Daffyd Thomas — CS2 Stats

VG76561198930353810[U:1:970088082]Steam profile ↗✓ No bans

691Tracked matches45%Win rate2020Tracked since

1,994Hours in CS9Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating17,715Purple band · top ~17.6% of ranked players (population est.)

CSDB Leaderboard#25123 of 50238 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median	Level 4 median	vs Level 4
Headshot rate	33.7%	42.2%	42.7%	9.0% short
Shot accuracy	17.5%	11.9%	10.8%	above
Kill/death ratio	0.87	0.98	1.00	0.13 short
Match win rate	39.5%	43.6%	44.1%	4.6% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim56

Positioning32

Utility48

0–100 skill scores via Leetify.

Recent form

COLD38–53–9Last 10038%Win rateTLLLWLWLWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.6

Aggression2.4

Utility4.8

Positioning3.2

Opening Duels0.0

Clutch6.0

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 NiKo 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 651ms 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

Aim5.6

Positioning3.2

Utility4.8

Mechanics5.2

Opening Duels0.0

Win Impact3.3

Composite 4.2/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time656ms−60ms

first ⅓ avg 716ms → last ⅓ avg 656ms

Headshot accuracy16.5%+1.5%

first ⅓ avg 15.0% → last ⅓ avg 16.5%

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

0.09Best rating — nuke 13–3

13–2Biggest win — dust2

5Longest win streak

9–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	9–13	41%	-0.02
dust2	D	16	5–11	31%	-0.03
anubis	D	14	4–10	29%	-0.04
inferno	D	12	4–8	33%	-0.03
cache	A	8	5–3	63%	-0.03
nuke	D	7	2–5	29%	0.01
overpass	S	5	4–1	80%	0.01
office	—	4	1–3	25%	-0.03
ancient	—	4	2–2	50%	-0.04
vertigo	—	2	1–1	50%	-0.03
fachwerk	—	2	1–1	50%	0.00
alpine	—	2	0–2	0%	-0.02
boulder	—	1	0–1	0%	-0.11
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,905Lifetime kills

0.87K/D

2,733Matches

39.5%Match win rate

33.7%Headshot %

17.5%Shot accuracy · Top 25% of Level 3 players

4,548MVPs

1,068Hours (in match)

2,079Bombs planted

509Bombs defused

Most-used weapons

AK-4710,611

M4A4 / M4A1-S7,102

SG 5534,208

AWP3,790

Desert Eagle2,563

AUG2,551

P2000 / USP-S1,826

Galil AR1,697

FAMAS1,597

SSG 081,161

Lifetime map wins

3,158inferno

3,067dust2

2,451nuke

1,117vertigo

855train

622office

303lake

199italy

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

Faceit stats

Combat

124Matches

44%Win rate

0.85Avg K/D

69.4ADR

33%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	33%	0.71	11.0
Vertigo	3	0%	0.64	11.3
Anubis	2	0%	0.51	11.0
Dust2	1	0%	0.48	11.0
Inferno	1	100%	1.44	23.0
Nuke	1	0%	0.27	4.0
Ancient	1	0%	0.82	18.0

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.

15.0%Headshot accuracy

36.1%Accuracy (enemy spotted)

