WS | deforest — CS2 Stats

76561199118598834[U:1:1158333106]Steam profile ↗✓ No bans

461Tracked matches30%Win rate2021Tracked since

591Hours in CS

CSDB Rating5.0 DevelopingAggressive Rifler

FaceitLevel 5 · 1,173 ELOTop 67.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning61

Utility35

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLLLLWLLLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.6

Aggression8.6

Utility3.5

Positioning6.1

Opening Duels3.5

Clutch3.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like b1t 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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

T-side openings. Opening success drops from 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 645ms 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

Aim7.6

Positioning6.1

Utility3.5

Mechanics8.1

Opening Duels3.5

Win Impact0.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time650ms−46ms

first ⅓ avg 696ms → last ⅓ avg 650ms

Headshot accuracy23.5%−6.1%

first ⅓ avg 29.6% → last ⅓ avg 23.5%

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.

Highlights

0.45Best rating — inferno 9–0

13–1Biggest win — nuke

5Longest win streak

L4Current streak

8–2In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 77% over 13mirageWeakest map · 33% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	24	8–16	33%	0.00
nuke	A	23	13–10	57%	0.05
inferno	B	17	9–8	53%	0.03
ancient	S	13	10–3	77%	0.05
anubis	A	9	5–4	56%	0.04
dust2	C	9	4–5	44%	0.03
train	—	3	1–2	33%	-0.02
overpass	—	1	0–1	0%	-0.04
vertigo	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,113Lifetime kills

0.83K/D

1,586Matches

40.1%Match win rate

57.0%Headshot % · Top 25% of tracked players

9.6%Shot accuracy

3,200MVPs

591Hours (in match)

1,116Bombs planted

286Bombs defused

Most-used weapons

AK-4711,542

M4A4 / M4A1-S5,848

Desert Eagle3,787

AWP2,999

P2000 / USP-S1,943

Glock-181,441

Galil AR1,312

MP91,208

FAMAS904

SSG 08688

Lifetime map wins

1,536dust2

1,086inferno

1,013nuke

393vertigo

266cbble

182train

9lake

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

Faceit stats

Combat

266Matches

49%Win rate

1.12Avg K/D

75.3ADR

55%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	99	55%	1.11	15.4
Ancient	44	45%	1.03	15.6
Dust2	33	48%	1.09	14.8
Anubis	31	39%	1.14	18.0
Inferno	20	50%	1.57	15.6
Nuke	16	56%	1.22	16.8
Vertigo	6	67%	1.40	20.5
Train	4	50%	1.02	16.0

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.

24.2%Headshot accuracy

34.5%Accuracy (enemy spotted)

39.2%Spray accuracy

86.4%Counter-strafing

10.3°Preaim

645msReaction time

33.5%T opening success

54.5%CT opening success

0.37Enemies flashed / flash

3.4%Flash assists

10.92HE damage / grenade

6.14Flashes / 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.

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 0.3656 — below the 0.5 mark we flag
Grenade Lineups →
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 33.4957% — below the 40% mark we flag

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.

