david holmes — CS2 Stats

NZ76561198936942633[U:1:976676905]Steam profile ↗

639Tracked matches50%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning59

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLWWWLLLWL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.8

Aggression6.8

Utility6.1

Positioning5.9

Opening Duels3.9

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 iM 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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. 608ms 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

Aim6.8

Positioning5.9

Utility6.1

Mechanics7.0

Opening Duels3.9

Win Impact5.0

Composite 6.1/10 (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 rating-0.01−0.05

first ⅓ avg 0.05 → last ⅓ avg -0.01

Reaction time602ms−61ms

first ⅓ avg 663ms → last ⅓ avg 602ms

Headshot accuracy26.6%+1.1%

first ⅓ avg 25.4% → last ⅓ avg 26.6%

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

0.16Best rating — dust2 6–13

13–1Biggest win — ancient

5Longest win streak

13–4In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 65% over 43mirageWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	43	28–15	65%	0.02
ancient	C	17	7–10	41%	0.04
mirage	C	13	5–8	38%	-0.03
nuke	B	13	6–7	46%	0.02
inferno	B	6	3–3	50%	0.01
anubis	—	4	1–3	25%	-0.03
cache	—	2	2–0	100%	0.08
overpass	—	1	0–1	0%	-0.01
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

27.0%Headshot accuracy

29.1%Accuracy (enemy spotted)

27.1%Spray accuracy

81.5%Counter-strafing

8.7°Preaim

608msReaction time

39.6%T opening success

51.4%CT opening success

0.63Enemies flashed / flash

4.3%Flash assists

11.09HE damage / grenade

13.43Flashes / 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 39.5692% — 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.

38% win rate across 13 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
ancient	13–10	0.07	30%	7 Aug →
inferno	4–13	-0.02	19%	7 Aug →
mirage	13–11	-0.07	14%	31 Jul →
cache	13–11	0.08	28%	31 Jul →
dust2	13–5	-0.04	33%	31 Jul →
dust2	6–13	-0.02	36%	30 Jul →
mirage	6–13	-0.02	28%	30 Jul →
inferno	8–13	-0.00	32%	27 Jul →
ancient	13–10	0.01	32%	27 Jul →
ancient	4–13	0.02	38%	27 Jul →
ancient	4–13	-0.01	20%	26 Jul →
dust2	13–8	-0.00	28%	23 Jul →
dust2	10–13	-0.06	22%	13 Jul →
anubis	1–13	-0.03	26%	13 Jul →
dust2	13–2	0.00	24%	13 Jul →
mirage	13–6	0.01	30%	13 Jul →
dust2	13–10	0.02	20%	13 Jul →
anubis	11–13	-0.01	35%	12 Jul →
cache	16–13	0.08	20%	12 Jul →
ancient	13–2	0.02	23%	12 Jul →
dust2	13–9	0.11	19%	12 Jul →
ancient	8–13	0.04	21%	12 Jul →
nuke	13–8	0.02	39%	29 Jun →
mirage	3–13	-0.04	33%	22 Jun →
anubis	13–9	-0.07	33%	4 Jun →
dust2	2–13	-0.07	29%	31 May →
dust2	3–13	-0.06	28%	31 May →
dust2	7–13	-0.05	32%	31 May →
nuke	13–6	-0.03	27%	19 May →
mirage	9–13	-0.05	19%	19 May →
ancient	1–13	-0.04	13%	24 Apr →
dust2	16–14	-0.03	26%	24 Apr →
dust2	16–14	0.04	19%	11 Apr →
dust2	13–4	0.04	27%	11 Apr →
dust2	13–11	-0.02	18%	11 Apr →
dust2	4–13	0.05	37%	11 Apr →
ancient	8–13	0.04	28%	1 Apr →
dust2	13–3	0.06	11%	1 Apr →
mirage	3–13	-0.00	10%	27 Mar →
dust2	7–13	-0.07	15%	27 Mar →
mirage	8–13	-0.05	14%	27 Mar →
dust2	13–11	-0.04	38%	27 Mar →
dust2	1–13	-0.07	9%	26 Mar →
inferno	13–6	0.02	11%	26 Mar →
mirage	3–13	-0.01	29%	26 Mar →
dust2	11–1	0.02	13%	26 Mar →
nuke	13–6	-0.01	25%	23 Mar →
mirage	4–13	-0.07	32%	19 Mar →
ancient	14–16	0.05	24%	17 Mar →
mirage	13–11	-0.02	31%	17 Mar →
ancient	13–6	0.04	21%	17 Mar →
nuke	7–13	-0.04	14%	13 Mar →
nuke	13–16	0.01	23%	10 Mar →
inferno	13–9	0.04	24%	9 Mar →
dust2	4–0	0.12	14%	28 Feb →
mirage	16–14	-0.07	9%	17 Feb →
mirage	13–5	0.07	27%	15 Feb →
dust2	13–11	0.08	25%	15 Feb →
inferno	9–13	-0.03	14%	14 Feb →
anubis	7–13	-0.01	15%	14 Feb →
nuke	13–6	0.02	25%	14 Feb →
dust2	13–11	-0.00	34%	14 Feb →
ancient	8–13	0.08	30%	14 Feb →
dust2	13–8	0.04	29%	14 Feb →
dust2	13–4	0.06	24%	14 Feb →
mirage	7–13	-0.05	19%	14 Feb →
dust2	13–11	-0.06	26%	13 Feb →
dust2	13–3	0.07	21%	13 Feb →
ancient	8–13	0.03	16%	5 Feb →
dust2	13–6	0.05	23%	5 Feb →
dust2	16–12	0.10	28%	5 Feb →
dust2	13–11	0.05	16%	18 Jan →
nuke	6–13	0.00	17%	17 Dec →
ancient	13–3	0.04	38%	17 Dec →
dust2	13–6	0.15	22%	17 Dec →
dust2	13–10	0.07	28%	16 Dec →
ancient	13–1	0.08	29%	16 Dec →
inferno	13–10	0.02	26%	16 Dec →
dust2	9–13	0.00	28%	15 Dec →
ancient	11–13	-0.02	30%	13 Dec →
overpass	10–13	-0.01	9%	13 Dec →
dust2	10–13	0.07	28%	13 Dec →
dust2	6–13	0.16	20%	13 Dec →
dust2	13–6	0.12	36%	13 Dec →
train	13–10	0.09	31%	13 Dec →
ancient	16–14	0.07	27%	13 Dec →
nuke	7–13	0.07	30%	12 Dec →
dust2	15–15	0.03	26%	12 Dec →
dust2	6–13	-0.04	17%	12 Dec →
dust2	13–3	0.04	47%	12 Dec →
dust2	9–13	0.08	31%	11 Dec →
nuke	15–15	-0.02	27%	11 Dec →
nuke	14–16	0.06	29%	11 Dec →
nuke	13–9	-0.02	17%	11 Dec →
dust2	13–16	-0.09	15%	11 Dec →
dust2	16–13	0.00	35%	1 Dec →
dust2	13–5	0.04	18%	1 Dec →
ancient	13–16	0.07	18%	18 Nov →
nuke	16–12	0.08	22%	18 Nov →
nuke	7–13	0.07	35%	18 Nov →