Diggelton Tipsson — CS2 Stats

76561198218680843[U:1:258415115]Steam profile ↗✓ No bans

705Tracked matches57%Win rate2021Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating19,359Purple band · top ~11% of ranked players (population est.)

CSDB Leaderboard#7498 of 15372 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning61

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLLLWLWLWLW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim8.5

Aggression9.0

Utility3.2

Positioning6.1

Opening Duels4.7

Clutch3.4

Sharp aimer

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 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; higher opening-fight frequency.

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. 566ms 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

Aim8.5

Positioning6.1

Utility3.2

Mechanics7.8

Opening Duels4.7

Win Impact7.2

Composite 6.6/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time564ms−117ms

first ⅓ avg 681ms → last ⅓ avg 564ms

Headshot accuracy18.7%−1.2%

first ⅓ avg 19.9% → last ⅓ avg 18.7%

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

0.17Best rating — mirage 8–0

13–2Biggest win — ancient

6Longest win streak

L3Current streak

10–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

vertigoBest map · 88% over 8nukeWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	20–13	61%	0.01
nuke	D	13	4–9	31%	-0.02
inferno	A	10	6–4	60%	0.00
ancient	A	9	5–4	56%	0.00
cache	D	9	3–6	33%	0.01
dust2	C	8	3–5	38%	0.00
vertigo	S	8	7–1	88%	0.00
anubis	B	6	3–3	50%	0.02
eldorado	—	2	1–1	50%	-0.06
overpass	—	1	1–0	100%	0.00
debris	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

296Matches

54%Win rate

0.94Avg K/D

71.5ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	121	58%	0.94	14.5
Nuke	41	49%	0.96	16.6
Cache	29	41%	1.03	13.8
Anubis	25	52%	1.08	15.5
Ancient	25	56%	0.80	12.5
Dust2	22	59%	0.99	13.9
Inferno	20	45%	0.82	14.3
Overpass	7	71%	0.92	12.4

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.

18.2%Headshot accuracy

39.4%Accuracy (enemy spotted)

