Limping — CS2 Stats

76561198105251690[U:1:144985962]Steam profile ↗✓ No bans

1,643Tracked matches43%Win rate2020Tracked since

6,809Hours in CS13Hrs last 2 wks

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating22,187Top 50% of 819 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)

CSDB Leaderboard#3791 of 11680 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median	vs Level 10
Headshot rate	58.1%	52.8%	above
Shot accuracy	18.0%	13.7%	above
Kill/death ratio	0.78	1.08	0.30 short
Match win rate	41.5%	49.2%	7.7% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim83

Positioning48

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWWLWWWLLWL

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating

Player DNA

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

Aim8.3

Aggression5.4

Utility5.9

Positioning4.8

Opening Duels2.3

Clutch4.0

Excellent counter-strafing

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 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Reaction time. 639ms 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

Aim8.3

Positioning4.8

Utility5.9

Mechanics8.5

Opening Duels2.3

Win Impact2.6

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time643ms+13ms

first ⅓ avg 630ms → last ⅓ avg 643ms

Headshot accuracy24.3%−0.1%

first ⅓ avg 24.4% → last ⅓ avg 24.3%

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

0.11Best rating — ancient 13–4

13–1Biggest win — dust2

5Longest win streak

W2Current streak

4–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 60% over 15infernoWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	-0.00
mirage	C	27	12–15	44%	-0.00
ancient	A	15	9–6	60%	0.01
cache	B	12	6–6	50%	-0.01
inferno	C	7	3–4	43%	-0.01
anubis	—	4	1–3	25%	-0.01
nuke	—	4	2–2	50%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

318,731Lifetime kills

0.78K/D

6,291Matches

41.5%Match win rate

58.1%Headshot % · Top 25% of Pink band

18.0%Shot accuracy · Top 25% of Pink band

15,360MVPs

7,334Hours (in match)

6,182Bombs planted

3,349Bombs defused

Most-used weapons

AK-47204,038

M4A4 / M4A1-S34,351

P2000 / USP-S13,275

AWP11,459

Desert Eagle7,480

Glock-186,293

P2503,979

FAMAS3,715

Knife3,359

Galil AR3,219

Lifetime map wins

11,858inferno

10,108dust2

4,530train

2,705nuke

2,463cbble

1,725vertigo

127safehouse

119bank

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

Faceit stats

Combat

1,510Matches

52%Win rate

1.07Avg K/D

79.5ADR

50%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	130	45%	0.99	15.2
Anubis	95	58%	1.04	15.6
Ancient	92	46%	0.95	15.2
Vertigo	49	49%	0.93	15.1
Dust2	30	53%	0.98	15.8
Overpass	26	23%	0.94	14.3
Nuke	22	55%	0.90	13.6
Inferno	22	59%	0.90	15.9

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.

23.9%Headshot accuracy

37.7%Accuracy (enemy spotted)

41.9%Spray accuracy

88.5%Counter-strafing

10.3°Preaim

639msReaction time

34.7%T opening success

43.7%CT opening success

0.57Enemies flashed / flash

5.4%Flash assists

7.71HE damage / grenade

12.18Flashes / 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 34.7008% — below the 40% mark we flag

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.

