Widwam — CS2 Stats

US76561198796439600[U:1:836173872]Steam profile ↗✓ No bans

1,005Tracked matches63%Win rate2025Tracked since

703Hours in CS3Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim81

Positioning58

Utility16

0–100 skill scores via Leetify.

Recent form

STEADY52–40–8Last 10052%Win rateLWLLLWWTWL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

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

Aim8.1

Aggression8.0

Utility1.6

Positioning5.8

Opening Duels3.9

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.

Your pro match

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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.

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

Aim8.1

Positioning5.8

Utility1.6

Mechanics6.7

Opening Duels3.9

Win Impact9.3

Composite 6.2/10 (Solid), 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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time547ms−31ms

first ⅓ avg 579ms → last ⅓ avg 547ms

Headshot accuracy19.9%+1.3%

first ⅓ avg 18.6% → last ⅓ avg 19.9%

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

0.21Best rating — italy 13–5

13–0Biggest win — dust2

5Longest win streak

7–6In matches decided by ≤2 rounds

Map breakdown

officeBest map · 69% over 13infernoWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
office	S	13	9–4	69%	0.06
inferno	D	13	3–10	23%	0.02
dust2	B	12	6–6	50%	0.05
nuke	A	11	7–4	64%	0.06
mirage	B	10	5–5	50%	0.06
vertigo	B	8	4–4	50%	0.04
italy	A	8	5–3	63%	0.05
anubis	S	6	4–2	67%	0.08
train	B	6	3–3	50%	0.07
ancient	A	5	3–2	60%	0.05
cache	—	3	2–1	67%	0.01
overpass	—	2	0–2	0%	-0.02
boulder	—	1	0–1	0%	0.16
shelter	—	1	1–0	100%	0.06
eldorado	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,902Lifetime kills

1.17K/D · Top 25% of tracked players

1,230Matches

48.3%Match win rate · Top 50% of tracked players

44.3%Headshot %

0.4%Shot accuracy

3,460MVPs

408Hours (in match)

712Bombs planted

280Bombs defused

Most-used weapons

AK-477,595

M4A4 / M4A1-S4,646

AWP2,041

P2000 / USP-S1,081

Glock-18952

Desert Eagle747

XM1014440

SSG 08393

MAC-10366

MP7365

Lifetime map wins

1,631dust2

1,295inferno

1,202nuke

1,062vertigo

816office

783train

290italy

26cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.6%Headshot accuracy

36.3%Accuracy (enemy spotted)

32.7%Spray accuracy

80.3%Counter-strafing

7.1°Preaim

548msReaction time

39.9%T opening success

51.7%CT opening success

0.26Enemies flashed / flash

3.1%Flash assists

8.64HE damage / grenade

1.21Flashes / 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.

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 0.2578 — 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 39.9094% — below the 40% mark we flag

