[L2W] Wolfie 🐺 — CS2 Stats

FR76561198153733911[U:1:193468183]Steam profile ↗✓ No bans

1,398Tracked matches30%Win rate2023Tracked since

CSDB Rating4.0 DevelopingSupport

Premier CS Rating10,548Blue band · top ~52% of ranked players (population est.)

CSDB Leaderboard#167624 of 239169 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 15 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,548 -2,785 15 Aug – 19 Sept · 22 days played

15,105Peak Premier in tracked matches

25Days played since 2026-08-15

Premier CS Rating

4,557 below peak (15,105)
-4,557 over 30 days · declining
Next: Purple band at 15,000 — 4,452 to go
Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim52

Positioning41

Utility50

0–100 skill scores via Leetify.

Recent form

COLD42–58Last 10042%Win rateWLLLLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −15ms reaction

Win rate down 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

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 9%
Avg reaction 614ms

Last 10

1–9 · 10% win rate
Avg rating -0.03
Avg headshot accuracy 10%
Avg reaction 617ms

Last 20

4–16 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 11%
Avg reaction 624ms

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: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim5.2

Utility5.0

Positioning4.1

Opening Duels0.0

Clutch1.0

Limited utility dependence

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 Twistzz 81% 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. 639ms 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

Aim5.2

Positioning4.1

Utility5.0

Mechanics5.8

Opening Duels1.8

Win Impact0.0

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time640ms+44ms

first ⅓ avg 596ms → last ⅓ avg 640ms

Headshot accuracy11.8%−2.2%

first ⅓ avg 14.0% → last ⅓ avg 11.8%

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

0.08Best match rating · 13–8 · dust2, 21 Aug →

28%Best headshot accuracy · 2–13 · anubis, 1 Sept →

414msFastest reaction time · 13–2 · inferno, 14 Sept →

13–1Biggest win · inferno, 15 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

7–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 64% over 25cacheWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	16–9	64%	-0.03
inferno	C	23	9–14	39%	-0.02
ancient	C	16	6–10	38%	-0.03
anubis	D	15	5–10	33%	-0.04
nuke	D	8	2–6	25%	-0.03
cache	D	7	1–6	14%	-0.06
mirage	B	6	3–3	50%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

74Matches

53%Win rate

0.94Avg K/D

70.7ADR

36%Headshot %

Clutches & streaks

25%1v1 clutch win

14%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	8	25%	0.94	12.4
Inferno	7	57%	0.68	10.9
Ancient	6	50%	0.91	14.7
Dust2	5	60%	0.66	10.8
Nuke	2	50%	0.98	14.0
Mirage	1	0%	1.06	17.0

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.

12.0%Headshot accuracy

36.7%Accuracy (enemy spotted)