43% win rate across 7 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
ancient	13–4	0.01	27%	27 Aug →
mirage	16–14	0.04	22%	13 Aug →
anubis	11–13	0.01	25%	13 Aug →
mirage	13–10	-0.02	20%	13 Aug →
dust2	13–10	0.07	23%	12 Aug →
cache	13–11	-0.04	9%	12 Aug →
dust2	11–13	-0.05	21%	10 Aug →
dust2	11–13	-0.02	27%	9 Aug →
mirage	13–11	-0.05	26%	7 Aug →
mirage	8–13	-0.08	30%	7 Aug →
dust2	13–16	-0.03	18%	6 Aug →
cache	11–13	0.03	26%	5 Aug →
ancient	15–15	-0.11	19%	5 Aug →
mirage	11–13	-0.00	22%	4 Aug →
mirage	15–15	-0.03	23%	3 Aug →
inferno	6–13	0.00	34%	3 Aug →
ancient	13–9	0.02	23%	2 Aug →
anubis	4–13	0.01	29%	2 Aug →
cache	0–10	-0.08	28%	30 Jul →
dust2	9–13	-0.08	21%	30 Jul →
dust2	13–7	0.02	32%	29 Jul →
cache	4–13	-0.10	23%	29 Jul →
dust2	13–2	0.01	26%	28 Jul →
cache	11–13	-0.01	18%	28 Jul →
dust2	13–8	-0.01	15%	28 Jul →
ancient	13–6	0.02	29%	28 Jul →
dust2	13–7	0.00	29%	28 Jul →
mirage	9–13	0.03	34%	27 Jul →
dust2	8–13	-0.08	18%	27 Jul →
mirage	4–13	-0.04	33%	27 Jul →
dust2	13–8	0.01	31%	27 Jul →
cache	13–8	0.01	17%	27 Jul →
nuke	13–4	0.02	18%	27 Jul →
dust2	13–9	0.03	37%	27 Jul →
dust2	13–1	0.10	24%	27 Jul →
mirage	11–13	-0.02	23%	27 Jul →
ancient	11–13	-0.03	14%	23 Jul →
mirage	5–13	-0.04	18%	22 Jul →
dust2	9–13	-0.02	27%	22 Jul →
mirage	13–16	-0.06	20%	22 Jul →
ancient	10–13	-0.08	27%	20 Jul →
ancient	5–13	-0.01	14%	19 Jul →
ancient	15–15	0.06	17%	17 Jul →
mirage	13–5	-0.06	15%	17 Jul →
ancient	13–6	0.07	21%	16 Jul →
mirage	13–7	0.07	21%	16 Jul →
dust2	10–13	0.03	29%	15 Jul →
dust2	13–7	-0.04	10%	15 Jul →
dust2	5–13	-0.13	6%	15 Jul →
inferno	13–9	-0.02	24%	15 Jul →
nuke	13–16	0.01	29%	14 Jul →
dust2	13–7	0.00	28%	14 Jul →
mirage	13–9	-0.02	17%	13 Jul →
cache	7–13	-0.06	4%	13 Jul →
dust2	11–13	-0.07	17%	13 Jul →
cache	13–10	0.02	16%	13 Jul →
mirage	13–5	0.02	19%	13 Jul →
ancient	13–5	0.05	22%	13 Jul →
dust2	5–13	0.06	24%	13 Jul →
mirage	13–7	-0.05	27%	13 Jul →
mirage	15–15	-0.02	20%	13 Jul →
nuke	13–5	-0.03	30%	13 Jul →
anubis	7–13	-0.06	14%	13 Jul →
cache	13–3	0.02	23%	13 Jul →
cache	13–2	0.04	21%	13 Jul →
ancient	13–2	-0.03	21%	13 Jul →
cache	4–13	-0.03	20%	10 Jul →
inferno	8–13	-0.06	26%	9 Jul →
ancient	13–4	0.11	16%	8 Jul →
cache	13–11	0.08	14%	7 Jul →
dust2	8–13	0.03	30%	6 Jul →
inferno	13–2	0.05	10%	6 Jul →
inferno	13–9	0.02	29%	6 Jul →
dust2	14–16	-0.03	16%	6 Jul →
dust2	13–4	0.04	28%	5 Jul →
mirage	7–13	-0.00	23%	5 Jul →
mirage	13–9	0.05	21%	5 Jul →
dust2	13–3	0.06	26%	5 Jul →
mirage	13–2	-0.02	27%	5 Jul →
dust2	4–13	0.03	29%	5 Jul →
anubis	13–10	0.00	26%	30 Jun →
mirage	9–13	-0.00	22%	30 Jun →
inferno	3–13	-0.04	17%	30 Jun →
dust2	13–4	0.02	23%	30 Jun →
dust2	8–13	-0.01	32%	30 Jun →
mirage	15–15	0.03	21%	30 Jun →
dust2	13–7	0.05	23%	29 Jun →
nuke	9–13	0.01	24%	29 Jun →
mirage	10–13	0.10	39%	29 Jun →
mirage	13–6	0.06	33%	29 Jun →
ancient	13–6	-0.01	21%	29 Jun →
dust2	5–13	-0.09	26%	29 Jun →
ancient	10–13	-0.05	17%	29 Jun →
mirage	16–12	0.04	18%	29 Jun →
dust2	14–16	0.01	24%	28 Jun →
dust2	9–13	0.03	27%	28 Jun →
mirage	1–13	-0.01	33%	28 Jun →
ancient	13–7	0.11	38%	28 Jun →
inferno	2–13	-0.01	22%	28 Jun →
mirage	0–13	0.00	25%	28 Jun →