bat — CS2 Stats

GB76561198019511460[U:1:59245732]Steam profile ↗✓ No bans

606Tracked matches50%Win rate2020Tracked since

3,468Hours in CS1Hrs last 2 wks

CSDB Rating5.0 DevelopingPositional Player

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 606

−9.3ppWin rate · 59.3% → 50.0%

Rating over time

Premier CS Rating: 18,476 -107 23 Dec – 27 Dec · 2 days played

18,997Peak Premier in tracked matches

42Days played since 2024-12-08

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 Level 5 among CSDB-tracked players (n=14,283), 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 5 median	Level 6 median	vs Level 6
Headshot rate	45.2%	43.8%	44.8%	meets
Shot accuracy	18.3%	12.0%	12.4%	above
Kill/death ratio	0.94	1.02	1.03	0.09 short
Match win rate	41.1%	44.7%	45.2%	4.1% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning46

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY58–37–5Last 10058%Win rateLLLWWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · −0.3pp headshot accuracy · +4ms reaction

Win rate 0pp 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 -0.06
Avg headshot accuracy 25%
Avg reaction 580ms

Last 10

5–5 · 50% win rate
Avg rating -0.08
Avg headshot accuracy 23%
Avg reaction 638ms

Last 20

10–9–1 · 50% win rate
Avg rating -0.05
Avg headshot accuracy 23%
Avg reaction 637ms

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 (+1.8 against its own average).

Aim6.1

Utility4.1

Positioning4.6

Opening Duels0.0

Clutch2.6

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 iM 89% 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

Areas to improve

Reaction time. 619ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.1

Positioning4.6

Utility4.1

Mechanics7.3

Opening Duels0.7

Win Impact5.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.05

first ⅓ avg 0.00 → last ⅓ avg -0.04

Reaction time636ms−9ms

first ⅓ avg 645ms → last ⅓ avg 636ms

Headshot accuracy21.3%−4.8%

first ⅓ avg 26.2% → last ⅓ avg 21.3%

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

0.11Best match rating · 12–12 · overpass, 27 Dec →

50%Best headshot accuracy · 1–9 · overpass, 5 Jan →

430msFastest reaction time · 9–3 · inferno, 5 May →

13–1Biggest win · nuke, 3 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L3Current streak

6–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

trainBest map · 86% over 7cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	18	11–7	61%	-0.02
overpass	A	13	8–5	62%	-0.01
ancient	A	12	7–5	58%	-0.02
nuke	A	10	6–4	60%	-0.04
mirage	C	9	4–5	44%	-0.02
vertigo	C	8	3–5	38%	-0.06
train	S	7	6–1	86%	0.01
anubis	S	6	4–2	67%	-0.01
cache	D	6	1–5	17%	-0.02
dust2	—	4	3–1	75%	0.00
sanctum	—	2	1–1	50%	-0.06
grail	—	2	1–1	50%	-0.00
poseidon	—	1	1–0	100%	0.02
stronghold	—	1	1–0	100%	0.08
jura	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Lifetime stats

108,389Lifetime kills

0.94K/D

5,142Matches

41.1%Match win rate

45.2%Headshot % · Top 50% of Level 5 players

18.3%Shot accuracy · Top 10% of Level 5 players

14,616MVPs

2,380Hours (in match)

5,153Bombs planted

2,410Bombs defused

Most-used weapons

AK-4737,783

AWP15,729

M4A4 / M4A1-S14,624

Desert Eagle10,498

P2000 / USP-S6,112

Glock-182,985

P2502,751

SSG 082,614

Knife1,590

Tec-91,394

Lifetime map wins

8,485inferno

4,303dust2

2,241cbble

1,988train

986nuke

550vertigo

61lake

26aztec

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

Faceit stats

Combat

548Matches

51%Win rate

1.00Avg K/D

52.5ADR

42%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	18	61%	0.92	12.7
Overpass	17	59%	0.88	13.8
Ancient	16	50%	0.76	12.4
Inferno	14	36%	0.66	12.1
Mirage	6	33%	0.71	15.3
Nuke	5	40%	0.82	12.6
Vertigo	1	0%	0.36	5.0
Train	1	0%	0.57	8.0

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.

20.8%Headshot accuracy

30.3%Accuracy (enemy spotted)

