Prins — CS2 Stats

76561198011818861[U:1:51553133]

550Tracked matches52%Win rate2024Tracked since

CSDB Rating4.2 Developing

Premier CS Rating15,167Purple band · top ~27.7% of ranked players (population est.)

CSDB Leaderboard#29947 of 50260 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning42

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLWWWLLWLW

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

Player DNA

Aim4.6

Aggression4.0

Utility5.2

Positioning4.2

Opening Duels0.2

Clutch0.0

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 76% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 43% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6

Positioning4.2

Utility5.2

Mechanics3.3

Opening Duels1.6

Win Impact5.6

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+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.02

Reaction time597ms−21ms

first ⅓ avg 618ms → last ⅓ avg 597ms

Headshot accuracy12.2%+0.5%

first ⅓ avg 11.7% → last ⅓ avg 12.2%

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 13–4

13–3Biggest win — nuke

5Longest win streak

L2Current streak

6–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 64% over 11infernoWeakest map · 39% over 23

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	10–15	40%	-0.04
inferno	C	23	9–14	39%	-0.03
mirage	B	17	9–8	53%	-0.04
dust2	A	11	7–4	64%	-0.02
cache	B	10	5–5	50%	-0.03
ancient	A	9	5–4	56%	-0.03
overpass	—	2	1–1	50%	-0.02
eldorado	—	1	1–0	100%	0.00
poseidon	—	1	1–0	100%	-0.09
anubis	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches

62%Win rate

1.06Avg K/D

89.7ADR

35%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	5	80%	1.52	11.8
Mirage	5	40%	0.61	8.6
Nuke	2	50%	0.78	13.5
Dust2	1	0%	0.77	10.0
Anubis	1	100%	1.00	14.0
Overpass	1	100%	1.50	9.0
Ancient	1	100%	1.47	22.0

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.

12.0%Headshot accuracy

35.9%Accuracy (enemy spotted)

40.3%Spray accuracy

64.9%Counter-strafing

12.3°Preaim

594msReaction time

18.9%T opening success

42.6%CT opening success

0.56Enemies flashed / flash

5.1%Flash assists

7.22HE damage / grenade

11.37Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3492° — above the 12° mark we flag
Aim Training →
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 11.9514% — below the 15% mark we flag
Aim Training →

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.

