Woods22 — CS2 Stats

76561198139004017[U:1:178738289]✓ No bans

522Tracked matches57%Win rate2020Tracked since
CSDB Rating3.9 Learning
FaceitLevel 5 · 1,121 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGWoods22FACEITLevel 5 · 1,121 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim49
Positioning46
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateLLWLWLWWLW

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

Player DNA

Aim4.9
Aggression4.6
Utility1.8
Positioning4.6
Opening Duels0.3
Clutch5.4

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

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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.

T-side openings. Opening success drops from 44% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms 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

Aim4.9
Positioning4.6
Utility1.8
Mechanics5.4
Opening Duels1.7
Win Impact7.2

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time631ms+22ms
first ⅓ avg 610ms → last ⅓ avg 631ms
Headshot accuracy18.6%+4.1%
first ⅓ avg 14.5% → last ⅓ avg 18.6%

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

0.15Best rating — mirage 13–5
130Biggest win — overpass
8Longest win streak
L2Current streak
712In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 79% over 14ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2491538%-0.01
anubisB189950%-0.01
nukeS1411379%-0.02
dust2A127558%-0.02
infernoD72529%-0.01
ancientD71614%-0.01
overpassB63350%-0.03
trainB63350%-0.03
vertigo42250%-0.01
cache21150%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

83Matches
60%Win rate
1.21Avg K/D
74.4ADR
37%Headshot %

Clutches & streaks

47%1v1 clutch win
38%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage956%1.2514.4
Overpass683%1.3412.8
Inferno667%1.8512.7
Dust2580%1.7515.4
Anubis3100%0.8412.7
Vertigo2100%0.7811.0
Ancient1100%1.4014.0
Train10%0.507.0

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.

18.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
31.5%Spray accuracy
74.3%Counter-strafing
11.1°Preaim
627msReaction time
18.6%T opening success
43.9%CT opening success
0.34Enemies flashed / flash
0.8%Flash assists
5.88HE damage / grenade
3.14Flashes / 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.

  1. 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 0.3396 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 18.5935% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0516%24 Aug
cache9–13-0.0910%24 Aug
mirage13–30.0924%24 Aug
nuke12–16-0.0515%23 Aug
anubis13–80.0519%12 Aug
mirage11–13-0.0522%12 Aug
cache13–10-0.049%11 Jul
nuke13–7-0.0431%11 Jul
mirage7–13-0.0412%24 Jun
anubis13–90.0116%24 Jun
mirage10–13-0.0529%19 Jun
nuke13–11-0.0614%19 Mar
mirage4–13-0.0331%19 Mar
anubis13–100.0215%11 Mar
anubis10–13-0.047%21 Feb
anubis13–8-0.003%3 Feb
dust24–13-0.0947%3 Feb
nuke13–11-0.0516%3 Feb
anubis13–50.0211%2 Feb
dust213–20.0322%2 Feb
nuke10–13-0.049%2 Feb
overpass13–00.0312%1 Feb
mirage13–8-0.0426%1 Feb
inferno10–130.0722%22 Jan
vertigo13–70.0123%20 Dec
dust213–11-0.0617%20 Dec
dust210–130.0125%25 Oct
nuke13–9-0.0026%25 Oct
mirage13–11-0.0124%25 Oct
inferno13–16-0.0417%10 Oct
dust213–40.1018%1 Oct
mirage2–13-0.0718%1 Aug
overpass9–13-0.0510%1 Aug
overpass10–20.0828%1 Aug
overpass13–8-0.0611%30 Jul
dust216–140.0016%30 Jul
inferno13–10-0.0613%30 Jul
overpass11–13-0.0910%29 Jul
mirage1–13-0.0218%29 Jul
mirage9–13-0.0515%23 Jul
train8–13-0.0418%23 Jul
dust28–13-0.0116%23 Jul
mirage13–70.0328%23 Jul
train5–13-0.0529%23 Jul
dust211–13-0.0723%22 Jul
inferno13–10-0.0416%21 Jul
train13–90.0223%21 Jul
ancient6–130.0141%21 Jul
mirage13–10.0617%5 Jul
nuke13–110.0125%5 Jul
overpass3–13-0.0613%5 Jul
mirage13–50.1519%5 Jul
inferno11–130.0416%3 Jul
mirage10–130.0816%3 Jul
ancient9–13-0.0516%3 Jul
dust213–10-0.0219%26 Jun
mirage13–80.0615%26 Jun
nuke13–3-0.005%26 Jun
anubis13–20.1118%26 Jun
train13–8-0.0312%25 Jun
anubis13–60.0326%25 Jun
train13–6-0.0121%22 May
dust25–3-0.1513%27 Apr
inferno11–13-0.0415%15 Apr
train6–11-0.070%12 Apr
mirage11–13-0.0618%27 Mar
mirage10–13-0.0521%27 Mar
anubis11–13-0.0620%20 Mar
ancient11–13-0.0730%19 Mar
mirage6–13-0.045%19 Mar
anubis6–13-0.055%17 Mar
dust211–13-0.0311%17 Mar
nuke13–8-0.0814%16 Mar
mirage13–6-0.028%16 Mar
anubis7–13-0.0610%16 Mar
mirage8–13-0.0217%10 Mar
anubis7–13-0.0511%10 Mar
mirage7–13-0.0420%10 Mar
ancient7–13-0.0213%8 Mar
mirage6–13-0.0122%8 Mar
ancient13–90.1015%6 Mar
mirage13–100.0918%6 Mar
anubis13–60.1114%6 Feb
nuke13–50.0414%6 Feb
dust213–50.0624%5 Feb
anubis11–13-0.0118%15 Jan
anubis3–13-0.094%28 Dec
anubis2–13-0.115%27 Dec
nuke13–10.0913%27 Dec
anubis11–13-0.0721%19 Dec
mirage8–13-0.0811%6 Dec
vertigo13–16-0.0118%6 Dec
anubis13–60.0412%14 Nov
nuke16–13-0.0222%13 Oct
ancient8–13-0.0617%13 Oct
nuke13–6-0.0711%13 Oct
ancient3–110.0313%6 Oct
inferno8–13-0.0222%26 Sept
vertigo13–5-0.0313%26 Sept
vertigo11–13-0.028%26 Sept

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 →