33% win rate across 24 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
anubis	9–13	0.02	31%	31 Jan →
mirage	10–13	-0.02	28%	29 Jan →
mirage	13–16	-0.00	18%	17 Jan →
nuke	6–13	-0.04	19%	3 Jan →
nuke	13–6	0.01	24%	3 Jan →
mirage	8–13	-0.02	32%	3 Jan →
mirage	10–13	0.04	41%	2 Jan →
nuke	7–13	0.08	23%	2 Jan →
mirage	2–13	-0.00	32%	2 Jan →
overpass	0–13	-0.04	23%	31 Dec →
mirage	7–13	0.01	27%	30 Dec →
mirage	13–9	0.06	39%	30 Dec →
mirage	0–13	-0.10	0%	30 Dec →
nuke	13–1	0.10	14%	30 Dec →
nuke	3–13	-0.02	32%	30 Dec →
ancient	13–11	0.08	26%	30 Dec →
nuke	6–13	0.02	27%	27 Dec →
train	1–13	-0.08	0%	1 Dec →
mirage	10–13	0.00	28%	1 Dec →
nuke	9–13	-0.03	24%	28 Nov →
inferno	13–7	-0.00	28%	23 Nov →
vertigo	5–9	-0.00	20%	15 Nov →
inferno	11–13	0.09	30%	21 Mar →
inferno	9–1	0.25	25%	21 Mar →
mirage	9–13	0.03	30%	21 Mar →
mirage	9–3	0.06	32%	21 Mar →
ancient	13–8	0.05	16%	10 Mar →
anubis	13–16	0.05	22%	9 Mar →
mirage	13–7	0.00	22%	8 Mar →
train	13–11	0.01	22%	2 Mar →
mirage	13–16	-0.03	13%	25 Feb →
nuke	9–4	0.04	13%	24 Feb →
ancient	10–13	0.05	11%	24 Feb →
ancient	25–23	0.01	24%	23 Feb →
dust2	13–3	0.03	38%	22 Feb →
nuke	9–6	0.03	24%	22 Feb →
nuke	10–13	-0.02	10%	22 Feb →
anubis	22–19	0.05	19%	22 Feb →
ancient	13–11	-0.03	13%	21 Feb →
inferno	0–9	-0.26	9%	21 Feb →
nuke	7–13	0.05	23%	20 Feb →
mirage	13–10	0.01	27%	20 Feb →
dust2	13–10	0.05	21%	20 Feb →
nuke	7–13	-0.02	27%	20 Feb →
nuke	9–4	0.14	34%	20 Feb →
nuke	13–7	0.10	31%	20 Feb →
dust2	13–5	0.03	29%	20 Feb →
mirage	13–6	-0.02	20%	20 Feb →
inferno	5–9	-0.10	20%	20 Feb →
nuke	9–4	0.18	39%	20 Feb →
inferno	13–9	-0.03	30%	20 Feb →
dust2	1–13	-0.04	19%	19 Feb →
ancient	13–6	0.06	20%	19 Feb →
anubis	13–9	0.08	27%	19 Feb →
anubis	7–13	0.01	21%	19 Feb →
nuke	9–7	0.06	30%	19 Feb →
nuke	9–2	0.16	32%	19 Feb →
inferno	9–0	0.45	17%	19 Feb →
inferno	9–4	0.22	26%	19 Feb →
inferno	9–4	0.10	26%	19 Feb →
ancient	9–13	-0.01	33%	19 Feb →
inferno	9–3	0.04	19%	19 Feb →
inferno	1–9	-0.29	14%	18 Feb →
inferno	7–13	0.07	29%	18 Feb →
ancient	13–5	0.04	13%	18 Feb →
anubis	13–6	0.04	13%	18 Feb →
mirage	15–15	0.00	25%	18 Feb →
inferno	16–12	0.02	13%	18 Feb →
mirage	13–9	0.01	33%	18 Feb →
ancient	13–11	0.10	32%	18 Feb →
dust2	5–13	0.01	26%	18 Feb →
nuke	13–2	-0.00	33%	18 Feb →
inferno	9–6	0.07	12%	18 Feb →
inferno	7–9	0.04	25%	17 Feb →
nuke	13–8	-0.01	26%	17 Feb →
mirage	12–16	0.06	24%	17 Feb →
dust2	13–7	0.12	19%	17 Feb →
mirage	16–14	0.02	16%	17 Feb →
nuke	10–13	0.04	15%	17 Feb →
inferno	8–8	-0.02	23%	17 Feb →
inferno	4–9	-0.10	20%	17 Feb →
ancient	10–13	-0.02	30%	17 Feb →
anubis	13–8	0.09	33%	17 Feb →
mirage	12–16	-0.01	34%	16 Feb →
mirage	6–13	-0.02	27%	16 Feb →
train	10–13	0.02	33%	16 Feb →
nuke	15–15	0.06	32%	16 Feb →
mirage	13–7	0.03	20%	15 Feb →
anubis	3–13	0.00	59%	15 Feb →
dust2	9–13	0.07	39%	15 Feb →
nuke	13–4	0.09	43%	15 Feb →
ancient	13–6	0.15	45%	15 Feb →
dust2	4–13	0.07	48%	15 Feb →
anubis	13–11	0.03	26%	15 Feb →
mirage	3–13	0.06	43%	14 Feb →
dust2	7–13	-0.04	28%	14 Feb →
mirage	2–13	-0.06	39%	14 Feb →
ancient	13–2	0.01	22%	14 Feb →
ancient	13–3	0.16	33%	14 Feb →
nuke	9–4	0.14	24%	14 Feb →