40.3%Spray accuracy

84.9%Counter-strafing

8.7°Preaim

566msReaction time

48.5%T opening success

49.0%CT opening success

0.37Enemies flashed / flash

8.5%Flash assists

6.14HE damage / grenade

6.11Flashes / 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 0.3673 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	6–13	0.04	23%	27 Aug →
mirage	7–13	-0.01	9%	27 Aug →
cache	7–13	-0.04	15%	27 Aug →
mirage	13–7	-0.07	25%	26 Aug →
nuke	9–13	-0.04	10%	26 Aug →
nuke	13–8	-0.02	15%	25 Aug →
inferno	14–16	0.02	20%	25 Aug →
inferno	13–8	0.04	21%	23 Aug →
anubis	11–13	0.04	15%	23 Aug →
anubis	16–13	0.02	9%	22 Aug →
cache	13–11	0.04	16%	22 Aug →
cache	9–13	0.02	27%	22 Aug →
mirage	9–2	0.11	17%	22 Aug →
dust2	13–8	0.08	31%	22 Aug →
inferno	13–9	0.11	22%	22 Aug →
ancient	13–5	-0.06	21%	22 Aug →
mirage	9–13	0.08	23%	21 Aug →
nuke	16–14	0.00	17%	21 Aug →
cache	2–13	-0.02	26%	21 Aug →
mirage	13–4	0.01	26%	21 Aug →
mirage	13–10	-0.02	27%	21 Aug →
ancient	7–13	-0.10	11%	20 Aug →
nuke	11–13	-0.03	12%	20 Aug →
mirage	5–10	-0.07	14%	20 Aug →
anubis	7–0	0.06	24%	20 Aug →
mirage	9–13	0.04	15%	20 Aug →
vertigo	13–9	-0.06	8%	20 Aug →
vertigo	13–10	-0.01	15%	18 Aug →
ancient	16–14	0.00	18%	18 Aug →
dust2	16–14	0.02	23%	18 Aug →
inferno	3–9	-0.06	29%	17 Aug →
nuke	3–13	-0.06	22%	17 Aug →
inferno	13–9	-0.00	13%	17 Aug →
mirage	2–13	-0.02	30%	17 Aug →
mirage	16–13	-0.01	20%	16 Aug →
mirage	11–13	0.05	18%	16 Aug →
dust2	11–13	0.01	23%	16 Aug →
mirage	13–9	-0.02	33%	16 Aug →
anubis	5–13	-0.03	33%	16 Aug →
dust2	7–13	-0.01	24%	16 Aug →
ancient	13–2	0.04	7%	16 Aug →
mirage	9–13	-0.03	11%	14 Aug →
mirage	13–5	-0.02	21%	14 Aug →
nuke	4–13	-0.07	28%	14 Aug →
nuke	8–13	-0.03	22%	14 Aug →
nuke	7–13	-0.05	36%	13 Aug →
mirage	13–2	0.07	16%	13 Aug →
mirage	13–10	0.02	13%	13 Aug →
dust2	7–13	-0.04	15%	13 Aug →
cache	11–13	0.09	20%	13 Aug →
mirage	8–13	0.06	24%	12 Aug →
mirage	13–10	-0.02	19%	12 Aug →
nuke	13–16	-0.02	23%	12 Aug →
mirage	13–11	0.03	36%	12 Aug →
cache	4–13	0.00	33%	12 Aug →
ancient	16–13	-0.01	17%	12 Aug →
mirage	13–8	-0.00	13%	11 Aug →
nuke	13–8	0.04	31%	11 Aug →
vertigo	13–5	0.08	24%	11 Aug →
vertigo	25–21	-0.01	19%	10 Aug →
mirage	13–11	0.00	12%	9 Aug →
vertigo	8–13	-0.05	11%	9 Aug →
mirage	13–9	0.01	13%	9 Aug →
mirage	13–10	0.03	23%	9 Aug →
nuke	13–9	-0.01	11%	6 Aug →
anubis	5–13	0.05	24%	5 Aug →
overpass	9–4	0.00	19%	5 Aug →
nuke	10–13	-0.05	18%	4 Aug →
inferno	16–13	-0.06	7%	4 Aug →
mirage	10–13	-0.02	11%	4 Aug →
dust2	4–13	-0.08	21%	4 Aug →
mirage	13–11	-0.09	0%	3 Aug →
mirage	11–13	0.01	15%	3 Aug →
anubis	13–6	-0.02	16%	3 Aug →
inferno	4–13	-0.03	3%	3 Aug →
mirage	13–5	0.01	22%	3 Aug →
inferno	9–7	-0.05	20%	2 Aug →
mirage	10–13	-0.05	19%	2 Aug →
debris	8–8	-0.03	12%	2 Aug →
eldorado	5–9	-0.09	18%	2 Aug →
eldorado	9–7	-0.03	14%	2 Aug →
inferno	13–9	0.02	23%	1 Aug →
ancient	13–6	0.11	14%	31 Jul →
nuke	15–15	0.03	23%	30 Jul →
mirage	7–13	0.05	43%	30 Jul →
mirage	13–10	-0.04	9%	30 Jul →
dust2	13–8	-0.01	21%	30 Jul →
vertigo	13–7	0.03	17%	30 Jul →
vertigo	13–10	0.04	33%	30 Jul →
dust2	11–13	0.03	12%	30 Jul →
mirage	15–15	-0.04	13%	29 Jul →
mirage	13–3	0.04	22%	29 Jul →
mirage	8–0	0.17	33%	29 Jul →
cache	13–8	-0.01	19%	29 Jul →
ancient	9–13	0.02	28%	29 Jul →
cache	5–13	-0.02	32%	29 Jul →
inferno	3–13	0.01	48%	29 Jul →
vertigo	13–11	-0.01	36%	28 Jul →
ancient	11–13	-0.04	8%	28 Jul →
cache	13–10	0.03	24%	28 Jul →