	34%	21 Aug →
cache	1–13	-0.02	16%	15 Aug →
dust2	8–13	0.16	40%	15 Aug →
inferno	3–13	0.13	46%	15 Aug →
ancient	13–8	0.02	27%	12 Aug →
mirage	16–19	0.06	29%	7 Aug →
dust2	8–13	0.03	28%	6 Aug →
mirage	13–1	0.02	26%	5 Aug →
dust2	9–13	0.05	26%	5 Aug →
dust2	6–13	0.00	27%	5 Aug →
dust2	13–0	0.09	21%	5 Aug →
inferno	19–16	0.05	20%	4 Aug →
dust2	13–9	0.05	34%	3 Aug →
ancient	6–13	-0.05	21%	3 Aug →
mirage	10–13	0.02	25%	2 Aug →
dust2	13–7	-0.01	29%	2 Aug →
inferno	8–13	0.10	36%	1 Aug →
cache	10–13	-0.04	23%	31 Jul →
ancient	13–5	0.11	34%	31 Jul →
inferno	13–10	0.01	27%	31 Jul →
ancient	10–13	-0.01	25%	30 Jul →
cache	13–2	0.14	21%	9 Jul →
ancient	13–9	0.05	31%	6 Jul →
mirage	6–13	-0.08	20%	6 Jul →
nuke	10–13	0.01	33%	6 Jul →
mirage	13–16	0.01	23%	1 Jul →
inferno	13–8	0.04	26%	30 Jun →
mirage	13–7	0.03	30%	30 Jun →
dust2	13–10	0.04	19%	29 Jun →
inferno	8–13	0.04	22%	28 Jun →
ancient	13–5	0.04	34%	28 Jun →
ancient	13–7	0.08	25%	27 Jun →
anubis	13–11	0.05	28%	25 Jun →
cache	13–9	0.05	18%	25 Jun →
dust2	13–9	-0.04	23%	25 Jun →
dust2	13–9	-0.02	20%	23 Jun →
inferno	13–4	0.07	24%	23 Jun →
dust2	13–9	0.06	35%	23 Jun →
cache	13–3	0.00	26%	23 Jun →
dust2	10–13	-0.06	11%	23 Jun →
ancient	13–6	-0.06	20%	23 Jun →
dust2	9–13	0.02	20%	22 Jun →
inferno	4–13	-0.02	7%	22 Jun →
dust2	6–13	-0.03	26%	22 Jun →
inferno	13–8	0.04	18%	21 Jun →
dust2	13–7	0.01	21%	21 Jun →
dust2	13–6	-0.04	13%	20 Jun →
mirage	9–13	-0.03	16%	20 Jun →
mirage	2–13	-0.06	29%	20 Jun →
nuke	13–3	0.03	30%	20 Jun →
inferno	4–13	-0.08	14%	20 Jun →
dust2	13–5	-0.05	33%	20 Jun →
dust2	6–13	0.00	18%	15 Jun →
inferno	13–10	0.02	30%	15 Jun →
nuke	13–8	0.01	22%	15 Jun →
mirage	13–11	-0.01	23%	14 Jun →
mirage	8–13	-0.04	9%	13 Jun →