33.3%Spray accuracy

82.9%Counter-strafing

10.6°Preaim

619msReaction time

21.6%T opening success

35.2%CT opening success

0.54Enemies flashed / flash

8.0%Flash assists

7.90HE damage / grenade

6.21Flashes / 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
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 21.5775% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	-0.09	27%	19 Oct →
ancient	6–13	-0.02	25%	9 Oct →
inferno	1–13	-0.11	30%	9 Oct →
anubis	13–10	-0.01	30%	9 Oct →
anubis	13–10	-0.05	14%	12 Jul →
ancient	13–3	-0.00	14%	12 Jul →
sanctum	1–9	-0.19	11%	5 Jul →
inferno	9–5	-0.12	10%	5 Jul →
poseidon	9–3	0.02	35%	5 Jul →
overpass	1–9	-0.23	33%	5 Jul →
nuke	9–3	-0.12	17%	5 Jul →
vertigo	3–9	-0.22	43%	5 Jul →
sanctum	9–6	0.08	44%	3 Jul →
nuke	13–1	0.06	25%	3 Jul →
cache	11–13	-0.03	21%	21 Jun →
nuke	0–13	-0.12	0%	21 Jun →
stronghold	13–5	0.08	26%	7 Jun →
cache	13–10	-0.01	9%	7 Jun →
cache	5–13	-0.04	20%	12 May →
anubis	15–15	0.05	29%	3 May →
cache	12–12	0.04	23%	3 May →
cache	9–13	-0.03	21%	3 May →
cache	4–13	-0.05	15%	29 Apr →
inferno	4–13	-0.06	17%	19 Apr →
ancient	8–13	-0.10	13%	19 Apr →
anubis	13–3	0.02	20%	19 Apr →
overpass	13–4	0.08	22%	14 Sept →
train	13–7	0.03	18%	14 Sept →
vertigo	9–5	-0.06	11%	14 Sept →
mirage	8–13	-0.08	23%	2 Sept →
inferno	5–13	-0.11	26%	2 Sept →
nuke	13–6	0.06	20%	2 Sept →
overpass	13–10	-0.05	13%	2 Sept →
inferno	9–13	-0.10	18%	31 Aug →
nuke	7–13	-0.06	15%	31 Aug →
vertigo	6–9	-0.06	29%	31 Aug →
train	13–8	0.02	39%	31 Aug →
ancient	13–1	0.04	13%	31 Aug →
overpass	13–1	-0.00	33%	31 Aug →
ancient	13–5	-0.02	16%	30 Aug →
overpass	13–6	-0.03	23%	30 Aug →
ancient	16–13	-0.02	13%	27 Aug →
ancient	12–12	-0.05	12%	20 Aug →
inferno	13–10	-0.04	11%	17 Aug →
mirage	13–7	-0.01	24%	17 Aug →
inferno	13–11	-0.01	19%	11 Aug →
inferno	13–8	0.01	19%	6 Aug →
nuke	9–13	-0.07	26%	6 Aug →
mirage	13–6	-0.04	10%	6 Aug →
inferno	10–13	-0.03	28%	3 Aug →
grail	5–13	-0.01	14%	24 Jun →
jura	13–9	0.01	31%	10 May →
grail	13–10	0.01	28%	9 May →
inferno	9–3	-0.00	0%	5 May →
vertigo	5–9	-0.10	6%	5 May →
mirage	4–13	-0.02	15%	21 Apr →
vertigo	13–6	-0.04	22%	21 Apr →
inferno	11–13	0.08	28%	19 Apr →
overpass	13–2	0.10	32%	19 Apr →
train	13–11	-0.01	27%	19 Apr →
nuke	13–11	-0.00	27%	9 Apr →
ancient	4–13	0.02	32%	9 Apr →
ancient	11–13	-0.04	25%	6 Apr →
dust2	1–13	-0.09	20%	3 Apr →
train	13–6	-0.01	27%	3 Apr →
inferno	13–5	0.02	29%	23 Mar →
ancient	13–10	-0.07	6%	23 Mar →
dust2	13–11	0.00	15%	23 Mar →
overpass	12–12	-0.03	15%	23 Mar →
vertigo	13–9	-0.02	24%	23 Mar →
train	13–5	0.10	20%	23 Mar →
nuke	13–9	0.03	20%	23 Mar →
mirage	13–5	0.10	35%	20 Mar →
overpass	13–3	0.01	29%	20 Mar →
overpass	13–11	0.05	18%	6 Mar →
train	9–13	-0.01	27%	11 Feb →
mirage	9–13	-0.08	20%	27 Jan →
inferno	9–7	0.01	21%	27 Jan →
mirage	5–13	0.03	34%	26 Jan →
inferno	6–13	-0.04	16%	26 Jan →
overpass	1–9	-0.13	50%	5 Jan →
inferno	9–5	0.11	26%	5 Jan →
nuke	7–9	-0.09	21%	4 Jan →
inferno	9–4	0.03	19%	4 Jan →
overpass	12–12	0.11	28%	27 Dec →
vertigo	3–13	0.03	29%	27 Dec →
anubis	11–13	-0.07	24%	27 Dec →
ancient	13–6	0.01	22%	27 Dec →
vertigo	5–13	-0.04	30%	23 Dec →
inferno	13–8	-0.04	33%	23 Dec →
overpass	13–8	0.01	24%	15 Dec →
ancient	13–4	0.01	31%	15 Dec →
dust2	13–5	0.06	31%	15 Dec →
dust2	13–1	0.04	38%	15 Dec →
mirage	13–7	-0.01	26%	15 Dec →
anubis	13–4	0.01	26%	15 Dec →
nuke	13–6	-0.06	36%	15 Dec →
inferno	9–2	0.07	21%	15 Dec →
overpass	10–13	-0.04	26%	8 Dec →
train	13–4	-0.02	29%	8 Dec →