38.8%Spray accuracy

75.9%Counter-strafing

11.9°Preaim

639msReaction time

44.4%T opening success

30.1%CT opening success

0.45Enemies flashed / flash

7.7%Flash assists

11.81HE damage / grenade

4.52Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.9977% — below the 15% 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 0.4469 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 30.0797% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	-0.03	7%	19 Sept →
anubis	9–13	-0.03	7%	19 Sept →
dust2	4–13	-0.05	8%	19 Sept →
inferno	10–13	-0.03	10%	19 Sept →
nuke	9–13	-0.01	15%	19 Sept →
inferno	9–13	-0.03	12%	19 Sept →
inferno	11–13	0.01	20%	18 Sept →
ancient	6–13	-0.06	8%	18 Sept →
anubis	4–13	-0.06	0%	18 Sept →
ancient	9–13	-0.04	11%	18 Sept →
ancient	7–13	-0.03	9%	16 Sept →
dust2	13–11	-0.05	19%	16 Sept →
ancient	11–13	-0.07	10%	16 Sept →
anubis	4–13	0.04	16%	16 Sept →
dust2	11–13	0.00	15%	16 Sept →
inferno	13–7	0.01	5%	16 Sept →
nuke	13–2	0.00	13%	16 Sept →
inferno	8–13	0.02	17%	15 Sept →
dust2	11–13	-0.05	25%	15 Sept →
dust2	9–13	-0.07	3%	15 Sept →
dust2	13–8	-0.01	20%	15 Sept →
cache	7–13	-0.09	13%	15 Sept →
anubis	13–9	-0.05	6%	15 Sept →
inferno	13–1	0.06	4%	15 Sept →
nuke	3–13	-0.07	24%	15 Sept →
anubis	10–13	-0.06	12%	14 Sept →
nuke	3–13	0.05	11%	14 Sept →
dust2	2–13	-0.14	9%	14 Sept →
inferno	13–10	-0.05	16%	14 Sept →
inferno	13–2	0.04	10%	14 Sept →
inferno	13–9	-0.02	13%	13 Sept →
dust2	5–13	-0.08	16%	12 Sept →
ancient	13–10	0.01	7%	12 Sept →
nuke	13–16	-0.03	14%	12 Sept →
dust2	9–5	-0.08	22%	12 Sept →
dust2	13–10	0.01	20%	12 Sept →
inferno	9–13	-0.06	8%	11 Sept →
cache	8–13	-0.04	8%	11 Sept →
dust2	11–13	-0.07	9%	11 Sept →
dust2	13–10	-0.02	18%	10 Sept →
anubis	13–11	-0.05	13%	10 Sept →
ancient	16–14	-0.03	14%	10 Sept →
anubis	13–7	0.04	3%	9 Sept →
mirage	13–1	0.05	17%	9 Sept →
anubis	4–13	-0.01	5%	7 Sept →
dust2	13–9	-0.04	19%	7 Sept →
ancient	13–9	0.06	12%	7 Sept →
inferno	13–2	0.01	15%	7 Sept →
anubis	13–11	-0.01	5%	5 Sept →
inferno	15–19	-0.06	17%	3 Sept →
ancient	10–13	-0.08	10%	2 Sept →
inferno	5–13	-0.00	13%	2 Sept →
dust2	13–8	-0.05	3%	2 Sept →
ancient	7–13	-0.06	8%	1 Sept →
inferno	9–13	-0.01	25%	1 Sept →
anubis	2–13	-0.03	28%	1 Sept →
inferno	13–8	-0.07	4%	31 Aug →
ancient	13–6	-0.02	11%	31 Aug →
inferno	6–13	-0.04	24%	31 Aug →
anubis	9–13	-0.09	11%	31 Aug →
dust2	13–11	-0.06	15%	31 Aug →
inferno	13–4	0.01	17%	31 Aug →
dust2	13–6	0.06	23%	31 Aug →
inferno	6–13	-0.09	11%	26 Aug →
cache	8–13	-0.05	8%	26 Aug →
ancient	6–13	-0.08	11%	25 Aug →
nuke	7–13	-0.08	9%	25 Aug →
inferno	4–13	-0.00	6%	25 Aug →
ancient	13–7	-0.02	7%	24 Aug →
nuke	4–13	-0.06	11%	22 Aug →
anubis	16–13	-0.02	13%	22 Aug →
dust2	2–13	-0.05	19%	22 Aug →
anubis	5–13	-0.03	24%	22 Aug →
inferno	4–13	-0.06	5%	22 Aug →
dust2	13–11	0.03	16%	21 Aug →
cache	7–13	-0.04	15%	21 Aug →
ancient	4–13	0.03	25%	21 Aug →
inferno	13–16	0.03	14%	21 Aug →
dust2	13–8	0.08	17%	21 Aug →
mirage	14–16	0.01	7%	21 Aug →
ancient	7–13	-0.03	8%	21 Aug →
anubis	8–13	-0.11	6%	21 Aug →
cache	16–14	-0.06	9%	20 Aug →
dust2	13–6	-0.02	20%	20 Aug →
anubis	13–16	-0.08	14%	20 Aug →
ancient	13–10	-0.03	17%	20 Aug →
cache	2–13	-0.04	21%	20 Aug →
mirage	8–13	-0.06	11%	20 Aug →
mirage	10–13	0.01	18%	20 Aug →
dust2	13–8	0.03	17%	19 Aug →
dust2	13–8	-0.03	21%	19 Aug →
dust2	8–13	-0.05	12%	18 Aug →
dust2	16–12	-0.00	10%	18 Aug →
inferno	0–13	-0.10	19%	18 Aug →
inferno	13–9	-0.02	15%	18 Aug →
mirage	13–6	-0.04	27%	18 Aug →
dust2	13–2	0.02	13%	18 Aug →
cache	9–13	-0.06	10%	15 Aug →
ancient	7–13	-0.05	5%	15 Aug →
nuke	13–10	-0.06	8%	15 Aug →