39% win rate across 23 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
nuke	11–13	-0.03	22%	27 Aug →
inferno	9–13	0.01	6%	27 Aug →
nuke	13–4	0.09	17%	27 Aug →
nuke	13–10	-0.02	4%	25 Aug →
mirage	13–7	0.03	24%	25 Aug →
inferno	4–13	-0.07	4%	25 Aug →
inferno	11–13	0.02	18%	24 Aug →
dust2	16–12	-0.10	8%	23 Aug →
mirage	5–13	-0.05	9%	23 Aug →
dust2	13–4	0.02	20%	23 Aug →
nuke	9–13	-0.05	8%	23 Aug →
inferno	15–15	-0.05	9%	19 Aug →
cache	5–13	-0.06	13%	18 Aug →
ancient	16–13	0.01	9%	18 Aug →
mirage	8–13	-0.05	10%	16 Aug →
nuke	9–13	-0.02	11%	16 Aug →
mirage	16–13	-0.06	13%	13 Aug →
nuke	11–13	-0.03	5%	13 Aug →
cache	16–13	0.05	7%	13 Aug →
nuke	16–12	-0.03	17%	12 Aug →
cache	13–6	-0.03	9%	10 Aug →
nuke	16–12	-0.03	21%	5 Aug →
dust2	13–9	0.02	12%	5 Aug →
inferno	10–13	-0.05	21%	4 Aug →
mirage	7–13	-0.06	8%	3 Aug →
inferno	13–7	-0.04	10%	3 Aug →
eldorado	9–6	0.00	8%	3 Aug →
poseidon	9–3	-0.09	12%	3 Aug →
ancient	13–11	0.02	10%	29 Jul →
mirage	13–10	-0.04	15%	29 Jul →
nuke	11–13	-0.03	9%	25 Jul →
inferno	7–13	-0.05	16%	25 Jul →
mirage	12–16	0.03	16%	24 Jul →
ancient	4–13	-0.05	18%	24 Jul →
mirage	8–13	-0.06	12%	24 Jul →
cache	13–6	-0.01	5%	24 Jul →
nuke	13–7	-0.03	20%	24 Jul →
inferno	16–14	-0.01	14%	23 Jul →
cache	13–9	-0.01	13%	23 Jul →
mirage	13–5	-0.01	18%	23 Jul →
nuke	10–13	-0.02	16%	23 Jul →
mirage	13–11	-0.02	13%	22 Jul →
cache	10–13	-0.07	22%	22 Jul →
ancient	7–13	-0.04	7%	22 Jul →
cache	9–13	-0.04	7%	21 Jul →
ancient	11–13	-0.05	8%	21 Jul →
dust2	11–13	0.05	20%	21 Jul →
anubis	3–13	-0.05	14%	20 Jul →
inferno	13–10	-0.02	11%	20 Jul →
ancient	13–7	-0.04	9%	15 Jul →
cache	13–5	-0.01	15%	15 Jul →
dust2	16–13	-0.02	14%	13 Jul →
cache	6–13	-0.06	26%	12 Jul →
inferno	13–16	0.00	14%	12 Jul →
ancient	3–1	-0.07	0%	12 Jul →
mirage	13–6	-0.09	4%	9 Jul →
cache	12–12	-0.05	6%	7 Jul →
inferno	4–13	-0.01	21%	1 Jul →
nuke	5–13	-0.09	14%	1 Jul →
nuke	13–10	-0.06	8%	10 Jun →
inferno	13–10	0.00	20%	10 Jun →
mirage	13–5	-0.04	10%	10 Jun →
nuke	4–13	-0.08	18%	10 Jun →
ancient	7–13	-0.05	13%	9 Jun →
inferno	6–13	-0.10	5%	9 Jun →
nuke	0–13	-0.04	33%	5 Jun →
mirage	6–13	-0.06	6%	4 Jun →
nuke	6–13	-0.05	14%	4 Jun →
dust2	6–13	-0.09	18%	31 May →
overpass	13–9	-0.03	8%	31 May →
mirage	8–13	-0.09	22%	30 May →
inferno	13–6	0.01	15%	28 May →
mirage	13–7	-0.06	25%	28 May →
dust2	13–11	-0.06	6%	28 May →
nuke	13–9	-0.06	16%	27 May →
inferno	6–13	-0.06	6%	27 May →
dust2	6–13	-0.02	28%	27 May →
inferno	13–7	0.03	27%	26 May →
mirage	13–6	-0.01	15%	26 May →
nuke	8–13	-0.09	7%	26 May →
overpass	14–16	-0.01	7%	25 May →
inferno	6–13	-0.07	8%	25 May →
dust2	13–9	-0.06	11%	23 May →
inferno	3–13	-0.04	9%	23 May →
nuke	6–13	-0.09	5%	23 May →
nuke	12–16	-0.00	14%	21 May →
nuke	13–3	-0.04	7%	21 May →
nuke	13–8	-0.03	10%	21 May →
nuke	12–16	-0.02	9%	18 May →
inferno	13–3	-0.06	13%	18 May →
inferno	13–11	-0.08	10%	18 May →
nuke	10–13	-0.08	9%	16 May →
inferno	13–9	0.07	12%	16 May →
ancient	13–5	-0.02	10%	16 May →
inferno	8–13	-0.08	11%	16 May →
dust2	8–13	-0.01	8%	15 May →
inferno	11–13	-0.06	6%	15 May →
nuke	13–4	-0.01	6%	15 May →
mirage	6–13	-0.05	5%	15 May →
dust2	13–5	-0.00	14%	14 May →