Spend your practice time on Inferno

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	0.02	21%	27 Aug →
office	13–8	0.11	34%	27 Aug →
inferno	7–9	0.04	19%	24 Aug →
vertigo	5–9	-0.02	16%	24 Aug →
inferno	7–13	0.01	21%	24 Aug →
anubis	13–7	0.15	19%	24 Aug →
train	13–5	0.13	15%	12 Aug →
mirage	12–12	0.10	14%	12 Aug →
nuke	9–5	0.05	16%	12 Aug →
inferno	6–13	-0.00	20%	11 Aug →
vertigo	13–10	0.01	18%	11 Aug →
anubis	13–8	0.02	12%	11 Aug →
nuke	13–3	0.15	17%	11 Aug →
dust2	13–7	0.00	15%	11 Aug →
office	2–13	0.02	32%	11 Aug →
mirage	13–3	0.09	27%	9 Aug →
cache	13–3	0.04	26%	9 Aug →
office	13–9	0.03	17%	8 Aug →
inferno	13–6	0.05	11%	8 Aug →
ancient	8–13	0.05	11%	8 Aug →
dust2	9–13	0.01	23%	8 Aug →
vertigo	10–13	-0.05	18%	3 Aug →
dust2	6–13	0.11	16%	3 Aug →
office	9–13	0.06	43%	3 Aug →
dust2	12–12	0.01	19%	3 Aug →
vertigo	13–11	0.07	19%	29 Jul →
office	11–6	0.04	25%	29 Jul →
dust2	13–5	0.01	22%	28 Jul →
office	13–5	0.07	27%	28 Jul →
overpass	2–9	-0.03	30%	28 Jul →
nuke	8–8	0.06	13%	28 Jul →
overpass	8–13	-0.01	13%	26 Jul →
inferno	12–12	-0.01	8%	24 Jul →
italy	13–5	0.02	18%	24 Jul →
vertigo	13–9	0.05	15%	24 Jul →
anubis	13–5	-0.04	19%	24 Jul →
mirage	11–13	0.08	13%	20 Jul →
vertigo	12–12	0.03	11%	20 Jul →
italy	11–13	0.01	19%	20 Jul →
ancient	12–12	0.05	15%	19 Jul →
nuke	7–13	-0.03	28%	19 Jul →
inferno	5–13	-0.01	27%	19 Jul →
italy	13–11	0.08	15%	18 Jul →
ancient	13–8	0.09	19%	18 Jul →
office	13–4	0.07	20%	18 Jul →
boulder	12–12	0.16	22%	18 Jul →
mirage	13–8	0.11	14%	17 Jul →
dust2	9–13	0.03	8%	16 Jul →
train	13–10	0.04	16%	16 Jul →
vertigo	13–6	0.11	15%	16 Jul →
anubis	10–13	0.19	17%	16 Jul →
dust2	13–1	0.14	18%	16 Jul →
office	13–11	0.07	21%	16 Jul →
mirage	8–13	0.07	17%	12 Jul →
shelter	13–10	0.06	27%	12 Jul →
italy	13–5	0.21	19%	12 Jul →
train	13–6	0.06	20%	12 Jul →
dust2	13–5	0.02	25%	12 Jul →
inferno	9–13	0.07	15%	12 Jul →
eldorado	3–9	0.04	12%	11 Jul →
office	8–13	0.08	26%	11 Jul →
mirage	13–7	-0.01	13%	11 Jul →
inferno	7–9	0.03	27%	11 Jul →
nuke	9–5	0.18	18%	11 Jul →
office	13–11	0.03	16%	8 Jul →
office	13–10	0.07	29%	8 Jul →
nuke	13–9	-0.01	31%	7 Jul →
inferno	13–8	-0.00	12%	7 Jul →
inferno	6–9	0.02	7%	7 Jul →
dust2	10–13	0.02	26%	7 Jul →
nuke	8–13	-0.02	10%	7 Jul →
office	13–6	0.08	23%	6 Jul →
mirage	13–10	0.10	5%	6 Jul →
nuke	13–3	0.15	18%	6 Jul →
italy	13–1	0.08	21%	5 Jul →
inferno	13–2	0.02	18%	5 Jul →
nuke	11–13	0.04	18%	5 Jul →
dust2	13–0	0.15	33%	5 Jul →
train	4–7	0.03	4%	4 Jul →
ancient	13–11	0.01	12%	4 Jul →
mirage	10–13	0.00	14%	2 Jul →
inferno	11–13	0.04	11%	2 Jul →
dust2	8–13	-0.03	17%	30 Jun →
nuke	13–11	0.04	17%	30 Jun →
anubis	9–13	0.03	22%	29 Jun →
cache	13–10	-0.03	21%	29 Jun →
train	10–13	0.05	14%	28 Jun →
inferno	9–13	-0.03	14%	28 Jun →
anubis	13–2	0.17	23%	27 Jun →
train	10–13	0.09	53%	27 Jun →
mirage	6–13	0.00	22%	27 Jun →
italy	13–10	0.11	18%	26 Jun →
nuke	13–11	0.06	13%	26 Jun →
italy	6–13	-0.02	29%	26 Jun →
dust2	13–3	0.16	15%	26 Jun →
mirage	13–10	0.04	23%	24 Jun →
vertigo	12–12	0.10	27%	23 Jun →
office	2–12	0.05	44%	23 Jun →
ancient	13–6	0.07	11%	23 Jun →
italy	4–13	-0.09	0%	21 Jun →