32.2%Spray accuracy

73.6%Counter-strafing

9.1°Preaim

651msReaction time

18.3%T opening success

30.2%CT opening success

0.74Enemies flashed / flash

6.3%Flash assists

13.82HE damage / grenade

4.36Flashes / 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 18.2707% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	12–12	-0.04	22%	24 Aug →
ancient	6–13	-0.05	7%	24 Aug →
dust2	7–13	-0.09	17%	24 Aug →
overpass	11–13	-0.01	26%	23 Aug →
cache	13–8	-0.05	11%	23 Aug →
mirage	5–13	-0.01	5%	23 Aug →
dust2	13–8	-0.02	32%	23 Aug →
anubis	11–13	-0.05	9%	23 Aug →
dust2	16–13	0.02	9%	23 Aug →
mirage	6–13	-0.06	16%	18 Aug →
inferno	13–6	0.00	15%	18 Aug →
nuke	7–13	-0.05	27%	14 Aug →
mirage	13–9	0.00	9%	14 Aug →
inferno	9–13	-0.02	7%	14 Aug →
mirage	1–13	-0.11	21%	14 Aug →
ancient	13–8	-0.05	19%	11 Aug →
anubis	13–7	0.05	12%	11 Aug →
mirage	10–13	0.04	19%	11 Aug →
nuke	5–13	0.01	12%	11 Aug →
cache	9–13	0.01	13%	11 Aug →
dust2	16–14	-0.04	13%	5 Aug →
mirage	13–6	-0.04	14%	5 Aug →
mirage	13–11	0.01	13%	5 Aug →
anubis	13–10	-0.06	8%	4 Aug →
inferno	14–16	-0.03	11%	4 Aug →
nuke	13–3	0.09	15%	4 Aug →
anubis	10–13	-0.05	14%	4 Aug →
anubis	13–11	-0.01	13%	3 Aug →
mirage	4–13	-0.02	25%	3 Aug →
office	5–13	-0.05	24%	2 Aug →
anubis	2–13	-0.07	43%	2 Aug →
inferno	8–13	-0.02	22%	29 Jul →
vertigo	13–11	-0.01	21%	29 Jul →
anubis	6–13	0.00	19%	29 Jul →
fachwerk	12–12	-0.00	24%	29 Jul →
office	13–3	-0.05	25%	28 Jul →
boulder	10–13	-0.11	9%	28 Jul →
fachwerk	13–7	0.01	16%	28 Jul →
overpass	13–9	0.03	16%	28 Jul →
dust2	12–12	0.03	16%	28 Jul →
cache	5–2	-0.08	33%	28 Jul →
inferno	12–12	-0.00	10%	25 Jul →
train	12–12	-0.03	19%	25 Jul →
nuke	13–3	0.08	10%	25 Jul →
mirage	8–13	-0.00	11%	25 Jul →
overpass	13–9	0.01	9%	24 Jul →
inferno	3–13	0.01	14%	24 Jul →
inferno	8–13	-0.05	15%	24 Jul →
nuke	4–13	-0.02	10%	24 Jul →
vertigo	12–12	-0.05	21%	24 Jul →
anubis	6–13	-0.05	16%	22 Jul →
ancient	4–13	-0.04	12%	22 Jul →
mirage	10–13	0.03	11%	22 Jul →
dust2	5–13	-0.05	13%	22 Jul →
anubis	7–13	-0.09	16%	22 Jul →
mirage	13–11	0.07	10%	21 Jul →
mirage	15–15	-0.02	10%	21 Jul →
mirage	1–13	-0.05	17%	21 Jul →
anubis	13–5	0.01	8%	21 Jul →
dust2	13–4	0.05	15%	20 Jul →
dust2	12–12	-0.04	12%	20 Jul →
inferno	9–13	-0.03	13%	20 Jul →
anubis	8–13	-0.05	11%	19 Jul →
dust2	10–13	0.00	18%	19 Jul →
mirage	3–13	-0.10	5%	19 Jul →
cache	6–6	0.03	35%	19 Jul →
mirage	4–13	-0.06	11%	19 Jul →
inferno	3–13	-0.08	4%	19 Jul →
anubis	10–13	-0.07	14%	19 Jul →
dust2	10–13	-0.09	3%	19 Jul →
nuke	9–13	-0.01	8%	15 Jul →
dust2	5–13	-0.06	4%	15 Jul →
mirage	13–4	-0.03	16%	15 Jul →
anubis	4–13	-0.08	14%	14 Jul →
inferno	16–14	-0.07	16%	14 Jul →
cache	8–13	-0.08	21%	14 Jul →
inferno	8–1	-0.04	30%	13 Jul →
dust2	13–2	0.04	25%	13 Jul →
nuke	2–13	-0.05	15%	13 Jul →
inferno	13–6	-0.08	9%	13 Jul →
dust2	8–13	-0.05	19%	11 Jul →
mirage	13–8	0.05	16%	11 Jul →
cache	13–11	-0.02	9%	11 Jul →
cache	8–2	-0.02	8%	11 Jul →
ancient	13–11	-0.03	21%	8 Jul →
mirage	7–0	-0.04	22%	8 Jul →
dust2	5–13	-0.07	4%	8 Jul →
cache	3–13	-0.01	28%	8 Jul →
office	10–13	0.00	11%	8 Jul →
overpass	13–3	-0.01	21%	7 Jul →
mirage	13–7	0.07	21%	7 Jul →
dust2	4–13	-0.02	19%	7 Jul →
mirage	13–3	-0.01	16%	7 Jul →
alpine	5–13	-0.03	8%	4 Jul →
overpass	13–8	0.00	10%	4 Jul →
anubis	12–12	-0.02	20%	4 Jul →
mirage	7–13	-0.03	13%	4 Jul →
dust2	5–13	-0.02	9%	4 Jul →
alpine	7–13	-0.01	26%	3 Jul →
mirage	7–13	-0.07	14%	3 Jul →

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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