✪ CoachAnt — CS2 Stats

GB76561198353985652[U:1:393719924]Steam profile ↗✓ No bans

5,856Tracked matches64%Win rate2020Tracked since

8,031Hours in CS40Hrs last 2 wks

CSDB Rating8.6 ElitePositional Player

Premier CS Rating27,882Top 5% of 212,695 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)

CSDB Leaderboard#3086 of 259571 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,882 +2,883 29 Aug – 29 Oct · 19 days played

29,366Peak Premier in tracked matches

19Days played since 2026-08-29

Premier CS Rating

934 below peak (28,816)
+3,002 over 30 days · improving
Next: Gold band at 30,000 — 2,118 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-10
Pink band first seen 2026-08-29

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 Red band among CSDB-tracked players (n=13,318), 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	Red band median	Gold band median	vs Gold band
Headshot rate	55.1%	49.3%	50.9%	above
Shot accuracy	16.2%	13.4%	11.8%	above
Kill/death ratio	1.29	1.12	1.18	above
Match win rate	60.7%	48.5%	51.9%	above

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

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Performance scores

Aim96

Positioning73

Utility58

0–100 skill scores via Leetify.

Recent form

HOT69–26–5Last 10069%Win rateWWWWLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +3.5pp headshot accuracy · −8ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.02
Avg headshot accuracy 29%
Avg reaction 514ms

Last 10

7–3 · 70% win rate
Avg rating 0.01
Avg headshot accuracy 29%
Avg reaction 533ms

Last 20

12–8 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 27%
Avg reaction 537ms

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 (+2.5 against its own average).

Aim9.6

Utility5.8

Positioning7.3

Opening Duels5.1

Clutch1.0

Sharp aimerExcellent counter-strafing

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 jL 94% 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 96 — the mechanical foundation is a clear strength.

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.6

Positioning7.3

Utility5.8

Mechanics8.5

Opening Duels7.3

Win Impact9.8

Composite 8.6/10 (Elite), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time513ms+13ms

first ⅓ avg 500ms → last ⅓ avg 513ms

Headshot accuracy27.6%−4.1%

first ⅓ avg 31.8% → last ⅓ avg 27.6%

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.

Personal bests

0.18Best match rating · 10–13 · vertigo, 2 Oct →

63%Best headshot accuracy · 13–3 · anubis, 25 Oct →

320msFastest reaction time · 1–4 · dust2, 1 Oct →

13–1Biggest win · nuke, 31 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W4Current streak

5–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

vertigoBest map · 89% over 9mirageWeakest map · 50% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	28	20–8	71%	0.02
anubis	S	14	11–3	79%	0.04
ancient	S	11	8–3	73%	0.02
dust2	A	11	6–5	55%	-0.01
vertigo	S	9	8–1	89%	0.06
nuke	A	8	5–3	63%	0.03
mirage	B	8	4–4	50%	-0.00
inferno	A	5	3–2	60%	0.00
overpass	—	3	2–1	67%	0.05
train	—	2	2–0	100%	0.06
boulder	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

313,929Lifetime kills

1.29K/D · Top 25% of Red band

10,112Matches

60.7%Match win rate · Top 10% of Red band

55.1%Headshot % · Top 25% of Red band

16.2%Shot accuracy · Top 25% of Red band

39,055MVPs

5,094Hours (in match)

6,158Bombs planted

2,435Bombs defused

Most-used weapons

AK-47119,236

AWP49,426

M4A4 / M4A1-S42,702

Desert Eagle27,555

P2000 / USP-S18,533

Glock-188,887

FAMAS6,932

Galil AR6,834

P2505,340

Five-SeveN4,663

Lifetime map wins

24,914inferno

5,877vertigo

4,258train

3,883nuke

3,760dust2

1,144cbble

1,130office

182lake

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

Faceit stats

Combat

1,091Matches

55%Win rate

1.29Avg K/D

91.5ADR

46%Headshot %

Clutches & streaks

25%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	12	58%	1.50	19.8
Ancient	11	82%	1.79	20.4
Overpass	5	80%	1.15	20.0
Vertigo	5	40%	1.12	18.6
Nuke	4	75%	1.41	21.8
Inferno	4	100%	1.53	22.8
Cache	1	0%	0.88	15.0
Mirage	1	0%	1.05	21.0

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.

26.6%Headshot accuracy

38.0%Accuracy (enemy spotted)

