Waldo — CS2 Stats

76561198938140581[U:1:977874853]Steam profile ↗✓ No bans

900Tracked matches48%Win rate2022Tracked since

813Hours in CS1Hrs last 2 wks

CSDB Rating4.4 DevelopingClutch Specialist

WingmanSilver IV

Ladder ranks via Leetify

Performance scores

Aim44

Positioning51

Utility8

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateLLTLLLWWLL

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.4

Aggression7.8

Utility0.8

Positioning5.1

Opening Duels4.0

Clutch9.4

Limited utility dependenceReliable in 1v1s

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 76% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 670ms 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

Aim4.4

Positioning5.1

Utility0.8

Mechanics7.1

Opening Duels4.0

Win Impact4.4

Composite 4.4/10 (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 rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time653ms+8ms

first ⅓ avg 645ms → last ⅓ avg 653ms

Headshot accuracy14.1%−3.2%

first ⅓ avg 17.3% → last ⅓ avg 14.1%

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

0.20Best rating — cache 13–1

13–1Biggest win — cache

7Longest win streak

L2Current streak

2–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

trainBest map · 80% over 5ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	11–12	48%	0.01
dust2	C	18	7–11	39%	0.01
cache	A	14	8–6	57%	0.01
nuke	C	10	4–6	40%	0.01
inferno	C	7	3–4	43%	0.00
train	S	5	4–1	80%	0.05
vertigo	C	5	2–3	40%	0.08
anubis	A	5	3–2	60%	0.02
ancient	D	5	1–4	20%	-0.01
overpass	—	3	2–1	67%	-0.01
office	—	2	1–1	50%	0.03
alpine	—	1	0–1	0%	0.01
poseidon	—	1	0–1	0%	-0.00
sanctum	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,872Lifetime kills

1.08K/D · Top 50% of tracked players

1,383Matches

37.2%Match win rate

43.5%Headshot %

1.9%Shot accuracy

2,530MVPs

406Hours (in match)

466Bombs planted

191Bombs defused

Most-used weapons

AK-477,195

M4A4 / M4A1-S4,242

AWP2,153

P901,440

P2000 / USP-S1,187

Glock-18967

MP7794

MAC-10696

Desert Eagle596

XM1014356

Lifetime map wins

2,739dust2

1,392nuke

1,029inferno

812vertigo

431train

118office

31ar_shoots

23ar_baggage

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

Faceit stats

Combat

11Matches

36%Win rate

0.67Avg K/D

77.7ADR

35%Headshot %

Clutches & streaks

67%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	0%	0.54	8.5
Overpass	1	100%	0.78	14.0
Dust2	1	0%	0.29	4.0
Ancient	1	100%	1.69	27.0

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.

14.6%Headshot accuracy

28.4%Accuracy (enemy spotted)

32.2%Spray accuracy

82.0%Counter-strafing

10.2°Preaim

670msReaction time

42.2%T opening success

50.2%CT opening success

0.14Enemies flashed / flash

0.0%Flash assists

2.89HE damage / grenade

1.57Flashes / 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 14.6394% — 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 0.1419 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.04	13%	27 Aug →
dust2	7–13	0.03	11%	14 Aug →
cache	12–12	-0.03	20%	13 Aug →
train	5–13	-0.04	11%	12 Aug →
nuke	2–13	0.01	19%	12 Aug →
mirage	11–13	-0.02	14%	12 Aug →
mirage	13–2	0.03	21%	12 Aug →
cache	13–10	-0.01	10%	12 Aug →
dust2	11–13	0.01	24%	12 Aug →
dust2	10–13	-0.05	19%	10 Aug →
mirage	9–13	-0.07	18%	10 Aug →
cache	13–3	0.03	10%	9 Aug →
mirage	8–13	-0.02	19%	9 Aug →
dust2	13–8	0.05	15%	9 Aug →
dust2	13–10	0.03	13%	9 Aug →
mirage	13–6	-0.01	19%	9 Aug →
dust2	1–3	0.00	0%	9 Aug →
overpass	13–7	-0.01	6%	9 Aug →
cache	9–13	-0.07	17%	9 Aug →
mirage	13–7	0.07	6%	9 Aug →
cache	5–13	0.01	20%	9 Aug →
cache	13–4	0.06	21%	8 Aug →
cache	13–3	0.00	9%	8 Aug →
mirage	6–13	0.00	12%	8 Aug →
cache	9–13	-0.04	10%	8 Aug →
mirage	13–4	0.07	16%	8 Aug →
mirage	13–7	0.01	14%	8 Aug →
mirage	13–2	0.01	14%	8 Aug →
cache	5–13	-0.04	13%	8 Aug →
mirage	13–8	0.00	10%	8 Aug →
cache	13–3	0.02	13%	8 Aug →
vertigo	10–13	0.09	13%	8 Aug →
cache	13–9	0.06	15%	7 Aug →
vertigo	13–7	0.10	12%	7 Aug →
cache	13–9	0.10	12%	7 Aug →
office	11–13	-0.04	20%	7 Aug →
dust2	13–5	0.03	14%	7 Aug →
mirage	3–9	-0.07	13%	7 Aug →
office	13–3	0.09	13%	7 Aug →
cache	3–13	-0.10	6%	7 Aug →
cache	13–1	0.20	17%	6 Aug →
mirage	13–8	0.01	21%	6 Aug →
inferno	7–13	-0.08	17%	6 Aug →
mirage	7–13	-0.04	12%	21 Jul →
dust2	8–13	-0.05	16%	29 Jun →
anubis	13–9	0.04	27%	28 Jun →
dust2	13–10	0.01	25%	28 Jun →
ancient	5–13	-0.07	15%	22 Jun →
nuke	13–8	-0.01	34%	21 Jun →
mirage	15–15	0.05	19%	21 Jun →
anubis	13–7	0.09	27%	21 Jun →
nuke	11–13	0.01	18%	18 Jun →
ancient	8–13	0.02	19%	18 Jun →
dust2	6–13	-0.02	21%	25 Feb →
alpine	6–13	0.01	8%	24 Feb →
poseidon	5–9	-0.00	14%	24 Feb →
sanctum	4–9	0.05	22%	24 Feb →
nuke	8–8	0.06	9%	24 Feb →
vertigo	8–8	0.05	21%	24 Feb →
nuke	5–13	-0.07	11%	24 Feb →
dust2	2–13	-0.06	12%	24 Feb →
vertigo	10–13	-0.02	16%	17 Feb →
train	13–8	0.09	16%	17 Feb →
anubis	3–13	-0.06	12%	3 Feb →
ancient	11–13	0.02	19%	3 Feb →
nuke	7–13	0.02	21%	31 Jan →
inferno	16–14	0.06	21%	31 Jan →
nuke	11–0	0.13	24%	31 Jan →
dust2	7–13	-0.03	21%	31 Jan →
ancient	13–10	-0.03	15%	31 Jan →
nuke	10–4	-0.05	15%	31 Jan →
mirage	11–13	0.08	24%	31 Jan →
mirage	13–9	-0.02	26%	31 Jan →
inferno	13–4	-0.01	2%	30 Jan →
nuke	8–13	0.00	11%	30 Jan →
dust2	13–9	0.10	22%	30 Jan →
anubis	13–7	-0.00	12%	29 Jan →
mirage	13–16	0.06	20%	28 Jan →
inferno	0–13	-0.07	6%	28 Jan →
dust2	0–13	-0.05	16%	27 Jan →
ancient	10–13	0.03	19%	27 Jan →
overpass	2–13	-0.03	19%	27 Jan →
mirage	0–13	-0.09	10%	27 Jan →
inferno	15–15	0.05	17%	27 Jan →
vertigo	13–6	0.18	28%	27 Jan →
mirage	13–7	0.00	14%	26 Jan →
mirage	10–13	-0.01	16%	23 Jan →
anubis	6–13	0.06	16%	23 Jan →
dust2	5–13	0.07	17%	23 Jan →
nuke	13–9	-0.01	21%	23 Jan →
dust2	13–1	0.15	28%	23 Jan →
dust2	2–13	-0.07	13%	16 Jan →
mirage	11–13	0.01	13%	16 Jan →
inferno	13–10	0.08	11%	15 Jan →
train	13–9	-0.00	17%	15 Jan →
train	13–5	0.05	21%	15 Jan →
overpass	16–14	0.02	14%	15 Jan →
train	13–7	0.13	31%	15 Jan →
mirage	13–5	0.15	18%	15 Jan →
dust2	13–9	-0.03	15%	14 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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