41.4%Spray accuracy

88.2%Counter-strafing

6.4°Preaim

501msReaction time

63.7%T opening success

54.7%CT opening success

0.63Enemies flashed / flash

8.7%Flash assists

6.89HE damage / grenade

6.31Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–1	0.03	45%	31 Oct →
cache	13–5	0.04	23%	31 Oct →
vertigo	13–2	0.03	26%	31 Oct →
vertigo	13–5	0.04	21%	31 Oct →
ancient	7–13	-0.02	31%	30 Oct →
cache	13–9	0.05	25%	30 Oct →
anubis	4–13	0.04	28%	30 Oct →
vertigo	13–7	-0.03	23%	30 Oct →
cache	6–13	-0.12	31%	29 Oct →
vertigo	13–2	0.06	38%	29 Oct →
anubis	13–2	-0.01	28%	29 Oct →
cache	13–2	0.16	31%	28 Oct →
ancient	10–13	-0.01	17%	28 Oct →
dust2	8–13	-0.05	26%	28 Oct →
cache	11–13	-0.02	32%	28 Oct →
mirage	13–2	0.06	29%	28 Oct →
mirage	6–13	-0.02	15%	27 Oct →
cache	6–13	-0.03	33%	27 Oct →
cache	13–10	-0.02	29%	27 Oct →
ancient	13–3	0.01	15%	27 Oct →
cache	12–12	-0.03	22%	27 Oct →
vertigo	13–6	0.02	21%	27 Oct →
inferno	8–13	0.03	21%	27 Oct →
anubis	13–10	0.04	29%	27 Oct →
dust2	13–8	0.03	19%	26 Oct →
nuke	15–15	0.03	29%	26 Oct →
dust2	4–13	-0.02	29%	26 Oct →
train	13–11	0.04	26%	25 Oct →
inferno	13–9	0.00	39%	25 Oct →
ancient	11–2	0.04	24%	25 Oct →
anubis	13–3	0.01	63%	25 Oct →
cache	13–4	0.04	27%	25 Oct →
cache	13–7	-0.02	18%	25 Oct →
dust2	13–4	0.00	12%	24 Oct →
ancient	13–9	-0.01	24%	24 Oct →
anubis	7–13	-0.00	24%	24 Oct →
cache	10–13	-0.05	24%	24 Oct →
vertigo	13–10	0.16	32%	24 Oct →
dust2	13–7	0.03	34%	23 Oct →
cache	13–8	0.02	20%	23 Oct →
dust2	8–13	-0.04	28%	23 Oct →
anubis	13–3	0.05	40%	23 Oct →
inferno	13–3	0.04	28%	23 Oct →
cache	13–1	0.06	44%	23 Oct →
ancient	13–11	-0.00	33%	23 Oct →
nuke	13–7	0.08	24%	23 Oct →
ancient	13–1	0.08	18%	23 Oct →
dust2	13–7	0.02	31%	22 Oct →
mirage	13–6	-0.01	17%	22 Oct →
mirage	7–13	0.00	32%	22 Oct →
dust2	13–7	-0.04	27%	22 Oct →
dust2	11–13	-0.04	32%	22 Oct →
cache	13–1	0.02	38%	22 Oct →
nuke	6–13	-0.01	35%	22 Oct →
anubis	13–6	-0.01	33%	22 Oct →
cache	13–7	0.05	30%	22 Oct →
cache	13–3	0.06	24%	22 Oct →
anubis	13–3	0.02	13%	22 Oct →
anubis	13–7	0.12	23%	20 Oct →
vertigo	13–10	-0.02	47%	20 Oct →
overpass	10–13	-0.04	28%	16 Oct →
cache	13–6	0.06	36%	16 Oct →
ancient	13–1	-0.02	25%	16 Oct →
cache	13–10	-0.06	29%	11 Oct →
overpass	13–5	0.07	25%	11 Oct →
ancient	12–12	0.00	29%	11 Oct →
dust2	13–6	-0.08	35%	10 Oct →
cache	13–2	-0.00	21%	10 Oct →
inferno	11–13	-0.07	17%	10 Oct →
ancient	13–10	0.01	26%	10 Oct →
mirage	10–13	-0.04	22%	10 Oct →
mirage	13–5	0.05	36%	10 Oct →
cache	13–4	-0.02	21%	10 Oct →
cache	13–4	0.05	23%	10 Oct →
nuke	9–13	-0.04	20%	10 Oct →
cache	12–12	0.02	32%	9 Oct →
anubis	10–13	0.08	38%	9 Oct →
mirage	13–8	-0.03	41%	9 Oct →
nuke	13–6	0.06	58%	9 Oct →
anubis	13–4	0.07	26%	3 Oct →
boulder	4–13	-0.08	22%	3 Oct →
cache	12–12	-0.01	29%	3 Oct →
anubis	13–7	0.05	26%	3 Oct →
cache	13–8	-0.00	40%	2 Oct →
anubis	13–3	0.10	32%	2 Oct →
cache	13–5	0.03	31%	2 Oct →
inferno	13–10	0.03	30%	2 Oct →
cache	4–13	-0.05	29%	2 Oct →
nuke	13–9	0.02	24%	2 Oct →
vertigo	13–11	0.09	21%	2 Oct →
vertigo	10–13	0.18	34%	2 Oct →
ancient	13–10	0.12	26%	1 Oct →
mirage	10–13	-0.03	31%	1 Oct →
dust2	1–4	0.09	56%	1 Oct →
nuke	13–1	0.07	39%	29 Sept →
cache	13–1	0.07	21%	29 Sept →
cache	2–0	0.17	60%	29 Sept →
anubis	13–11	-0.00	21%	29 Sept →
train	8–2	0.08	63%	29 Sept →
overpass	9–2	0.10	33%	29 Sept →